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CS2403 Digital Signal Processing Hand Written Lecture Notes- Venkat Raman Edition

Digital Signal Processing Premium Lecture Notes, Prepared by Venkat raman. Specially for Computer Science Engineering . Syllabus Covered based on Anna University B.E Computer Science Engineering (Regulation 2008)

Content:

UNIT-1 SIGNAL AND SYSTEM (Pages:68)
UNIT-2 FREQUENCY TRANSFORMATION (Pages:34)
UNIT-3 IIR FILTER DESIGN (Pages:55)
UNIT-4 FIR FILTER DESIGN (Pages:164)

UNIT-1
SIGNAL AND SYSTEM
Sampling theorem
Sampling rate
Z-transform
1. Time reversal property
2. Scaling property
3. Differentiate property
4. Convolution property
5. Parseval’s tteorem
6. Initial value theorem
7. Final value theorem
Linearity property
Time shifting property
Time reversal property
Scaling property
Differential property
Convolution property
Classification of system problem

UNIT-2
FREQUENCY TRANSFORMATION
DIT and FFT algorithm
Properties of DFT
1. Linearity
2. Periodicity
3. Circular time shift
4. Time reversal
5. Conjugation
6. Circular frequency shift
7. Multiplication
8. Circular convolution
9. Circular correlation
10. Parseval’s relation
8 point DFT using radix 2 DIT in FFT
Digital and analog filter

UNIT-3
IIR FILTER DESIGN
Realization
Chebsyshev filter
Impulse transformation
Specification of the digital filter
Impulse invariant
Buttreworth filter
Converting analog filter system transfer function

UNIT-4
FIR FILTER DESIGN
Window techniques
Rectangular window
Hanning window
Blackman window
Hamming window
Low pass filter
Different sum
Step in unit impulse
Linear phase FIR system
1. Symmetric
2. Asymmentric
Finite word length
Finite precision
Error due to quantization of input data
Product quantization error
Limit cycle
Topic structure