Digital Signal Processing Algorithms and Techniques
( 30 Modules )

Module #1
Introduction to Digital Signal Processing
Overview of DSP, importance, and applications

Module #2
Signal Fundamentals
Time and frequency domain, signal classification, and signal operations

Module #3
Discrete-Time Signals and Systems
Discrete-time signals, systems, and difference equations

Module #4
Fourier Transform and Series
DTFT, DFT, and FFT, properties, and applications

Module #5
Filtering Fundamentals
Types of filters, filter design, and filtering techniques

Module #6
FIR Filter Design
Window method, frequency sampling method, and optimal filter design

Module #7
IIR Filter Design
Analog filter approximation, digital filter structures, and stability analysis

Module #8
Filter Implementation and Analysis
Filter implementation, coefficient quantization, and finite wordlength effects

Module #9
Signal Enhancement and Restoration
Noise reduction, echo cancellation, and signal de-noising techniques

Module #10
Spectral Analysis and Estimation
Spectral density, periodogram, and parametric spectral estimation

Module #11
Time-Frequency Analysis
Short-time Fourier transform, continuous wavelet transform, and applications

Module #12
Digital Filtering of Images
Image filtering, image de-noising, and image sharpening techniques

Module #13
Multirate Signal Processing
Decimation, interpolation, and filter banks

Module #14
Adaptive Filtering
LMS, NLMS, and RLS algorithms, applications, and convergence analysis

Module #15
Subspace-Based Methods
MUSIC, ESPRIT, and subspace tracking algorithms

Module #16
Compressive Sensing
CS theory, CS algorithms, and applications in signal processing

Module #17
Machine Learning and Deep Learning in DSP
Introduction to ML and DL, applications in signal processing

Module #18
DSP in Real-World Applications
Case studies in speech, image, and biomedical signal processing

Module #19
DSP Hardware and Software
DSP processors, programming, and software tools

Module #20
Real-Time DSP Systems
Design and implementation of real-time DSP systems

Module #21
DSP in Communication Systems
Channel equalization, modulation, and demodulation techniques

Module #22
DSP in Radar and Sonar Systems
Signal processing techniques for radar and sonar applications

Module #23
DSP in Biomedical Signal Processing
Biomedical signal processing, ECG, EEG, and biomedical imaging

Module #24
DSP in Audio Signal Processing
Audio signal processing, music information retrieval, and audio effects

Module #25
DSP in Image and Video Processing
Image and video processing, computer vision, and multimedia applications

Module #26
DSP in Control Systems
Control systems, state-space modeling, and state estimation techniques

Module #27
DSP in Machine Learning and AI
Signal processing for machine learning, AI, and data science

Module #28
DSP for IoT and Edge Computing
DSP for IoT, edge computing, and real-time processing

Module #29
DSP for Cyber-Physical Systems
DSP for CPS, signal processing for security and safety

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Digital Signal Processing Algorithms and Techniques career

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Digital Signal Processing Algorithms and Techniques ( 30 Modules )

Digital Signal Processing Algorithms and Techniques
( 30 Modules )