Digital ADCs and ultra-wideband RF circuits for energy constrained wireless applications by Denis Clarke Daly.

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.Cataloged from PDF version of thesis.Includes bibliographical references (p. 173-183).Ongoing advances in semiconductor technology have enabled a multitude of portable, low power devices like cellular phones and wireless sensors. Most recently, as transistor device geometries reach the nanometer scale, transistor characteristics have changed so dramatically that many traditional circuits and architectures are no longer optimal and/or feasible. As a solution, much research has focused on developing 'highly digital' circuits and architectures that are tolerant of the increased leakage, variation and degraded voltage headrooms associated with advanced CMOS processes. This thesis presents several highly digital, mixed-signal circuits and architectures designed for energy constrained wireless applications. First, as a case study, a highly digital, voltage scalable flash ADC is presented. The flash ADC, implemented in 0.18 [mu]m CMOS, leverages redundancy and calibration to achieve robust operation at supply voltages from 0.2 V to 0.9 V. Next, the thesis expands in scope to describe a pulsed, noncoherent ultra-wideband transceiver chipset, implemented in 90 nm CMOS and operating in the 3-to-5 GHz band. The all-digital transmitter employs capacitive combining and pulse shaping in the power amplifier to meet the FCC spectral mask without any off-chip filters. The noncoherent receiver system-on-chip achieves both energy efficiency and high performance by employing simple amplifier and ADC structures combined with extensive digital calibration. Finally, the transceiver chipset is integrated in a complete system for wireless insect flight control.(cont.) Through the use of a flexible PCB and 3D die stacking, the total weight of the electronics is kept to 1 g, within the carrying capacity of an adult Manduca sexta moth. Preliminary wireless flight control of a moth in a wind tunnel is demonstrated.Ph.D

Synthesis and analysis of nonlinear, analog, ultra low power, Bernoulli cell based CytoMimetic circuits for biocomputation

A novel class of analog BioElectronics is introduced for the systematic implementation of ultra-low power microelectronic circuits, able to compute nonlinear biological dynamics. This class of circuits is termed ``CytoMimetic Circuits'', in an attempt to highlight their actual function, which is mimicking biological responses, as observed experimentally. Inspired by the ingenious Bernoulli Cell Formalism (BCF), which was originally formulated for the modular synthesis and analysis of linear, time-invariant, high-dynamic range, logarithmic filters, a new, modified mathematical framework has been conceived, termed Nonlinear Bernoulli Cell Formalism (NBCF), which forms the core mathematical framework, characterising the operation of CytoMimetic circuits. The proposed nonlinear, transistor-level mathematical formulation exploits the striking similarities existing between the NBCF and coupled ordinary differential equations, typically appearing in models of naturally encountered biochemical systems. The resulting continuous-time, continuous-value, low-power CytoMimetic electronic circuits succeed in simulating with good accuracy cellular and molecular dynamics and found to be in very good agreement with their biological counterparts. They usually occupy an area of a fraction of a square millimetre, while consuming between hundreds of nanowatts and few tenths of microwatts of power. The systematic nature of the NBCF led to the transformation of a wide variety of biochemical reactions into nonlinear Log-domain circuits, which span a large area of different biological model types. Moreover, a detailed analysis of the robustness and performance of the proposed circuit class is also included in this thesis. The robustness examination has been conducted via post-layout simulations of an indicative CytoMimetic circuit and also by providing fabrication-related variability simulations, obtained by means of analog Monte Carlo statistical analysis for each one of the proposed circuit topologies. Furthermore, a detailed mathematical analysis that is carefully addressing the effect of process-parameters and MOSFET geometric properties upon subthreshold translinear circuits has been conducted for the fundamental translinear blocks, CytoMimetic topologies are comprised of. Finally, an interesting sub-category of Neuromorphic circuits, the ``Log-Domain Silicon Synapses'' is presented and representative circuits are thoroughly analysed by a novel, generalised BC operator framework. This leads to the conclusion that the BC operator consists the heart of such Log-domain circuits, therefore, allows the establishment of a general class of BC-based silicon synaptic circuits, which includes most of the synaptic circuits, implemented so far in Log-domain.Open Acces

