Digital Signal Processing
by shaf sahrani
1. 5. FIR Filter
1.1. Direct-form structure
1.2. cascade-form structure
1.3. Frequency-sampling structure
2. 6. IIR Filter
2.1. Direct-form structure
2.2. Cascade-form structure
2.3. Lattice structure
2.4. Transposed structure
3. 7. IIR Filter Design
3.1. Approximation of Derivatives
3.2. Impulse Invariance
3.3. Bilinear Transformation
4. 8. Multirate Signal Processing
4.1. Decimation
4.2. Interpolation
4.3. Oversampling
5. 9. Random Signal Processing
5.1. Power Density Spectrum
5.2. Rational Power Spectra
5.2.1. Decimation
6. 10. Probability & Power Spectra Density
6.1. Auto-Correlation
6.2. Cross-correlation
6.3. Properties of correlation
7. 1. Introduction to DSP
7.1. Type of signal
7.2. Analog to digital
7.3. Aliasing
7.4. DSP applications
8. 2. Discrete Fourier Transform
8.1. CFT to DFT
8.2. Argand Diagram
8.3. Matrix interpretation
8.4. Properties of DFT
9. 3. Fast Fourier Transform
9.1. DFT to FFT
9.2. Divide & Conquer algorithm
9.3. Radix-2 FFT
9.4. Radix-4 FFT
10. 4. Windows for Filtering
10.1. Type of Filter
10.2. Signal-to-noise ratio
10.3. Frequency sampling design method
10.4. Window design method
10.5. Spectral leakage
11. 11. Adaptive Filter
11.1. LMS Algorithm
11.2. RMS Algorithm