Signal processing
D B Keogh
4 points * 24 lectures, 9 tutorials, 9 laboratory hours * First semester * Clayton * Prerequisites: ECS3312, MAT3910
Objectives The student is expected to develop a knowledge and understanding of the fundamental principles of signal processing.
Synopsis Signal theory: moment expansions; differentiators, integrators and spectrum analysers; representation of bandpass signals; group delay and phase delay; matched filters and interpolation. Fourier analysis of discrete-time signals: periodic waveforms and Fourier series; the discrete-time Fourier transform; the discrete Fourier transform; the fast Fourier transform and its applications to signal processing. Specification of network functions: approximation of ideal amplitude characteristics; Butterworth and Chebyshev responses; highpass and bandpass transformation; ladder networks. Digital filters: design of FIR filters, windows and frequency sampling; design of IIR filters, impulse invariance and bilinear transformation; signal flow graph realisation; rate changing in digital filters.
Assessment Examination (2 hours): 100%
Recommended texts
Johnson J R Introduction to digital signal processing Prentice-Hall, 1989
Oppenheim A V (ed.) Applications of digital signal processing Prentice-Hall, 1978
Papoulis A Signal analysis McGraw-Hill, 1977
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