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

Real-Time Signal Processing Systems
( 25 Modules )

Module #1
Introduction to Real-Time Signal Processing
Overview of real-time signal processing, applications, and importance
Module #2
Fundamentals of Signal Processing
Review of signal processing concepts:signals, systems, filtering, and transforms
Module #3
Real-Time Systems Overview
Introduction to real-time systems, types, and characteristics
Module #4
Hardware Platforms for Real-Time Signal Processing
Overview of hardware platforms:DSPs, FPGAs, GPUs, and ASICs
Module #5
Software Platforms for Real-Time Signal Processing
Overview of software platforms:RTOS, Linux, and Windows
Module #6
Signal Acquisition and Conditioning
Analog-to-digital conversion, sampling, and signal conditioning techniques
Module #7
Digital Signal Processing Fundamentals
Discrete-time signals, difference equations, and digital filtering
Module #8
Digital Filter Design
Design of FIR and IIR filters, filter structures, and implementation
Module #9
Fast Fourier Transform (FFT) and Its Applications
FFT algorithm, complexity, and applications in real-time signal processing
Module #10
Real-Time Signal Processing Algorithms
Overview of real-time signal processing algorithms:filtering, convolution, and feature extraction
Module #11
Adaptive Filtering and Machine Learning
Introduction to adaptive filtering, machine learning, and neural networks in real-time signal processing
Module #12
Real-Time Signal Processing Systems Design
Design considerations for real-time signal processing systems:latency, throughput, and power consumption
Module #13
System-Level Design and Implementation
System-level design, prototyping, and implementation of real-time signal processing systems
Module #14
Performance Optimization and Profiling
Techniques for optimizing and profiling real-time signal processing systems
Module #15
Error Handling and Fault Tolerance
Error handling and fault tolerance techniques in real-time signal processing systems
Module #16
Real-Time Operating Systems for Signal Processing
Overview of real-time operating systems, scheduling, and synchronization
Module #17
Case Study:Real-Time Speech Processing
Real-time speech processing:echo cancellation, noise reduction, and speech recognition
Module #18
Case Study:Real-Time Image Processing
Real-time image processing:image filtering, object recognition, and computer vision
Module #19
Case Study:Real-Time Radar Signal Processing
Real-time radar signal processing:target detection, tracking, and classification
Module #20
Security and Safety in Real-Time Signal Processing
Security and safety considerations in real-time signal processing systems
Module #21
Testing and Validation of Real-Time Signal Processing Systems
Testing and validation methodologies for real-time signal processing systems
Module #22
Real-Time Signal Processing in Emerging Applications
Real-time signal processing in emerging applications:IoT, autonomous vehicles, and healthcare
Module #23
Designing for Low Power Consumption
Techniques for designing low-power real-time signal processing systems
Module #24
Advanced Topics in Real-Time Signal Processing
Advanced topics:compressive sensing, machine learning on edge devices, and Explainable AI
Module #25
Course Wrap-Up & Conclusion
Planning next steps in Real-Time Signal Processing Systems career


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