Syllabus

EC323 DIGITAL SIGNAL PROCESSING (L-3, T-1, P-2, CR-5)

Review of Digital Signals and Systems Motivation, signal processing operations, signal processing applications. the sampling process, Discrete correlation of signals, Random signals, Discrete time Fourier transform, Discrete Fourier Transform, Relationship between the DTFT and the DFT and their inverses, , Linear convolution using the DFT, Transform domain representation of random signals.
LTI Discrete time systems in Transform Domain Finite dimensional Discrete time systems, the frequency response, the transfer function, types of transfer functions, Simple digital filters, Allpass Transfer function, Minimum phase and maximum phase transfer functions, Complementary transfer functions, Inverse systems, Systems identification, Digital two pairs.
Digital filter structures Block diagram representation, equivalent structures, Basic FIR structures, Basic IIR structures, All pass filters, IIR tapped cascaded lattice structures, FIR cascaded lattice structures.
Digital Filter design IIR filter design – Bilinear transformation, Impulse invariant transformation, Lowpass IIR digital filters, Spectral transformations, FIR filter design using windowing techniques, Frequency sampling technique, Computer aided design.
DSP algorithm implementation Computation of DFT, FFT algorithms, Decimation in time, Decimation in Frequency, Different algorithms of FFT such as DIT and DIF where input and output is in order, radix-n algorithms, Radix - prime number algorithms
Introduction to Multirate Signal processing Speech, images, sampling rate alterations, introduction to sub-band coding.

Text/Reference Books:
S. K. Mitra, Digital signal processing- A computer based approach, Tata McGraw Hill, 2002
A. V. Oppenheim, R, W, Schafer, Discrete time signal processing, PHI
J. G. Proakis, D. G. Manolakis, Digital signal processing –Principles, algorithms and applications, PHI
A. V. Oppenheim, R. W. Schafer, Digital signal processing, PHI
E. C. Ifeachor, B. W. Jarvis, Digital signal processing- A practical approach, Pearson Education.

Experiments
Experiments may be set in MATLAB for demonstrating the basic concepts, Filter design and implementation, DFT, FFT and applications.