DSP intro - EEL 5525 Digital Signal Processing Introduction...

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Unformatted text preview: EEL 5525 Digital Signal Processing Introduction Dr. Liuqing Yang Department of ECE University of Florida http://www.yang.ece.ufl.edu 1 Dr. Liuqing Yang Outline • Roots of DSP • Definitions • DSP examples • DSP advantages • DSP limitations • DSP applications 2 © Dr. Liuqing Yang, University of Florida Dr. Liuqing Yang Roots of DSP (1) • Archimedes of Syracuse (~ 287-212 BC) – perimetroz (perimeter) of a circle with unit diameter. 3 © Dr. Liuqing Yang, University of Florida Dr. Liuqing Yang Roots of DSP (2) 4 © Dr. Liuqing Yang, University of Florida Dr. Liuqing Yang Roots of DSP (3) • Archimedes stopped with 96-sided polygons • Liu Hui (~ 220-280 AD) independently deduced 3.14159 using 3072-sided polygons • Tsu Chung-Chi (430-501) narrowed down the bounds to 3.1415926 < p <3.1415927 Andreas Antoniou “On the roots of digital signal processing. Part I,” IEEE Circuits and Systems Magazine, pp. 8 – 18, Vol. 7, No. 1, 2007. 5 © Dr. Liuqing Yang, University of Florida Dr. Liuqing Yang Definition: Signals (1) • Continuous-time (analog) signals: defined along a continuum of times. – Infinite resolution in time – Infinite resolution in amplitude 3 2 1 0 -1 -2 -3 -4 -50 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 6 © Dr. Liuqing Yang, University of Florida Dr. Liuqing Yang Definition: Signals (2) • Discrete-time signals: defined at discrete time instances. – Discrete resolution in time – Infinite resolution in amplitude 3 2 1 0 -1 -2 -3 -4 -5 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 7 © Dr. Liuqing Yang, University of Florida Dr. Liuqing Yang Definition: Signals (3) • Digital signals: both time and amplitude are discrete. – Discrete resolution in time – Discrete resolution in amplitude 3 2 1 0 -1 -2 -3 -4 -5 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 8 © Dr. Liuqing Yang, University of Florida Dr. Liuqing Yang Definition: Systems • Continuous-time (analog) systems: both the input and the output are continuous-time signals. • Discrete-time systems: both the input and the output are discrete-time signals. • Digital systems: both the input and the output are digital signals. 9 © Dr. Liuqing Yang, University of Florida Dr. Liuqing Yang DSP Examples • Signal processing systems: Analog signal Sampling Digital signal DSP Digital signal Reconstruction • Signal analysis systems: Analog signal Sampling Digital signal DSP Digital info. • Signal synthesis systems: Digital signal DSP Digital signal Reconstruction Analog signal • Purely digital systems: degeneration of the above. 10 © Dr. Liuqing Yang, University of Florida Dr. Liuqing Yang Why NOT Analog? • Analog signals – Electrical: • voltages, currents, electric fields, magnetic fields – Mechanical: • linear displacements, angles, velocities, angular velocities, forces, moments – Acoustic: • vibrations, sound waves – Physical: • pressures, temperatures, concentrations • Analog signal processing: – Converted to voltages/currents by sensors/transducers – Linear operations: amplification, filtering, integration, differentiation – Nonlinear operations: squaring, rectification 11 © Dr. Liuqing Yang, University of Florida Dr. Liuqing Yang Analog Processing Limitations • Accuracy: component tolerances, amplifier nonlinearity, biases, etc. • Repeatability: tolerances and variations resulting from environmental conditions, such as temperature, vibrations and mechanical shocks. • Sensitivity: electrical noise. • Limited dynamic range. • Lack of flexibility to specification changes in the processing functions. • Difficulty in implementing nonlinear and time-varying operations. • High cost and accuracy limitations of storage and retrieval of analog information. 12 © Dr. Liuqing Yang, University of Florida Dr. Liuqing Yang DSP Advantages • Flexibility: – re-configurable via programmable DSP • Accuracy: – conveniently controllable via word length, floating/fixed-point arithmetic • Storage: – cheap, versatile, portable media • Security: – can be encrypted, coded, compressed … 13 © Dr. Liuqing Yang, University of Florida Dr. Liuqing Yang DSP Limitations • Sampling can induce loss of information • High-speed high-accuracy ADC/DACs are difficult to implement and expensive 14 © Dr. Liuqing Yang, University of Florida Dr. Liuqing Yang DSP Applications • • • • • • • • • • • Biomedical applications Communications Digital control General signal analysis Image processing Instrumentation Multimedia Music applications Radar/Sonar Speech applications Telephony 15 © Dr. Liuqing Yang, University of Florida Dr. Liuqing Yang Assignments • Reading assignment: – Sections 1.1, 1.2, 4.1, 2.1, 1.3 16 © Dr. Liuqing Yang, University of Florida ...
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This note was uploaded on 09/17/2009 for the course EEL 5525 taught by Professor Yang during the Fall '09 term at University of Florida.

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