Course No.: EE 411
Course Title: Digital Signal Processing
Offerings (Internal Site for Students Enrolled in the Course) : Semester 1 (2016-17)
Credits: L-T-P-C: 3-1-0-4
Prerequisites: ES 231 Signals and Systems or equivalent
Course contents:
Introduction to discrete-time signals and systems; linear time invariant (LTI) systems and properties, linear phase systems; brief review of Fourier representations; sampling and reconstruction of continuous-time signals; the z-transform, properties and applications to LTI systems; the discrete Fourier transform (DFT), properties, efficient DFT computation by FFT, effects of finite word length; linear and circular convolutions, block convolutions for long sequences; Signal analysis by DFT, spectral analysis by periodogram and autocorrelation estimates; brief review of analog filter design; IIR filters, stability, design by impulse invariance, bilinear transformations, frequency transformations of low pass IIR filters; FIR filter design by windowing method and Parks-McClellan algorithm, finite precision numerical effects; decimation and interpolation of signals, quadrature mirror filters and perfect reconstruction, subband decomposition; introduction to discrete wavelet transforms.
Textbooks/References: