Rashtrasant Tukadoji Maharaj Nagpur University, Maharashtra, Electronics and Communication engineering Semester 6, Digital Signal processing Syllabus

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Unit - 1 Introduction

Unit 1

Introduction

1.1 Basic elements of DSP and its requirement

1.2 Advantages of Digital over Analog signal processing

1.3 Sampling theorem

1.4 Sampling process and reconstruction of sampling data

1.5 Discrete time signals systems Discrete time signals systems Classification of discrete time signals and systems

1.6 LTI systems

1.7 Linear convolution

1.8 Cross Correlation

1.9 Autocorrelation

Unit - 2 Z- Transforms

Unit 2

Z Transforms

2.1 The Ztransform Definition

2.2 Properties of the region of convergence for the Ztransform

2.3 Ztransform properties

2.4 Inverse Ztransform

2.5 Parseval’s theorem

2.6 Unilateral Ztransform

Unit 2

Z Transforms

2.1 The Ztransform Definition

2.2 Properties of the region of convergence for the Ztransform

2.3 Ztransform properties

2.4 Inverse Ztransform

2.5 Parseval’s theorem

2.6 Unilateral Ztransform

Unit - 3 Discrete And Fast Fourier Transforms

Unit 3

Discrete and Fast Fourier Transforms

3.1 Definition and properties of DFT

3.2 IDFT

3.3 Relation between DFT and Z–Transform

3.4 Radix 2 FFT algorithms

3.5 Linear filtering methods based on DFT

3.6 Circular convolution

3.7 Gortzel algorithm

Unit 3

Discrete and Fast Fourier Transforms

3.1 Definition and properties of DFT

3.2 IDFT

3.3 Relation between DFT and Z–Transform

3.4 Radix 2 FFT algorithms

3.5 Linear filtering methods based on DFT

3.6 Circular convolution

3.7 Gortzel algorithm

Unit - 4 IIR Filter Design & Realization

Unit 4

IIR Filter Design Realization

4.1 Filter design methods – Approximation of derivatives

4.2 Impulse invariance

4.3 Bilinear transformation

4.4 Characteristics designing of Butterworth

4.5 Chebyshev filters

4.6 IIR filter structures Direct form III

4.7 Transpose form

4.8 Cascade form

4.9 Parallel form

4.10 Lattice and Latticeladder structures

Unit 4

IIR Filter Design Realization

4.1 Filter design methods – Approximation of derivatives

4.2 Impulse invariance

4.3 Bilinear transformation

4.4 Characteristics designing of Butterworth

4.5 Chebyshev filters

4.6 IIR filter structures Direct form III

4.7 Transpose form

4.8 Cascade form

4.9 Parallel form

4.10 Lattice and Latticeladder structures

Unit 4

IIR Filter Design Realization

4.1 Filter design methods – Approximation of derivatives

4.2 Impulse invariance

4.3 Bilinear transformation

4.4 Characteristics designing of Butterworth

4.5 Chebyshev filters

4.6 IIR filter structures Direct form III

4.7 Transpose form

4.8 Cascade form

4.9 Parallel form

4.10 Lattice and Latticeladder structures

Unit - 5 FIR Filter Design & Realization

Unit 5

FIR Filter Design Realization

5.1 Symmetric and antisymmetric FIR filters

5.2 Linear phase FIR filter

5.3 Design of FIR filters using windows Rectangular Bartlett Hanning Hamming Blackman

5.4 Frequency sampling method

5.5 FIR differentiators

5.6 FIR filter structures

Unit 5

FIR Filter Design Realization

5.1 Symmetric and antisymmetric FIR filters

5.2 Linear phase FIR filter

5.3 Design of FIR filters using windows Rectangular Bartlett Hanning Hamming Blackman

5.4 Frequency sampling method

5.5 FIR differentiators

5.6 FIR filter structures

Unit 5

FIR Filter Design Realization

5.1 Symmetric and antisymmetric FIR filters

5.2 Linear phase FIR filter

5.3 Design of FIR filters using windows Rectangular Bartlett Hanning Hamming Blackman

5.4 Frequency sampling method

5.5 FIR differentiators

5.6 FIR filter structures

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Other Subjects of Semester-2
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