Wearable electroencephalography for long-term monitoring and diagnostic purposes

Truly Wearable EEG (WEEG) can be considered as the future of ambulatory EEG units, which are the current standard for long-term EEG monitoring. Replacing these short lifetime, bulky units with long-lasting, miniature and wearable devices that can be easily worn by patients will result in more EEG data being collected for extended monitoring periods. This thesis presents three new fabricated systems, in the form of Application Specific Integrated Circuits (ASICs), to aid the diagnosis of epilepsy and sleep disorders by detecting specific clinically important EEG events on the sensor node, while discarding background activity. The power consumption of the WEEG monitoring device incorporating these systems can be reduced since the transmitter, which is the dominating element in terms of power consumption, will only become active based on the output of these systems. Candidate interictal activity is identified by the developed analog-based interictal spike selection system-on-chip (SoC), using an approximation of the Continuous Wavelet Transform (CWT), as a bandpass filter, and thresholding. The spike selection SoC is fabricated in a 0.35 μm CMOS process and consumes 950 nW. Experimental results reveal that the SoC is able to identify 87% of interictal spikes correctly while only transmitting 45% of the data. Sections of EEG data containing likely ictal activity are detected by an analog seizure selection SoC using the low complexity line length feature. This SoC is fabricated in a 0.18 μm CMOS technology and consumes 1.14 μW. Based on experimental results, the fabricated SoC is able to correctly detect 83% of seizure episodes while transmitting 52% of the overall EEG data. A single-channel analog-based sleep spindle detection SoC is developed to aid the diagnosis of sleep disorders by detecting sleep spindles, which are characteristic events of sleep. The system identifies spindle events by monitoring abrupt changes in the input EEG. An approximation of the median frequency calculation, incorporated as part of the system, allows for non-spindle activity incorrectly identified by the system as sleep spindles to be discarded. The sleep spindle detection SoC is fabricated in a 0.18 μm CMOS technology, consuming only 515 nW. The SoC achieves a sensitivity and specificity of 71.5% and 98% respectively.Open Acces

