Discrete Time Signals

• Introduction
• Sinusoids
• Spectrum Representation
• Fourier Series--Part1
• Fourier Series--Part2
• Sampling--Part1
• Sampling--Part2
• FIR Filters--Part1
• FIR Filters--Part2
• Z-Transforms--Part1
• Z-Transforms--Part2
• FIR and z-Transforms
• IIR Filters
• IIR and Z-Transforms--Part1
• IIR and Z-Transforms--Part2
• Intro to Continuous Time Signals
• Continuous Time: Impulse Response
• Continuous Time: Fourier Transform

Note: Click on the links to download the notes.

Digital Signal Processing

• Introduction
• Discrete Fourier Transfrom--Part1
• Discrete Fourier Transfrom--Part2
• Discrete Fourier Transfrom--Part3
• FFT:Fast Fourier Transfrom
• Z-Transform
• Applications of Z-Transform--part1
• Applications of Z-Transform--part2
• Digital Filters
• Linear Phase FIR
• FIR Design Examples
• FIR Windowing Methods
• Optimum FIR Filters
• Special FIR Filters
• Analog Filters--Part1
• Analog Filters--Part2
• Analog Filters--Part3
• IIR Filters--Part1
• IIR Filters--Part2
• IIR Filters--Part3
• Summary of IIR Filters

Adaptive Filters

• Adaptive Filters-Introduction
• FIR Weiner Filters
• Linear Prediction
• Predictive Modeling of Speech
• Gradient Based Adaptive Filtering
• Least Mean Square Filtering
• Normalized LMS
• Singular Value Decomposition
• Recursive Least Squares
• Kalman Filtering

Neural Networks

• Neural Network Applications
• Neural Networks for Prediction
• NN Spectrum Estimation
• Hopfield Neural Networks
• Nonlinear Time Series Prediction

Filter Banks

• Time Frequency Representation
• Multi-rate Signal Processing
• Polyphase Representation
• Half Band Filters
• Reconstruction of Filter Banks
• Linear Phase Reconstruction