Bihar Engineering University, Bihar, Electrical & Electronics Engineering Semester 6, Digital Signal Processing Syllabus

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Unit - 1 Discrete time signals and systems

1.1 Discrete time signals and systems Sequences representation of signals on orthogonal basis

1.2 Representation of discrete systems using difference equations

1.3 Sampling and reconstruction of signals aliasing

1.4 Sampling theorem and Nyquist rate.

Unit - 2 Z-transform

2.1 zTransform

2.2 Region of Convergence

2.3 Analysis of Linear Shift Invariant systems using ztransform

2.4 Properties of ztransform for causal signals

2.5 Interpretation of stability in zdomain

2.6 Inverse ztransforms.

Unit - 3 Discrete Fourier Transform

3.1 Frequency Domain Analysis

3.2 Discrete Fourier Transform DFT

3.3 Properties of DFT

3.4 Convolution of signals

3.5 Fast Fourier Transform Algorithm

3.6 Parseval’s Identity

3.7 Implementation of Discrete Time Systems.

Unit - 4 Design of Digital Filters

4.1 Design of FIR Digital filters Window method ParkMcClellans method.

4.2 Design of IIR Digital Filters Butterworth Chebyshev and Elliptic Approximations Lowpass Bandpass Bandstop and Highpass filters.

4.3 Effect of finite register length in FIR filter design

4.4 Parametric and nonparametric spectral estimation

4.5 Introduction to multirate signal processing.

Unit - 5 Applications of Digital Signal Processing

5.1 Correlation Functions and Power Spectra

5.2 Stationary Processes

5.3 Optimal filtering using ARMA Model

5.4 Linear MeanSquare Estimation Wiener Filter.

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Speech and audio processing
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