Discrete Time Signals
Sinusoids, Fourier series, sampling, FIR/IIR filters, Z-transforms
P1Introduction
P2Sinusoids
P3Spectrum Representation
P4Fourier Series — Part 1
P5Fourier Series — Part 2
P6Sampling — Part 1
P7Sampling — Part 2
P8FIR Filters — Part 1
P9FIR Filters — Part 2
P10Z-Transforms — Part 1
P11Z-Transforms — Part 2
P12FIR and Z-Transforms
P13IIR Filters
P14IIR and Z-Transforms — Part 1
P15IIR and Z-Transforms — Part 2
P16Intro to Continuous Time Signals
P17Continuous Time: Impulse Response
P18Continuous Time: Fourier Transform
Digital Signal Processing
DFT, FFT, Z-transform applications, FIR/IIR filter design, analog filters
P1Introduction
P2Discrete Fourier Transform — Part 1
P3Discrete Fourier Transform — Part 2
P4Discrete Fourier Transform — Part 3
P5FFT: Fast Fourier Transform
P6Z-Transform
P7Applications of Z-Transform — Part 1
P8Applications of Z-Transform — Part 2
P9Digital Filters
P10Linear Phase FIR
P11FIR Design Examples
P12FIR Windowing Methods
P13Optimum FIR Filters
P14Special FIR Filters
P15Analog Filters — Part 1
P16Analog Filters — Part 2
P17Analog Filters — Part 3
P18IIR Filters — Part 1
P19IIR Filters — Part 2
P20IIR Filters — Part 3
P21Summary of IIR Filters
Adaptive Filters
Wiener filters, LMS, RLS, Kalman filtering, SVD
Neural Networks
Applications, prediction, spectrum estimation, Hopfield networks
Filter Banks
Time-frequency analysis, multi-rate processing, polyphase, reconstruction