High Performance Tunable Active Inductors For Microwave Circuits

Tez (Doktora) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2016Thesis (PhD) -- İstanbul Technical University, Institute of Science and Technology, 2016RF uygulamalarında enduktif karakteristiğe önemli ölçüde ihtiyaç duyulmaktadır; bunlar, özellikle filtreler, düşük gürültülü yükselteçler (LNA, low noise amplifiers), gerilim kontrollü osilatörler (VCO, voltage controlled oscillators), pek çok farklı türde yükselteç için band genişliği iyileştirilmesi, faz kaydırıcılar, güç bölücüler ve eşleştirme (matching) devreleri vb. uygulamalardır. Pasif sarmal çip-içi CMOS endüktansların eksik yönleri ayrıntılı olarak literatürde tartışılmıştır. Bu tür endüktanslar düşük değer katsayısı (quality factor), düşük öz-rezonans frekansı (SRF, self-resonance frequency), sabit ve düşük değerli endüktans ve geniş bir silikon (silicon) alanı gerektirmeleri gibi istenmeyen özelliklere sahiptirler. Diğer yandan, MOS transistorlar kullanılarak sentezlenen CMOS aktif endüktansların, pasif sarmal eşdeğer yapıları ile karşılaştırıldığında pek çok çekici karakteristik özellik sunabildikleri gösterilmiştir. Bunlar; geniş bir bölgede ayarlanabilir öz-rezonans frekansı başarımı, geniş bir bölgede ayarlanabilir endüktans başarımı, geniş bir bölgede ayarlanabilir değer katsayısı başarımı, CMOS teknolojileri ile tümüyle gerçeklenebilme ve az alan kaplama gibi karakteristik özellikleri olarak ortaya konulmaktadır. Literatürde jiratör-C (GC) prensibi, topolojisi, karakterizasyonu ve uygulamaları ayrıntılı olarak ele alınmaktadır. İşlemsel geçiş-iletkenliği kuvvetlendiricisi (OTA, operational transconductance amplifier) ile gerçeklenen GC devreleri, RF uygulamaları için oldukça uygundur. Bu özellik, GC yapılarının söz konusu yapı kullanılarak en az sayıda aktif eleman ile gerçeklenebilmesinden kaynaklanmaktadır. Gerek topraklı (grounded) gerekse yüzen (floating) aktif endüktansların GC devreleri ile gerçeklenebildiği gösterilmiştir. Aktif endüktansların başarımlarının nicel olarak ölçülmesi amacıyla, çok sayıda ölçüt ortaya konulmuştur. Bu ölçütler frekans çalışma aralığı, endüktans ayarlanabilirliği, değer katsayısı, gürültü ve güç tüketimi gibi temel özellikleri içerirler. CMOS transistorların parazitik bileşenlerinden dolayı tasarlanan aktif endüktanslar belirli bir frekans bölgesinde endüktif davranış gösterirler. Alt frekans sınırı, GC devrelerinin sıfır frekansı ile belirlenirken; üst frekans sınırı ise öz-rezonans frekansı ile belirlenir. Aktif endüktansların pasif sarmal eşdeğer yapılarına göre en önemli üstünlüklerinden biri de; endüktanslarının geniş bir değer aralığıunda ayarlanabilir olmasıdır. GC aktif endüktansların endüktans değeri, transistorların geçiş-iletkenliklerinin ya da MOS varaktörlerle gerçeklenen yük kapasitanslarının değiştirilmesi ile ayarlanabilir. Literatürde, GC topolojisine dayalı pek çok CMOS AI (active inductor) devresi bildirilmiştir. Bunların tümü, farklı teknikler kullanılarak yüksek başarımlı AI yapıları oluşturmayı amaçlamışlardır. Bu tezde, bunlardan güncel olan bazı GAI (grounded AI) ve FAI (floating AI) yapıları gözden geçirilmiştir. Bunlardan bazıları, değer katsayısını (QF) iyileştirmek amacıyla, AI kaybını telafi etmek için negatif direnç kullanmışlardır. GC yapıları RF uygulamaları için tasarlandıklarında en az sayıda transistor kullanımı çok kritiktir. Çünkü bu durum AI öz-rezonans frekansının artmasına yardımcı olur. AI’ler, kazanç artırma amacıyla LNA’lerde geniş kullanım alanı bulabilmektedirler. Diğer taraftan, AI yapılarının en önemli dezvantajlarından biri gürültü başarımının pasif endüktanslara nispeten yüksek olmasıdır. Literatürde bu dezavantajı gidermek amacıyla teklif edilen yaklaşımlardan biri dejenerasyon direncinin bulunduğu bir geribesleme katı kullanılarak girişe gelen gürültü katkısını azaltmayı amaçlamıştır. Literatürde teklif edilen tekniklerin amacı, parazitik bileşenlerin etkisini azaltmak ya da tümüyle ortadan kaldırmaktır. Bu tezde, ileri devre teknikleri kullanılarak, yeni topraklı (grounded) ve yüzen (floting) AI yapıları tasarlanmıştır. AI giriş ve çıkış düğümlerine ait iletkenlikleri azaltmak için çoklu-düzenlenmiş kaskod (multi-regulated cascode, MRC) katları QF değerini iyileştirme amacıyla kullanılmaktadır. MRC katı PMOS transistorlarıyla oluşturulmuştur. PMOS transistor kullanımı, • ikinci kat kutuplamasını ayarlayabilmek amacıyla, giriş transistor boyutunun mümkün olduğunca azaltılmasını, • ana AC işaret yolundaki transistor sayısının azaltılmasını, sağlamaktadır. Tezde sunulan teorik analiz ve serim sonrası benzetim sonuçları, MRC katı kullanımının AI özelliklerine yaptığı etkiyi göstermektedir. Elde edilen sonuçlar bu katların AI tasarımında yüksek QF elde edilmesini imkan tanıdığını ortaya koynaktadır. Literatürde, iki ana AI başarım karakteristiği olan SRF ve QF başarımlarının iyileştirmesi için çok sayıda çalışma bulunmaktadır. Bu tezde, birbirlerini etkilemeksizin SRF ve QF başarımlarının ayarlanabilmesi özelliğine sahip bir AI’ın tasarımı ve benzetgimi yapılmıştır. Kaskod ve RC geribesleme yapıları yeni AI tasarımında kullanılmıştır. Daha önce de tartışıldığı üzere, AI karakterizasyonu açısından giriş transistoru çok önemlidir. Girişi transistorunun kaskodlanması, ilk jiratörün geçiş-iletkenliğinin ve giriş parazitik