Engineering Department of Electrical Engineering Digital Signal Processors Mohammed Mohammed Al-Sanabani | 503/2008 | Telecom | 4th Level Abstract During the past decade digital signal processors (DSPs) have hit critical mass for high-volume applications. Today‚ the entire digital wireless industry operates with DSP-enabled handsets and base stations. This paper gives a plain introduction to DSP devices. The discussion focuses on the digital electronics aspects of DSP as well as applications
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Digital signal processor [edit] Typical characteristics Digital signal processing algorithms typically require a large number of mathematical operations to be performed quickly and repetitively on a set of data. Signals (perhaps from audio or video sensors) are constantly converted from analog to digital‚ manipulated digitally‚ and then converted again to analog form‚ as diagrammed below. Many DSP applications have constraints on latency; that is‚ for the system to work‚ the DSP operation must
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undergraduate study‚ I sharpened my intuitive intellect contemplating on physical interpretations for signal processing concepts. The challenges posed by biomedical signal processing enticed me to take up my dissertation on retinal image registration. The quest to realize signal processing algorithms in real-time made me understand the power of FPGA. During my graduate‚ I wish to enhance my knowledge in Image Processing and Biomedical Imaging and sharpen my skills in programming FPGA and embedded systems. This
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Signal Integrity Considerations for High Speed Digital Hardware Design White Paper Issue: 01‚ 11th November 2002 Mick Grant‚ Design Engineer Abstract As system clock frequencies and rise times increase‚ signal integrity design considerations are becoming ever more important. Unfortunately many Digital Designers may not recognise the importance of signal integrity issues and problems may not be identified until it is too late. This paper presents the most common design issues affecting signal
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2012 Design and development of a Virtual Instrument for Bio-signal Acquisition and Processing using LabVIEW Patterson Casmir D’Mello1‚ Sandra D’Souza2 Department of Instrumentation & Control Engineering‚ M.I.T‚ Manipal1‚2 Sandra.dsouza@manipal.edu ‚ pattersoncasmir@gmail.com 1 2 Abstract: The increased performance of personal computers and their reduced cost has made it possible for development of PC based signal processing systems.Hospitals need several measurement systems that can measure
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EE2 Signals and Linear Systems Pier Luigi Dragotti Electrical & Electronic Engineering Department Imperial College London URL: http://www.commsp.ee.ic.ac.uk/~pld/Teaching/ E-mail: p.dragotti@imperial.ac.uk PLD Autumn 2012 Thursday‚ 27 September 12 Signals and Linear Systems Lecture 1 Aims and Objectives “The concepts of signals and systems arise in a variety of fields and the techniques associated with these notions play a central role in many areas of science and technology
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of Mixed Signal Testing Course Information The Fundamentals of Mixed Signal Testing course is designed to provide the foundation of knowledge that is required for testing modern mixed signal devices using ATE equipment. Many engineers are intimidated when confronting mixed signal test for the first time. However‚ the percentage of VLSI and SOC devices containing analog functions‚ data converters‚ DSPs‚ and similar circuits continues to grow. No longer a specialty or niche‚ mixed signal technology
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Rev No. Randy Yates 27–Mar–2007 16:25 PA3 n/a 1 (13) Reference fir.tex Practical Considerations in Fixed-Point FIR Filter Implementations Randy Yates 27–Mar–2007 s signal processi ng systems http://www.digitalsignallabs.com A Typeset using LTEX 2ε Digital Signal Labs Public Information Technical Reference Practical Considerations in Fixed-Point FIR Filter Implementations s Author Date Time Rev No. Randy Yates 27–Mar–2007 16:25
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control logic is the circuitry generates the timing and control signals that sample the input waveform‚ and also creates a sinusoidal 1 kHz signal for use during the MODICOM 1 practical exercises. It is recommended that this signal is used for most of the experiments‚ as you will find that it is difficult to synchronize more than one oscilloscope trace when the input comes from an external source. Then third is the sampling circuit is the signal at the ANALOG INPUT socket is sampled at a rate‚ and for
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quantities in nature are analog signals. These quantities include: temperature‚ pressure and speed—to mention a few. Further‚ these quantities assume an infinite number of possible values other than 1’s and 0’s. Understandably‚ these analog quantities must be converted into binary strings‚ representative of their values. The process of conversion of analog signals into their equivalent digital form is termed analog-to-digital conversion. The reverse form of the process is digital-to-analog conversion. Often
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