MATLAB Code Implementation for Signal Processing Operations
Signal reading, signal filtering, signal denoising, signal framing, and time difference calculation with MATLAB implementation approaches.
Wavelet Denoising Program with MATLAB Implementation
MATLAB code implementation of wavelet denoising principles using short waves for noise elimination, sharing fundamental concepts with Gaussian denoising. This program mathematically addresses function approximation problems by finding optimal mappings from signal space to wavelet function space. The implementation involves wavelet decomposition, thresholding techniques, and signal reconstruction algorithms to effectively separate noise from original signals while preserving critical features.
Design and Application of Digital Filters
Project: Design and Application of Digital Filters Design Requirements: Using MATLAB software with composite signal separation as an example, this project simulates three key processes from the "Digital Signal Processing" course: spectral analysis, digital filter design, and signal filtering. Implementation involves creating composite signals, designing elliptic IIR filters (low-pass, band-pass types), and analyzing separation/resynthesis results through frequency domain and time domain observations.
ECG Signal Processing with Multiple Filtering Techniques and Analysis
This program implements ECG signal processing using three filtering methods: adaptive filtering, smoothing filter, and wavelet filtering. It also includes R-peak detection and energy analysis functionality. The MATLAB-based solution features a comprehensive GUI interface for intuitive operation and visualization of signal processing results.
Designing IIR Filters Using the Bilinear Transform Method
Implementing IIR filter design through bilinear transformation with signal filtering applications and code implementation insights