kapasitansının birbirinden bağımsız olarak ayarlanması gibi önemli ve kullanışlı bir özelliği beraberinde getirir. Bunun yanısıra, endüktansın değeri diğer transistorun iletkenliği ile ayarlanabilir. AI parazitik seri-rezistansını yok etmek amacıyla kullanılan RC geribeslemesi, QF iyileştirmesini sağlayabilmektedir. Kaskod transistorların kutuplama koşulu bir diyot-bağlı transistor ile sağlandığından; önerilen yapı proses, gerilim ve sıcaklık değişimleri açısından kararlı ve yüksek başarımlıdır. AI yapılarında karşılaşılan düşük gürültü başarımı, AI’ların LNA gibi RF uygulamalarda kullanımını sınırlamaktadır. Bir AI’ın ana gürültü kaynağı giriş transistorudur. Düşük gürültülü AI elde etmek için, giriş transistoru yeterince büyük boyutlu olarak tasarlanmalıdır. Ne var ki, büyük boyutlu böyle bir transistor, düşük bir SRF ve dolayısıyla sınırlı bir endüktif bandı beraberinde getirir. Bu tezde, düşük gürültülü ve az kayıplı uygun bir AI, düşük gürültü gerektiren RF uygulamaları için sunulmuştur. Teklif edilen AI devresindeki tüm transistorların ortak-kaynak (common-source, CS) yapısında kullanılması, düşük iletkenliğe sahip düğümlerin dolayısıyla yüksek QF değerine sahip bir AI’ın elde edilmesine olanak sağlamaktadır. AI gürültüsünü azaltmak için, sırasıyla P-tipi MOS transistorlar ve ileri-besleme yolu yapısı (feed-forward path, FFP) kullanılmaktadır. Bilindiği gibi, sensörler çok çeşitli fiziksel büyüklüklerin eletrik mühendisiliği alanına taşınmasını sağlamaktadır. Çok geniş kullanım alanı bulan sensör tiplerinden biri kapasitif mikro algılıyıcılardır. Kapasitif mikro algılayıcılar mekanik hareketleri küçük kapasitans değişimlerine çevirirler. Micro algılayıcıdaki kapasitans değişimi femto-Farad mertebesinde olup algılamayı zorlaştırmaktadır. Diğer yandan, küçük bir kapasitans değişimini yüksek bir empedans değişimine çevirebilmeleri dolayısıyla, GC topolojilerinin kapasitif algılayıcılarda kullanılabileceğini söylemek mümkündür. Bu tezde, bu düşünceden yola çıkılarak, kesit duyarlılığını yok etme yeteneğine sahip yeni bir 3-eksen ivme-ölçer tasarlanmıştır. Yapının, her eksendeki ivmeyi bağımsız olarak algılayabilmesi için, algılayıcı elektrodları uygun olarak yerleştirilmiştir. Daha sonra, bir kapasitif algılayıcıdaki çok küçük kapasitans değişimlerini algılayabilmek için yeni bir GC yapısı teklif edilmiştir. Önerilen yapıda, çalışma frekansı aralığı ve ölçekleme çarpanı, kutuplama akımlarının ayarlanması suretiyle birbirini etkilemeksizin ayarlanabilmektedir. Ayrıca, önerilen yapıda, parazitik bileşenlerin etkisini yok etmek için RC geribesleme ve kaskod yapılar kullanılmaktadır. Son olarak, bu tezde sunulan AI’ların çok amaçlı özellikte olduğunu göstermek amacıyla, 3 ve 6. dereceden geniş bantlı mikrodalga filtrelerde kullanılmaları ele alınmıştır. İlki 3. dereceden bir Chebyshev alçak geçiren filtredir. Basitleştirilmiş gerçel frekans tekniği (SRFT, simplified real frequency technique) ile tasarlanan ikincisi ise, 6. dereceden bir Chebyshev band geçiren filtredir. Filtrelerin benzetimle elde edilmiş frekans yanıtları, bu tezde sunulan AI’ların literatürdeki yapılara güçlü birer alternatif olduklarını ortaya koymaktadır.There is critical need for inductive characteristics in RF applications, especially in filters, LNA, VCO, bandwidth-enhancement in many kinds of amplifiers, phase shifters, power divider and matching networks. The drawbacks of using passive and spiral inductors in CMOS process are discussed in the literature. It is shown that these kind of inductors suffer from a low quality factor, a low self-resonant frequency, a low and fixed inductance value and the need for a large silicon area. Furthermore, it is shown in the literature that CMOS Active Inductors (AIs), which are synthesized using MOS transistors, offer a number of attractive characteristics as compared with their spiral counterparts. These characteristics include a low silicon consumption, a large and tunable self-resonant frequency, a large and tunable inductance, a large and tunable quality factor, and fully realizable in digital CMOS technologies. Then principles, topologies, characterizations and implementation of the Gyrator-C (GC) network is discussed in-depth. The GC networks, which are implemented by operational transconductance amplifier, are suitable for RF application. This property arises from their minimum usage of active elements. It is shown that both grounded and floating active inductors can be implemented by GC networks. To provide a quantitative measure of the performance of AIs, a number of figure-of-merits have been introduced in the thesis. These figure-of-merits include frequency range, inductance tunability, quality factor, noise and power consumption. Due to parasitic components of CMOS transistors, designed AIs have inductive behavior in a specified frequency range. The low frequency bound is set by the frequency of the zero of the gyrator-C networks while the upper frequency bound is set by Self-Resonance Frequency (SRF). One of the key advantages of active inductors over their spiral counterparts is the large tunability of their inductance. The inductance of GC AIs can be tuned by varying either the transconductances of the transconductors or the load capacitance, which is implemented by MOS varactor. Based on GC topology, there