Lecture Details

Lecture 1: Signal Processing and its Applications
Lecture 2: Digital Signal Processing (DSP)
Lecture 3: Inverse Z Transform and Cauchy's Residue Theorem
Lecture 4: Convergence of Fourier Transform Linear Constant Coefficient Difference Equations Initial Rest Condition, Final Rest Condition.
Lecture 5: Different Realizations of L.C.C.D.E.
Lecture 6: Cascade Parallel Implementation Of IIR Filters With Rational Transfer Function
Lecture 7: Binary Representation of Numbers
Lecture 8: Effects Of Round Off Noise In Digital Filters
Lecture 9: Scaling In Fixed Point Implementations Of IIR System
Lecture 10: Round Off Noise Issues In Cascade Structure
Lecture 11: Discrete Fourier Series
Lecture 12: DFT, Discrete Fourier Transform
Lecture 13: Properties Of DFT
Lecture 14: Circular Convolution, Linear Convolution and DFT
Lecture 15: Overlap Save, FFT: Decimation In Time
Lecture 16: FFT, Decimation In Frequency
Lecture 17: DCT
Lecture 18:
Lecture 19: Changing The Sampling Rate Using Discrete-Time Processing
Lecture 20: Linear Phase Filtering
Lecture 21: What are the Conditions for Achieving Linear Phase?
Lecture 22: Design of FIR Filters by Windowing
Lecture 23: Optimal FIR Filter Design
Lecture 24: Algorithms for Optimal Filter Design
Lecture 25: Transmission Techniques for Designing IIR Filters
Lecture 26: IIR Filter Design Transformation