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WIZAPE
Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Digital Signal Processing in Telecommunications
( 25 Modules )

Module #1
Introduction to Digital Signal Processing
Overview of DSP, importance in telecommunications, and applications
Module #2
Discrete-Time Signals and Systems
Discrete-time signals, systems, and their properties
Module #3
Digital Signal Representation
Sampling, quantization, and coding of analog signals
Module #4
Fourier Analysis
Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT), and applications
Module #5
Filtering Fundamentals
Introduction to digital filters, filter types, and design techniques
Module #6
Finite Impulse Response (FIR) Filters
Design and implementation of FIR filters
Module #7
Infinite Impulse Response (IIR) Filters
Design and implementation of IIR filters
Module #8
Filter Design Techniques
Window method, frequency sampling method, and other filter design techniques
Module #9
Signal Spectral Analysis
Power spectral density, periodogram, and spectral estimation techniques
Module #10
Modulation and Demodulation
Analog and digital modulation techniques, demodulation, and applications
Module #11
Channel Equalization
Channel models, equalization techniques, and applications
Module #12
Error Detection and Correction
Error detection methods, block codes, and convolutional codes
Module #13
Digital Transmission Systems
Baseband transmission, bandpass transmission, and multiplexing techniques
Module #14
Source Coding and Compression
Lossless and lossy compression, Huffman coding, and Lempel-Ziv coding
Module #15
Image and Video Processing
Image and video compression, processing, and transmission
Module #16
Speech Processing and Recognition
Speech signal processing, feature extraction, and recognition techniques
Module #17
Digital Signal Processing in Wireless Communications
DSP applications in wireless communication systems, such as OFDM and CDMA
Module #18
DSP in Optical Communications
DSP applications in optical communication systems
Module #19
MATLAB and Python for DSP
Using MATLAB and Python for digital signal processing tasks and projects
Module #20
DSP Hardware and Implementations
DSP hardware architectures, FPGA, and ASIC implementations
Module #21
DSP in Multimedia Systems
DSP applications in multimedia systems, such as audio and video processing
Module #22
DSP in Biomedical Systems
DSP applications in biomedical systems, such as ECG and EEG signal processing
Module #23
DSP in Radar and Sonar Systems
DSP applications in radar and sonar systems
Module #24
DSP in Control Systems
DSP applications in control systems, such as PID control and state-space control
Module #25
Course Wrap-Up & Conclusion
Planning next steps in Digital Signal Processing in Telecommunications career


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