Digital Signal Processing Syllabus
Discrete – Time Signals and Systems:
Discrete – Time Signals – Sequences, Linear Shift – Invariant Systems, Stability and Casuality, Linear Constants – Coefficient Difference Equations, Frequency Domain Representation of Discrete – Time Signals and Systems.
Applications of Z – Transforms:
System Functions H(z) of Digital Systems, Stability Analysis, Structure and Realization of Digital Filters, Finite Word Length Effects.
Discrete Fourier Transform (DFT):
Properties of the DFS, DFS Representation of Periodic Sequences, Properties of DFT, Convolution of Sequences.
Fast – Fourier Transforms (FFT):
Radix – 2 Decimation – In – Time (DIT) and Decimation – In – Frequency (DIF), FFT Algorithms, Inverse FFT.
IIR Digital Filter Design Techniques:
Design of IIR Filters from Analog Filters, Analog Filters Approximations (Butterworth and Chebyshev Approximations), Frequency Transformations, General Considerations in Digital Filter Design, Bilinear Transformation Method, Step and Impulse Invariance Technique.
Design of FIR Filters:
Fourier Series Method, Window Function Techniques, Comparison of IIR and FIR Filters.
Applications of FFT in Spectrum Analysis and Filtering, Application of DSP in Speech Processing.
Alan V. Oppenheim and Ronald W. Schafer: Digital Signal Processing, PHI.
Sanjit K. Mitra, Digital Signal Processing “A – Computer Based Approach”, Tata Mc Graw Hill.
Raddar and Rabiner, Application of Digital Signal Processing.
S. P. Eugene Xavier, Signals, Systems and Signal Processing, S. Chand and Co. Ltd.
Antonio, Analysis and Design of Digital Filters, Tata Mc Graw Hill.