Signal Processing for Communications
( 25 Modules )

Module #1
Introduction to Signal Processing
Overview of signal processing, importance in communications, and course objectives

Module #2
Signals and Systems
Basic concepts of signals and systems, types of signals, and system properties

Module #3
Fourier Analysis
Introduction to Fourier series and transform, properties, and applications

Module #4
Filtering and Frequency Domain Analysis
Filtering techniques, frequency domain analysis, and filter design

Module #5
Time-Domain Analysis
Time-domain analysis, impulse response, and convolution

Module #6
Sampling and Reconstruction
Sampling theorem, sampling and reconstruction techniques, and applications

Module #7
Quantization and Coding
Quantization techniques, coding schemes, and error correction

Module #8
Modulation and Demodulation
Introduction to modulation and demodulation, types of modulation, and applications

Module #9
Amplitude Shift Keying (ASK)
Principles and implementation of ASK modulation and demodulation

Module #10
Frequency Shift Keying (FSK)
Principles and implementation of FSK modulation and demodulation

Module #11
Phase Shift Keying (PSK)
Principles and implementation of PSK modulation and demodulation

Module #12
Quadrature Amplitude Modulation (QAM)
Principles and implementation of QAM modulation and demodulation

Module #13
Channel Characterization and Modeling
Channel models, noise, and interference in communication systems

Module #14
Channel Estimation and Equalization
Channel estimation and equalization techniques, and applications

Module #15
Error Correction Coding
Introduction to error correction coding, block codes, and convolutional codes

Module #16
Digital Signal Processing
Introduction to digital signal processing, discrete-time systems, and algorithms

Module #17
Adaptive Filtering
Introduction to adaptive filtering, algorithms, and applications

Module #18
Speech Signal Processing
Introduction to speech signal processing, speech coding, and recognition

Module #19
Image Signal Processing
Introduction to image signal processing, image compression, and recognition

Module #20
Biosignal Processing
Introduction to biosignal processing, ECG, EEG, and biomedical applications

Module #21
Multirate Signal Processing
Introduction to multirate signal processing, decimation, and interpolation

Module #22
Filter Banks and Wavelets
Introduction to filter banks, wavelets, and applications in signal processing

Module #23
Compressive Sensing
Introduction to compressive sensing, principles, and applications

Module #24
Deep Learning for Signal Processing
Introduction to deep learning, neural networks, and applications in signal processing

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Signal Processing for Communications career

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Signal Processing for Communications ( 25 Modules )

Signal Processing for Communications
( 25 Modules )