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Digital Signal Processing


  • Introduction
  • Applications of Digital Signal Porcessors
  • Advantages of DSP Over Analog Signal Porcessors
  • Discrete Time Signals - Sequences
  •       Examples of Sequences
  • Introduction of Systerms
  • Classification
  •       Static and Dynamic Systerms
          Causal and Non-Causal Systerms
          Problem
          Linear and Non-Linear Systerms
          Time in Variant and Time Varying Systerms
          Stable and Unstable Systerms
          Linear Shift-Invariant Systerms
  • Stability and Causality
  • Linear Constant-Coeffiaient Difference Epvations
  • Frequency-domain Representation of Discrete-Time Signal and Systerms
  • Applications of Z Transform
  •       Example
  • System function and Impulse Response
  • Stability and causality
  • Frequency Response
  •       Properties of Frequency Response
          Example

  • Introduction
  • Realization of IIR Systems
  • Direct form-1 Structure
  •       Limitations of Direct Form-1
  • Direct Form-2 Structure
  •       Limitations of Direct Form-2
  • Cascade form of Realization
  • Parallel form Of Realization
  • Example


  • DFS Representaction of Periodic Sequences
  • Exponential Form of DFS
  • Trignometric Form of DFS
  • Relationship Between Exponential and Trignometric Forms of DFS
  • Properties of DFS
  •       Linearity
          Time Shifting
          Symmetry Property
          Periodic Convolution
  • The Properties of DFS

  • Periodicity
  • Linearity
  • DFT of Even and Odd sequences
  • Time Reversal of the Sequences
  • Circular Frequency Shift
  • Complex Conjugate property
  • DFT of Delayed sequence
  • DFT of Real Valued Sequences
  • Moltiplication of Two Sequences
  • Circular Convolution of Two Sequences
  • Parsevals'Theorem
  • Circular Correlation
  • Properties of DFT
  • Linear Convolution Using DFT
  •       Example
  • Computation of DFT
  • Overlap-Add Method
  • Overlap-Save Method
  •       Example
  • Relation Between DFT and Z-transform
  • Comparison Between DTFT and DFT
  • Fast Fourier Transform
  • Decimation-in-Time(DIT) Radix-2 FFT
  • Decimation-in-Frequency(DIF) Radix-2 FFT
  • Comparison of DIT and DIF
  • Inverse FFT
  •       Example
  • FFT With General Radix-N
  • Radix-4 FFTS

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