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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

Design of FIR Filters- Symmetric and Anti-symmetric FIR Filters, Design of linear phase FIR Filters using Window methods (rectangular, Hamming and Hanning) and frequency sampling Method. Comparison of Design Methods for Linear Phase FIR Filters

MODULE IV
Design of IIR Digital Filters from Analog Filters (Butterworth)IIR Filter Design by Impulse Invariance, and Bilinear Transformation Frequency Transformations in the Analog and Digital
Domain.
MODULE V
Block diagram and signal flow graph representations of filters, FIR Filter Structures: (Linear structures), Direct Form, Cascade Form and Lattice Structure IIR Filter Structures: Direct Form, Transposed Form, Cascade Form and Parallel Form Computational Complexity of Digital filter structures Computer architecture for signal processing : Introduction to TMS320C67xx digital signal processor
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 errorsMulti-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

 

 MODULE III, IV, V, VI notes will be added shortly…

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