Explore MATLAB source code curated for "DSP" with clean implementations, documentation, and examples.
1. Understand FIR filter principles and implementation approaches including filter design specifications and parameter selection. 2. Master MATLAB-based FIR filter design techniques using built-in functions like fir1() and firls(). 3. Learn DSP programming methodologies for FIR filter implementation with optimized algorithms and real-time processing considerations.
Implementation of a low-pass FIR filter using DSP and MATLAB, achieving effective signal filtering through systematic design parameters and algorithmic optimization
Simulation of digital circuits, communication principles, and DSP phenomena including rectifiers, filters, 2/4 decoders, 4-to-1 digital multiplexers, signal generators, 2FSK signal modulation/demodulation, filtering, spectral analysis, and various DSP filtering simulations. Features custom-written 2FSK modulation/demodulation MATLAB code with clear implementation and accompanying function libraries for educational purposes.
QPSK demodulation implementation, personally verified on DSP platform with full functionality and reliability
MATLAB programming implementation of the Time-Domain Pitch Synchronous Overlap and Add (TD-PSOLA) algorithm for speech signal processing in Digital Signal Processing applications, featuring code-level explanations of signal analysis and synthesis techniques.
MATLAB serves as a widely adopted scratchpad-style programming environment that can be easily mastered even by non-computer science majors. By leveraging MATLAB to establish communication with lower-level devices like microcontrollers and DSPs, users can efficiently implement control systems and data acquisition. MATLAB's powerful computational and processing capabilities then enable sophisticated post-processing operations, making it particularly advantageous for graduate students conducting thesis projects. The implementation involves using MATLAB for serial port communication control, where VC.m functions as the main interface file and other files serve as subroutines, providing practical assistance for embedded system development.
This program implements interface conversion between MATLAB and DSP hardware, enabling accelerated image processing operations through optimized DSP integration and real-time algorithm execution.
Implementing RS Encoder and Decoder on DSP Platform - Starting with MATLAB Simulation and Transitioning to Hardware Deployment
Implementation of video sequence object tracking using CNN and DSP with MATLAB simulation source code, featuring cellular neural networks for advanced image processing applications.
Using MATLAB to read grayscale image data and convert it to RAW format, serving as source data for DSP, microcontroller, or FPGA processing applications with code implementation details