Dsp (I)
- Discrete-Time Signals and Systems
1.System Properties: Linearity, Causality, Stability
2.LTI Systems, Their Properties, and Convolution Sum
3.Linear Constant Coefficient Difference Equations (LCCDE)
4.Frequency-Domain Representation of LTI Systems
5.Discrete-Time Fourier Transform (DTFT) and Its Theorems Properties
- Digital Filter Design
1.Design From Continuous Filters: Impulse Invariance and Bilinear Transformation
2.FIR Design by Windowing
3.Optimal Approximate FIR Design
- . Fourier Analysis of Signals using DFT
1.Frequency Analysis Using DFT
2.Short-Time Fourier-Transform (STFT): Smearing and Leakage Effects
- Structures for discrete-Time Systems:
1.Block-Diagram and Signal Flow Graphs for LTI Systems
2.IIR Systems: Direct, Cascade, Parallel, and Transposed forms
3.FIR Structures
4.Effects of Coefficient Quantization
- The Discrete Fourier Transform (DFT):
1.Discrete Fourier Series (DFS) and Its Properties
2.DTFT of Periodic Signals and Sampling of DTFT
3.DFT and Its Properties
4.Linear Convolution by DFT
- The Z-Transform and its properties
- Sampling and Reconstruction of Continuous-Time Signals
- Transform Analysis of LTI Systems:
1.The Frequency Response of LTI System
2.System Functions for LCCDE Forms
3.Minimum-Phase and All-Pass Systems
4.Linear-Phase and Generalized Linear-Phase (GLP) Systems