are many reported CMOS AI circuits in literature. All of them have tried to invent high performance AI by using different techniques. Some of recent proposed Grounded AI (GAI) and Floating AI (FAI) circuits are reviewed in the thesis. Some of them use negative resistor to compensate the loss of AI for QF enhancement. Some others try to use minimum number of transistors in order to increase the self-resonance frequency of AI for RF applications. In some applications, AIs are used in LNA circuits for gain boosting purpose. In that applications, designers have tried to cancel the noise of AI by using a feedback stage with a degeneration resistor to reduce the noise contribution to the input. The main aim of all the techniques is to cancel or reduce the effects of parasitic components. In the thesis, four new grounded and floating AIs are designed by using advanced circuit techniques. The first one, Multi Regulated Cascode (MRC) stages are employed for lowering conductance in input and output nodes of AI. Thus, Q performance is improved. Since these stages are used only for increasing impedance of input/output nodes, they are made up of PMOS transistors in order to: • minimize the input transistor as small as possible in order to adjust second stage biasing, • decrease the number of transistors in main path of AC signal Theoretical analysis and post-layout simulation results shows the effectiveness of using MRC stages usage in properties of AI. High Q symmetric floating version of low loss inductor is also designed by utilizing MRC stages. Designers do their best to improve SRF and QF, two main characteristics in term of AI performance. An AI with ability to adjust its SRF and QF without affecting each other is designed and simulated as a third. The cascoding and RC feedback structures are used in the new design of AI. As it discussed before, input transistor is very important regarding to AI characterizations. Cascoding input transistor gives the ability to adjust the first gyrator’s transconductance and input parasitic capacitance independently which it results in adjusting the self-resonance frequency and quality factor separately. Due to our best knowledge from literature reviewing, it is first time that the properties of an inductor can be adjusted independently. Furthermore, the inductance value can be adjusted by other transistor’s transconductances. Also, the RC feedback is utilized to cancel the parasitic series-resistance of AI which results in QF enhancement. Since, bias condition of cascoding transistors is provided by a diode-connected transistor, the proposed structure is robust in terms of performance over variation in process, voltage and temperature. The Noise of designed AIs has limited the use of them in RF applications such as LNAs. The main noise source of an AI is its input transistor. In order to have low noise AI, the input transistor should be designed large enough. But it leads to low SRF which limited the inductive frequency band. As a fourth active inductor design, a low-noise and low-loss AI is presented suitable for RF low noise applications. Utilizing all transistors in Common Sourse (CS) configuration on the AI circuit leads to low conductance nodes which causes the AI to have high Q. P-type MOS transistors and Feed-Forward Path (FFP) are employed to decrease noise of the AI, respectively. The GC topologies can convert a low capacitance variation to high impedance changing which makes it a good choice for capacitive sensors. The capacitive based micro sensors convert mechanical signals to small capacitance variation. The capacitance variation in micro sensor is in the range of femto-Farads which makes it difficult to sense. Thus, the GC topologies can be used in capacitive sensors in order to sense small capacitive variations. In the thesis, this technique is used in a new accelerometer sensor. It is first time that a gyrator-C network is employed as an interface circuit for capacitive change detection in micro sensors. The new accelerometer structure is designed by using with ability to cancel cross section sensitivity. The sensor’s electrodes are located in such a way that enables the structure to detect acceleration in 3-axis independently. Embedding all 3-axis detecting electrodes in a single proof mass and ability to detect acceleration orientation are salient features of the proposed sensor. Consequently, a new GC configuration for sensing very small capacitance changes in a capacitive sensor is presented in the thesis. In the proposed configuration, the operating frequency range and scaling factor can be adjusted without affecting each other by tuning the bias currents of utilized gyrators. In addition, the proposed configuration employs RC feedback together with the cascoding technique to cancel the effect of the parasitic components in order to get accurate scaling from gyrator-C network. Finally, in order to show versatility of designed AIs, they are used in designed third and sixth order broadband microwave filters. The first one is a third order Chebyshev low pass filter. The second one, which is designed by using simplified real frequency technique is a sixth order Chebyshev band pass filter. The simulated frequency response of filters prove the workability of the designed AIs.DoktoraPh

