Advanced Digital Signal Processing
( 24 Modules )

Module #1
Introduction to Advanced DSP
Overview of advanced DSP concepts, course objectives, and prerequisites

Module #2
Review of Fundamentals
Review of basic DSP concepts, including convolution, Fourier Transform, and filtering

Module #3
Signal Representations
Advanced signal representations, including wavelet analysis and sparse signal representations

Module #4
Time-Frequency Analysis
Introduction to time-frequency analysis, including Short-Time Fourier Transform and Continuous Wavelet Transform

Module #5
Wavelet Analysis
In-depth study of wavelet analysis, including multiresolution analysis and wavelet packets

Module #6
Filter Banks and Multirate Processing
Introduction to filter banks and multirate processing, including decimation and interpolation

Module #7
Subband Coding and Decomposition
Subband coding and decomposition, including filter bank structures and applications

Module #8
Adaptive Filtering
Introduction to adaptive filtering, including least mean squares and recursive least squares

Module #9
Kalman Filter
In-depth study of the Kalman filter, including state-space models and applications

Module #10
Blind Signal Separation
Introduction to blind signal separation, including independent component analysis and principal component analysis

Module #11
Compressed Sensing
Introduction to compressed sensing, including sparse signal recovery and applications

Module #12
Machine Learning for DSP
Introduction to machine learning for DSP, including neural networks and deep learning

Module #13
Feature Extraction and Classification
Feature extraction and classification techniques, including mel-frequency cepstral coefficients and Gaussian mixture models

Module #14
Audio Signal Processing
Audio signal processing techniques, including echo cancellation and noise reduction

Module #15
Image and Video Signal Processing
Image and video signal processing techniques, including image denoising and object recognition

Module #16
Biomedical Signal Processing
Biomedical signal processing techniques, including ECG signal processing and EEG signal processing

Module #17
Radar and Sonar Signal Processing
Radar and sonar signal processing techniques, including target detection and parameter estimation

Module #18
Channel Estimation and Equalization
Channel estimation and equalization techniques, including least squares and maximum likelihood estimation

Module #19
MIMO Signal Processing
MIMO signal processing techniques, including spatial multiplexing and beamforming

Module #20
Statistical Signal Processing
Statistical signal processing techniques, including hypothesis testing and confidence intervals

Module #21
Signal Processing for Communications
Signal processing techniques for communications, including channel coding and modulation

Module #22
Real-Time DSP Implementation
Real-time DSP implementation, including fixed-point and floating-point arithmetic

Module #23
DSP for Embedded Systems
DSP for embedded systems, including microcontrollers and digital signal processors

Module #24
Course Wrap-Up & Conclusion
Planning next steps in Advanced Digital Signal Processing career

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Advanced Digital Signal Processing ( 24 Modules )

Advanced Digital Signal Processing
( 24 Modules )