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

  • 20July
  • 2015
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    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)

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    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


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