Digital Signal Processing
Course Code: OUSEP
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Description and objective: This course will give you an understanding of the theory and application of DSP.
Introduction to Signal Processing (Advantages and disadvantages, Quantisation and sampling, Aliasing, Anti-aliasing and reconstruction filters)
Theoretical Foundations (Difference equations and z transforms, Finite and infinite impulse response filters, FIRs and IIRs, Poles, zeros and frequency response, Correlation)
Design of Digital Filters (FIRs and IIRs, Butterworth, Chebyshev and Elliptical filters, Linear-phase, windowing, bilinear transform & frequency warping, Direct synthesis by CAD, Hardware & software implementations, Wordlength, precision and stability)
Frequency Domain Processing (Continuous and discrete Fourier transforms, The fast Fourier transform (FFT), Applications, Convolution, Correlation)
DPS Hardware (A/Ds, D/As and over-sampling, Microprocessors, DSP processors, Fixed and floating point comparisons, Programming and debugging techniques)
ASIC Implementation (Technologies, Architectures for high performance, Pipelining and bit-slices, Carry-save and carry-look-ahead, Array multipliers)
Some Typical DSP Applications (Speech recognition, Control, Image recognition, Radar, Room response analysis, Demonstrations)
For full details see http://www.conted.ox.ac.uk/ousep/
Contact Oxford University Technology - Electronics, Telecoms and Engineering Programme
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