Jharkhand University of Technology, Jharkhand, Electronics and Communication engineering Semester 5, Digital Signal Processing Syllabus

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Unit - 1 Signals and systems

Unit 1

Signals and systems

1.1 Basic elements of DSP

1.2 Concepts of frequency in Analog and Digital Signals

1.3 Sampling Theorem

1.4 Discrete Time Signals

1.5 Systems analysis of discrete time LTI systems

1.6 Z transform

1.7 Convolution

1.8 Correlation

Unit - 2 Frequency transformations

Unit 2

Frequency transformations

2.1 Introduction to DFT

2.2 Properties of DFT

2.3 Circular convolution

2.4 Filtering methods based on DFT

2.5 FFT Algorithms

2.6 Decimation in time Algorithms Decimation in frequency Algorithms

2.7 Use of FFT in Linear Filtering

2.8 DCT

2.9 Use and Application of DCT

Unit - 3 IIR filter design

Unit 3

IIR filter design

3.1 Structures of IIR

3.2 Analog filter design

3.3 Discrete time IIR filter from analog filter

3.4 IIR Filter Design by Impulse Invariance

3.5 IIR Filter Design by the Bilinear Transformation

3.6 Approximation of derivatives LPF HPF BPF BRF filter design using frequency translation

Unit - 4 FIR filter design

Unit 4

FIR filter design

4.1 Structures of FIR

4.2 Linear phase FIR filter Fourier Series

4.3 Filter design using windowing techniques Rectangular Window Hamming Window Hanning Window

4.4 Frequency sampling techniques

Unit - 5 Finite word length effects in digital filters

Unit 5

Finite word length effects in digital filters

5.1 Binary fixed point and floating point number representations

5.2 Comparison

5.3 Quantization noise

5.4 Truncation

5.5 Rounding

5.6 Quantization noise power

5.7 Input quantization error

5.8 Coefficient quantization error

5.9 Limit cycle oscillationsdead band

5.10 Overflow errorsignal scaling

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Other Subjects of Semester-1
Digital communication
Microcontroller and embedded system
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