67 research outputs found

    Stochastic resonance in chua's circuit driven by alpha-stable noise

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    Thesis (Master)--Izmir Institute of Technology, Electronics and Communication Engineering, Izmir, 2012Includes bibliographical references (leaves: 75-80)Text in English; Abstract: Turkish and Englishx, 80 leavesThe main aim of this thesis is to investigate the stochastic resonance (SR) in Chua's circuit driven by alpha-stable noise which has better approximation to a real-world signal than Gaussian distribution. SR is a phenomenon in which the response of a nonlinear system to a sub-threshold (weak) input signal is enhanced with the addition of an optimal amount of noise. There have been an increasing amount of applications based on SR in various fields. Almost all studies related to SR in chaotic systems assume that the noise is Gaussian, which leads researchers to investigate the cases in which the noise is non-Gaussian hence has infinite variance. In this thesis, the spectral power amplification which is used to quantify the SR has been evaluated through fractional lower order Wigner Ville distribution of the response of a system and analyzed for various parameters of alpha-stable noise. The results provide a visible SR effect in Chua’s circuit driven by symmetric and skewed-symmetric alpha-stable noise distributions. Furthermore, a series of simulations reveal that the mean residence time that is the average time spent by the trajectory in an attractor can vary depending on different alpha-stable noise parameters

    The design and analysis of quartic double well potential with stochastic resonance for communication systems

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    Non-linearity and noise are two phenomena that are expected to be essential to future advanced technologies. Although largely abstained, in general, from introduction into current communication systems, the counter-intuitive phenomenon called Stochastic Resonance (SR) can be introduced into communication systems in an innovative form. Therefore, in this thesis, the most prominent dynamical system in the SR field, the double well potential, namely the over-damped Duffing equation with symmetric bistable potential, has been studied in order to reveal its signal processing capabilities for communication systems. Within this thesis, the double well potential was designed in order to detect a binary pulse amplitude modulated (BPAM) signal subject to a background noise. The bit-error-rate (BER) performance was enhanced by adding various resonant signals to the input. In addition, the eye patterns of system output indicated that, while decreasing BER, a resonant causes a strong fluctuation. It was eliminated by a use of two systems coupled in parallel, which provided further performance improvement. The results inferred that the double well potential performs filtering and modulation. Following that, the double well potential was designed as a lowpass filter by determining the DC gain and cut-off frequency. Through simulations, as a filter, its noise suppression performance was shown to be better than that of various orders of Butterworth filters. The analog and digital modulation capabilities of the double well potential have also been investigated. In order to clarify the relation between input signal and modulation parameters, the differential equation driving the output was solved, and thus the output was expressed as a function of modulation parameters. It was shown that the output is a multivariate analog modulated signal. In terms of digital modulation, the output of system processing a PAM signal has been interpreted by means of a Markov chain. The results indicated that this process consists of a convolutional coding and multidimensional modulation. In addition, the presence of noise induced coding was found. Finally, the system was designed to obtain a pulse width position modulated (PWPM) output. Throughout the project, detection, filtering, modulation and coding capabilities have been demonstrated, it has been concluded that the double well potential is an sophisticated signal processing tool

    Neuroenhancement in Military Personnel::Conceptual and Methodological Promises and Challenges

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    Military personnel face harsh conditions that strain their physical and mental well-being, depleting resources necessary for sustained operational performance. Future operations will impose even greater demands on soldiers in austere environments with limited support, and new training and technological approaches are essential. This report highlights the progress in cognitive neuroenhancement research, exploring techniques such as neuromodulation and neurofeedback, and emphasizes the inherent challenges and future directions in the field of cognitive neuroenhancement for selection, training, operations, and recovery

    Wi-Fi based people tracking in challenging environments

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    People tracking is a key building block in many applications such as abnormal activity detection, gesture recognition, and elderly persons monitoring. Video-based systems have many limitations making them ineffective in many situations. Wi-Fi provides an easily accessible source of opportunity for people tracking that does not have the limitations of video-based systems. The system will detect, localise, and track people, based on the available Wi-Fi signals that are reflected from their bodies. Wi-Fi based systems still need to address some challenges in order to be able to operate in challenging environments. Some of these challenges include the detection of the weak signal, the detection of abrupt people motion, and the presence of multipath propagation. In this thesis, these three main challenges will be addressed. Firstly, a weak signal detection method that uses the changes in the signals that are reflected from static objects, to improve the detection probability of weak signals that are reflected from the person’s body. Then, a deep learning based Wi-Fi localisation technique is proposed that significantly improves the runtime and the accuracy in comparison with existing techniques. After that, a quantum mechanics inspired tracking method is proposed to address the abrupt motion problem. The proposed method uses some interesting phenomena in the quantum world, where the person is allowed to exist at multiple positions simultaneously. The results show a significant improvement in reducing the tracking error and in reducing the tracking delay

    Temporal integration of loudness as a function of level

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    Aerospace medicine and biology: A cumulative index to a continuing bibliography (supplement 384)

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    This publication is a cumulative index to the abstracts contained in Supplements 372 through 383 of Aerospace Medicine and Biology: A Continuing Bibliography. It includes seven indexes: subject, personal author, corporate source, foreign technology, contract number, report number, and accession number

    Treatise on Hearing: The Temporal Auditory Imaging Theory Inspired by Optics and Communication

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    A new theory of mammalian hearing is presented, which accounts for the auditory image in the midbrain (inferior colliculus) of objects in the acoustical environment of the listener. It is shown that the ear is a temporal imaging system that comprises three transformations of the envelope functions: cochlear group-delay dispersion, cochlear time lensing, and neural group-delay dispersion. These elements are analogous to the optical transformations in vision of diffraction between the object and the eye, spatial lensing by the lens, and second diffraction between the lens and the retina. Unlike the eye, it is established that the human auditory system is naturally defocused, so that coherent stimuli do not react to the defocus, whereas completely incoherent stimuli are impacted by it and may be blurred by design. It is argued that the auditory system can use this differential focusing to enhance or degrade the images of real-world acoustical objects that are partially coherent. The theory is founded on coherence and temporal imaging theories that were adopted from optics. In addition to the imaging transformations, the corresponding inverse-domain modulation transfer functions are derived and interpreted with consideration to the nonuniform neural sampling operation of the auditory nerve. These ideas are used to rigorously initiate the concepts of sharpness and blur in auditory imaging, auditory aberrations, and auditory depth of field. In parallel, ideas from communication theory are used to show that the organ of Corti functions as a multichannel phase-locked loop (PLL) that constitutes the point of entry for auditory phase locking and hence conserves the signal coherence. It provides an anchor for a dual coherent and noncoherent auditory detection in the auditory brain that culminates in auditory accommodation. Implications on hearing impairments are discussed as well.Comment: 603 pages, 131 figures, 13 tables, 1570 reference
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