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KTU B.Tech S5 Lecture Notes Digital Signal Processing

KTU B.Tech S5 Lecture Notes Digital Signal Processing

 

MODULE I

  • The Discrete Fourier Transform: DFT as a linear transformation, Relationship of the DFT to other transforms, IDFT

  • Properties of DFT and examples Circular convolution Linear

    Filtering methods based on the DFT- linear convolution using circular convolution, overlap save and overlap add methods

  • Linear Filtering methods based on the DFT- linear convolution using circular convolution, overlap save and overlap add methods, Frequency Analysis of Signals using the DFT

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MODULE II

  • Computation of DFT: Radix-2 Decimation in Time and Decimation in Frequency FFT Algorithms, IDFT computation using Radix-2 FFT Algorithms

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  • Efficient computation of DFT of Two Real Sequences and a 2N-Point Real Sequence

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MODULE III

MODULE IV

MODULE V

MODULE VI

Multi-rate Digital Signal Processing: Decimation and Interpolation (Time domain and Frequency Domain Interpretation without proof)
Finite word length effects in DSP systems: Introduction (analysis not required), fixed-point and floating-point DSP arithmetic, ADC quantization noise Finite word length effects in IIR digital filters:coefficient quantization errors.

Multi-rate Digital Signal Processing: Decimation and Interpolation (Time domain and Frequency Domain Interpretation without proof)
Finite word length effects in DSP systems: Introduction (analysis not required), fixed-point and floating-point DSP arithmetic, ADC quantization noise Finite word length effects in IIR digital filters:
coefficient quantization errors

 

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