TEC-502 DIGITAL SIGNAL PROCESSING Books and References
TEC-502 DIGITAL SIGNAL PROCESSING
UNIT 1
DISCRETE FOURIER TRANSFORM: Frequency Domain Sampling: The Discrete Fourier Transform Frequency Domain Sampling and Reconstruction of Discrete-Time Signals. The Discrete Fourier Transform (DFT). The DFT as a linear Transformation. Relationship of the DFT to Other Transforms. Properties of the DFT: Periodicity, Linearity, and Symmetry Properties.
Multiplication of two DFTs and Circular Convolution. Additional DFT Properties. Frequency analysis of signals using the DFT. Introduction to MATLAB. (Coding of Implementation of LTI using DFT)
UNIT 2
EFFICIENT COMPUTATION OF DFT: Efficient Computation of the DFT: FFT Algorithms,DirectComputation of the DFT. Radix-2 FFT algorithms. Efficient computation of the DFT of two real sequences, computations, efficient computation of the DFT of 2N-Point real sequences.
(Coding of FFT algorithms)
UNIT3
FILTER STRUCTURES: Direct form (I & II), LATTICE for FIR & IIR Filters.
UNIT4
DESIGN OF DIGITAL IIR FILTERS: Impulse invariant and bilinear transformation techniques for
Butterworth and chebyshev filters; cascade and parallel. (Coding of Butterworth and chebyshev filters)
DESIGN OF FIR FILTERS:- windowing, optimum approximation of FIR filters, multistage approach to sampling rate concession. Design of Hilbert transforms. (Coding of windowing for FIR Filters)
UNIT5
ADAPTIVE WIENER FILTER AND LMS ALGORITHM: Application of adaptive filtering to echo
cancellation and equalization.
APPLICATION OF DSP AND CODING: Audio and Video coding, MPEG coding standardization,DCT, Walsh and Hardmard Coding.
SUGGESTED BOOKS:
1. Proakis, J.G. & Manolakis, D.G., “Digital Signal Processing: Principles Algorithms and Applications”, Prentice Hall (India).
2. Apte, “ Digital Signal Processing”, 2nd Edition, John Wiley (India),2009.
3. Rabiner, L.R. and Gold B., “Theory and applications of DSP”, PHI.
4. Thomas J, Cavichhhi, “Digital Signal Processing”, John Wiley & Sons
5. Roman KUC, Digital Signal Processing, BSP HYderabad
UNIT 1
DISCRETE FOURIER TRANSFORM: Frequency Domain Sampling: The Discrete Fourier Transform Frequency Domain Sampling and Reconstruction of Discrete-Time Signals. The Discrete Fourier Transform (DFT). The DFT as a linear Transformation. Relationship of the DFT to Other Transforms. Properties of the DFT: Periodicity, Linearity, and Symmetry Properties.
Multiplication of two DFTs and Circular Convolution. Additional DFT Properties. Frequency analysis of signals using the DFT. Introduction to MATLAB. (Coding of Implementation of LTI using DFT)
UNIT 2
EFFICIENT COMPUTATION OF DFT: Efficient Computation of the DFT: FFT Algorithms,DirectComputation of the DFT. Radix-2 FFT algorithms. Efficient computation of the DFT of two real sequences, computations, efficient computation of the DFT of 2N-Point real sequences.
(Coding of FFT algorithms)
UNIT3
FILTER STRUCTURES: Direct form (I & II), LATTICE for FIR & IIR Filters.
UNIT4
DESIGN OF DIGITAL IIR FILTERS: Impulse invariant and bilinear transformation techniques for
Butterworth and chebyshev filters; cascade and parallel. (Coding of Butterworth and chebyshev filters)
DESIGN OF FIR FILTERS:- windowing, optimum approximation of FIR filters, multistage approach to sampling rate concession. Design of Hilbert transforms. (Coding of windowing for FIR Filters)
UNIT5
ADAPTIVE WIENER FILTER AND LMS ALGORITHM: Application of adaptive filtering to echo
cancellation and equalization.
APPLICATION OF DSP AND CODING: Audio and Video coding, MPEG coding standardization,DCT, Walsh and Hardmard Coding.
SUGGESTED BOOKS:
1. Proakis, J.G. & Manolakis, D.G., “Digital Signal Processing: Principles Algorithms and Applications”, Prentice Hall (India).
2. Apte, “ Digital Signal Processing”, 2nd Edition, John Wiley (India),2009.
3. Rabiner, L.R. and Gold B., “Theory and applications of DSP”, PHI.
4. Thomas J, Cavichhhi, “Digital Signal Processing”, John Wiley & Sons
5. Roman KUC, Digital Signal Processing, BSP HYderabad