VLSI Design of Heart Model

Heart disease is a leading cause of death in the United States and abroad. Research interests arise in understanding the nature of the dynamics of the heart and seeking methods to control and suppress arrhythmias. Simulation of the heart electrical activity is a useful approach to study the heart because it yields some quantities of interest that cannot practically be obtained in any other way. However, the complexity of the human heart leads to complicated mathematical models, and consequently, modeling arrhythmias of a whole heart with computers is extremely data intensive and computational challenging. In this dissertation, we introduce an analog VLSI design that simulates cardiac electrical activities. The selected cardiac model is based on the Beeler-Reuter equations and the continuous core-conductor model. The Beeler-Reuter equations formulate the membrane ionic kinetics of ventricular cells, and the core-conductor model describes the electrical signal conduction on cardiac tissues. We discuss the design flows of mapping equations into circuits and present a set of circuit blocks of basic mathematical function units. The transistor circuits for realizing the ionic model of a single cell is introduced, and capacitors are used to calculate time directives. A method of shifting the initial conditions of differential equations to zero is discussed for saving the circuit which sets up the initial voltages of the capacitors. We also introduce a method of implementing reaction-diffusion systems using non-linear RC networks, and present the circuit which simulates the reaction-diffusion process, i.e. the electrical propagation, of the heart. Error analysis is carried out for the circuit-realized Beeler-Reuter model by comparing the simulated functions with the equation calculated values. The PSpice simulation results show that the circuit created action potential is satisfactory. The important reentry phenomena, the primary mechanism underlying fibrillation, is presented, and an anatomical reentry in the 1-dimensional model and a functional reentry (spiral wave) in the 2-dimensional model are successfully simulated in circuits. The presented methods of implementing equations with analog VLSI circuit contribute to the fundamentals for a novel technique of obtaining numerical solutions and potential fast application-specified analog computational devices if the circuits are fabricated on chips. Unlike computing with digital computers, which is mainly a serial process and needs to discretize the space and the time domain for finding numerical solutions of the discretization points one by one, computation with analog VLSI relies on the physics of the electrical devices and takes advantage of the integration properties of capacitors and, hence, computing in analog circuit hardware is a parallel process and can be real-time, that is, the calculation time is the time simulated by equations

