Pre-requisites: Signals & Systems
COURSE OBJECTIVES:
To introduce concepts of digital filter design and spectrum analysis.
ESSENTIAL TOPICS TO BE COVERED:
- Convolution and frequency response
- Sampling
- Fast Fourier Transform
- Z-transforms
- Digital filters, FIR, IIR
- Industrial Applications
COURSE DESCRIPTION:
Applications of DSP, digital signals, systems and convolution. Flip and Slide Convolution & Frequency Response, Fourier transform and frequency response, discrete time Fourier transform, symmetry properties, sampling theorem & D/A reconstruction, DFT and FFT algorithms, DFT properties & Circular Convolution (spectrum analysis & windowing), FFT algorithms and high speed (block) convolution, Z-transform and its properties with inverse, FIR and IIR filters and their implementations, FIR filter design methods, IIR filter design methods, resolution & side lobes, spectrum analysis, power spectrum for random signals, porting of DSP algorithms on embedded systems especially on DSP chips including fixed point programming.
Recommended Text(s):
- Digital Signal Processing by J. P. Proakis and D. G. Manolakis. 4th Edition, Prentice Hall.
- Digital Signal Processing: A Practical Approach by Emanual C.Ifeachor 2nd edition. Prentice Hall.
