Syllabus DSP - 8thSem BE Elective II n Core (E n In) JEC.docx

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8TH SEMESTER B.E ( E & IN )SYLLABUS FOR (ELECTIVE-II) DIGITAL SIGNAL PROCESSING (L-3 T-1 P-0)Theory : 100 Sessional : 50 (Mid sem -20, Attendance 20, Class & Home Assignment 10

1. Introduction: Introduction to signals, systems & signal processing; Classification of signals; Concept of frequency in continuous-time and discrete-time signals; Analog to digital and digital to analog converters from signal processing view point; Linear time-invariant systems.2. Z-Transforms: Definitions & properties; Inverse Z-transforms; Transfer functions; Unit sample response; Difference equations; Basic network structure for IIR & FIR systems.3. Discrete Fourier Transform (DFT): Fourier transform of discrete-time signals; Fourier series representationof discrete-time signal; Sampling theorem; Discrete Fourier transform and its properties; Filtering of long data sequences.4. Coputational Methods of DFT: Fast Fourier Transform (FFT); Decimation in time and decimation in frequency radix-2 FFT algorithms; In-place computations and bit-reversing rules; Parallel & pipeline processing of FFT radix-2 algorithms; Efficient computation of the DFT of two real sequences; Efficient computation of DFT of the DFT of a 2N-point real sequence.5. FIR Digital Filters: Properties , window, frequency sampling and computer aided design of filter design.6. IIR Digital Filters: Properties, impulse invariance and bilinear and matched Z-transform methods og filter design.7. Linear Prediction and Optimum Linear Filters: Representation of stationary random process; Relation power spectra; Relationship between the filter parameters and the Auto correlation sequence; Forward and backward linear prediction; Solution of normal equations by Levinson Durbin algorithm; Properties of Linear prediction error filter; AR lattice & ARMA lattice-ladder filters; FIR & IIR Wiener filters; Orthogonality principle in linear mean-square estimation; Non-casual Wiener filter.

REFERENCES:

1. DSP - Principles, Algorithms & Applications 4thEd J G Proakis n D G Manolakis ( PHI )2. Discrete Time Signal Processing A V Oppenheim, R W Schafer & J R Buck (PHI)3. Theory and Applications of Digital Signal Processing Lawrence R. Rabiner & Bernard Gold ( PHI )4. DSP - Funda n Appli 2008 Li Tan Elsevier Inc. Academic Press Design of filters