Exploring information retrieval using image sparse representations:from circuit designs and acquisition processes to specific reconstruction algorithms

New advances in the field of image sensors (especially in CMOS technology) tend to question the conventional methods used to acquire the image. Compressive Sensing (CS) plays a major role in this, especially to unclog the Analog to Digital Converters which are generally representing the bottleneck of this type of sensors. In addition, CS eliminates traditional compression processing stages that are performed by embedded digital signal processors dedicated to this purpose. The interest is twofold because it allows both to consistently reduce the amount of data to be converted but also to suppress digital processing performed out of the sensor chip. For the moment, regarding the use of CS in image sensors, the main route of exploration as well as the intended applications aims at reducing power consumption related to these components (i.e. ADC & DSP represent 99% of the total power consumption). More broadly, the paradigm of CS allows to question or at least to extend the Nyquist-Shannon sampling theory. This thesis shows developments in the field of image sensors demonstrating that is possible to consider alternative applications linked to CS. Indeed, advances are presented in the fields of hyperspectral imaging, super-resolution, high dynamic range, high speed and non-uniform sampling. In particular, three research axes have been deepened, aiming to design proper architectures and acquisition processes with their associated reconstruction techniques taking advantage of image sparse representations. How the on-chip implementation of Compressed Sensing can relax sensor constraints, improving the acquisition characteristics (speed, dynamic range, power consumption) ? How CS can be combined with simple analysis to provide useful image features for high level applications (adding semantic information) and improve the reconstructed image quality at a certain compression ratio ? Finally, how CS can improve physical limitations (i.e. spectral sensitivity and pixel pitch) of imaging systems without a major impact neither on the sensing strategy nor on the optical elements involved ? A CMOS image sensor has been developed and manufactured during this Ph.D. to validate concepts such as the High Dynamic Range - CS. A new design approach was employed resulting in innovative solutions for pixels addressing and conversion to perform specific acquisition in a compressed mode. On the other hand, the principle of adaptive CS combined with the non-uniform sampling has been developed. Possible implementations of this type of acquisition are proposed. Finally, preliminary works are exhibited on the use of Liquid Crystal Devices to allow hyperspectral imaging combined with spatial super-resolution. The conclusion of this study can be summarized as follows: CS must now be considered as a toolbox for defining more easily compromises between the different characteristics of the sensors: integration time, converters speed, dynamic range, resolution and digital processing resources. However, if CS relaxes some material constraints at the sensor level, it is possible that the collected data are difficult to interpret and process at the decoder side, involving massive computational resources compared to so-called conventional techniques. The application field is wide, implying that for a targeted application, an accurate characterization of the constraints concerning both the sensor (encoder), but also the decoder need to be defined

Analysis and Design of Radio Frequency Integrated Circuits for Breast Cancer Radar Imaging in CMOS Technology

