Control Panel for Signal Processing Algorithms Control in Signal Processor

Tato bakalářská práce se zabývá návhrem univerzálního protokolu pro přenos parametrů algoritmů zpracování signálů. Praktická část práce popisuje realizaci ovládacího panelu s jednočipovým mikroprocesorem AVR z rodiny ATmega, spravující rozhraní navrženého protokolu. Tento ovládací panel bude řídit algoritmy číslicového zpracování signálů běžících na signálovém procesoru rodiny Freescale DSP563xx.This bachelor's thesis considers with design universal protocol for the transmission parameters of signal processing algorithms. Practical part of the work describes the realization of the control panel with microprocessor AVR series ATmega, managing the proposed protocol. This control panel will be managed by digital signal processing algorithms running on signal processors Freescale DSP563xx family.

Performance Analysis of PCFICH and PDCCH LTE Control Channels

Control channels play a key role in the evaluation of mobile system performance. The purpose of our paper is to evaluate the performance of the control channels implementation in the Long Term Evolution (LTE) system. The paper deals with the simulation of the complete signal processing chain for Physical Control Format Indicator Channel (PCFICH) and Physical Downlink Control Channel (PDCCH) in the LTE system, Release 8. We implemented a complete signal processing chain for downlink control channels as an extension of the existing MATLAB LTE downlink simulator. The paper presents results of PCFICH and PDCCH control channel computer performance analysis in various channel conditions. The results can be compared with the performance of data channels

A user configurable data acquisition and signal processing system for high-rate, high channel count applications

Real-time signal processing in plasma fusion experiments is required for control and for data reduction as plasma pulse times grow longer. The development time and cost for these high-rate, multichannel signal processing systems can be significant. This paper proposes a new digital signal processing (DSP) platform for the data acquisition system that will allow users to easily customize real-time signal processing systems to meet their individual requirements. The D-TACQ reconfigurable user in-line DSP (DRUID) system carries out the signal processing tasks in hardware co-processors (CPs) implemented in an FPGA, with an embedded microprocessor (μP) for control. In the fully developed platform, users will be able to choose co-processors from a library and configure programmable parameters through the μP to meet their requirements. The DRUID system is implemented on a Spartan 6 FPGA, on the new rear transition module (RTM-T), a field upgrade to existing D-TACQ digitizers. As proof of concept, a multiply-accumulate (MAC) co-processor has been developed, which can be configured as a digital chopper-integrator for long pulse magnetic fusion devices. The DRUID platform allows users to set options for the integrator, such as the number of masking samples. Results from the digital integrator are presented for a data acquisition system with 96 channels simultaneously acquiring data at 500 kSamples/s per channel

MATCHED ARCHITECTURES FOR SIGNAL PROCESSING AND CONTROL

Fast processing environments for real-time data acquisition, data processing and control applications may be realised using very different architectures. State of the art systems generally employ multiprocessors and parallel processing having a dedicated architecture such as systolic arrays to support computation-intensive signal processing tasks such as, for instance, convolution, filtering, FFT. etc. Mostly, general purpose rather than application driven architectures are used whenever possible and the available literature is heavily concentrated on the first configuration. At TPD-TNO, the research emphasis is on application driven architectures. and the objectives for the so-called 'matched' architecture designs are: - Capability for a wide range of sizes, starting from small systems. The objective here is design for scalability - Design for systems to be used in harsh environments - Design for minimum connectivity. reduced communication bandwidth, incorporation of dedicated preprocessing. multibus systems, etc. The real-time behaviour of general purpose architectures is not sufficiently predictable and they are not designed to perform acquisition tasks or data-intensive processing with high performance. Matched architectures, on the contrary, are designed for well defined applications and optimized for each application, The key effort in matched architecture research is directed towards efficiently mapping algorithms to processing steps in hardware (and software) architectures. Essentially. the design process is iterative

The role of fiberoptics in remote temperature measurement

The use of optical fibers in conjunction with infrared detectors and signal processing electronics represents the latest advance in the field of non-contact temperature measurement and control. The operating principles and design of fiber-optic radiometric systems are discussed and the advantages and disadvantages of using optical fibers are addressed. Signal processing requirements and various infrared detector types are also described. Several areas in which infrared fiber-optic instrumentation is used for temperature monitoring and control are discussed

Designer cell signal processing circuits for biotechnology

Microorganisms are able to respond effectively to diverse signals from their environment and internal metabolism owing to their inherent sophisticated information processing capacity. A central aim of synthetic biology is to control and reprogramme the signal processing pathways within living cells so as to realise repurposed, beneficial applications ranging from disease diagnosis and environmental sensing to chemical bioproduction. To date most examples of synthetic biological signal processing have been built based on digital information flow, though analogue computing is being developed to cope with more complex operations and larger sets of variables. Great progress has been made in expanding the categories of characterised biological components that can be used for cellular signal manipulation, thereby allowing synthetic biologists to more rationally programme increasingly complex behaviours into living cells. Here we present a current overview of the components and strategies that exist for designer cell signal processing and decision making, discuss how these have been implemented in prototype systems for therapeutic, environmental, and industrial biotechnological applications, and examine emerging challenges in this promising field

Signal processor architecture for backscatter radars

Real time signal processing for backscatter radars which requires computational throughput and I/O rates is discussed. The operations that are usually performed in real time are highly repetitive simple accumulations of samples or of products of samples. The control logic does not depend on the values of the data and general purpose computers are not required for the initial high speed processing. The implications of these facts on the architectures of preprocessors for backscatter radars are explored and applied to the design of the Radar Signal Compender