Breast cancer is by far the most incident tumor among female population. Early stage prevention is a key factor in delivering long term survival of breast cancer patients. X-ray mammography is the most commonly used diagnostic technique to detect non-palpable tumors. However, 10-30% of tumors are missed by mammography and ionizing radiations together with breast compression do not lead to comfort in patient treatment. In this context, ultrawideband microwave radar technology is an attractive alternative. It relies on the dielectric contrast of normal and malignant tissues at microwave frequencies to detect and locate tumors inside the breast. This work presents the analysis and design of radio frequency integrated circuits for breast cancer imaging in CMOS technology. The first part of the thesis concerns the system analysis. A behavioral model of two different transceiver architectures for UWB breast cancer imaging employing a SFCW radar system are presented. A mathematical model of the direct conversion and super heterodyne architectures together with a numerical breast phantom are developed. FDTD simulations data are used to on the behavioral model to investigate the limits of both architectures from a circuit-level point of view. Insight is given into I/Q phase inaccuracies and their impact on the quality of the final reconstructed images. The result is that the simplicity of the direct conversion architecture makes the receiver more robust toward the critical impairments for this application. The second part of the thesis is dedicated to the circuit design. The main achievement is a 65nm CMOS 2-16GHz stepped frequency radar transceiver for medical imaging. The RX features 36dB conversion gain, >29dBm compression point, 7dB noise figure, and 30Hz 1/f noise corner. The TX outputs 14dBm with >40dBc harmonic rejection and <109dBc/Hz phase noise at 1MHz offset. Overall power dissipation is 204mW from 1.2V supply. The radar achieves 3mm resolution within the body, and 107dB dynamic range, a performance enabling the use for breast cancer diagnostic imaging. To further assess the capabilities of the proposed radar, a physical breast phantom was synthesized and two targets mimicking two tumors were buried inside the breast. The targets are clearly identified and correctly located, effectively proving the performance of the designed radar as a possible tool for breast cancer detection

Bio-inspired electronics for micropower vision processing

Vision processing is a topic traditionally associated with neurobiology; known to encode, process and interpret visual data most effectively. For example, the human retina; an exquisite sheet of neurobiological wetware, is amongst the most powerful and efficient vision processors known to mankind. With improving integrated technologies, this has generated considerable research interest in the microelectronics community in a quest to develop effective, efficient and robust vision processing hardware with real-time capability. This thesis describes the design of a novel biologically-inspired hybrid analogue/digital vision chip ORASIS1 for centroiding, sizing and counting of enclosed objects. This chip is the first two-dimensional silicon retina capable of centroiding and sizing multiple objects2 in true parallel fashion. Based on a novel distributed architecture, this system achieves ultra-fast and ultra-low power operation in comparison to conventional techniques. Although specifically applied to centroid detection, the generalised architecture in fact presents a new biologically-inspired processing paradigm entitled: distributed asynchronous mixed-signal logic processing. This is applicable to vision and sensory processing applications in general that require processing of large numbers of parallel inputs, normally presenting a computational bottleneck. Apart from the distributed architecture, the specific centroiding algorithm and vision chip other original contributions include: an ultra-low power tunable edge-detection circuit, an adjustable threshold local/global smoothing network and an ON/OFF-adaptive spiking photoreceptor circuit. Finally, a concise yet comprehensive overview of photodiode design methodology is provided for standard CMOS technologies. This aims to form a basic reference from an engineering perspective, bridging together theory with measured results. Furthermore, an approximate photodiode expression is presented, aiming to provide vision chip designers with a basic tool for pre-fabrication calculations

Advances in Bioengineering

The technological approach and the high level of innovation make bioengineering extremely dynamic and this forces researchers to continuous updating. It involves the publication of the results of the latest scientific research. This book covers a wide range of aspects and issues related to advances in bioengineering research with a particular focus on innovative technologies and applications. The book consists of 13 scientific contributions divided in four sections: Materials Science; Biosensors. Electronics and Telemetry; Light Therapy; Computing and Analysis Techniques

Personality Identification from Social Media Using Deep Learning: A Review

Social media helps in sharing of ideas and information among people scattered around the world and thus helps in creating communities, groups, and virtual networks. Identification of personality is significant in many types of applications such as in detecting the mental state or character of a person, predicting job satisfaction, professional and personal relationship success, in recommendation systems. Personality is also an important factor to determine individual variation in thoughts, feelings, and conduct systems. According to the survey of Global social media research in 2018, approximately 3.196 billion social media users are in worldwide. The numbers are estimated to grow rapidly further with the use of mobile smart devices and advancement in technology. Support vector machine (SVM), Naive Bayes (NB), Multilayer perceptron neural network, and convolutional neural network (CNN) are some of the machine learning techniques used for personality identification in the literature review. This paper presents various studies conducted in identifying the personality of social media users with the help of machine learning approaches and the recent studies that targeted to predict the personality of online social media (OSM) users are reviewed