ECG Signal Preprocessing - Filtering Techniques and Implementation
ECG signal preprocessing techniques including high-pass filters, low-pass filters, and 50Hz band-stop filters with code implementation approaches.
Comparison of FFT Algorithms and Low-Pass Filters in Noise Removal Applications
Comparative Analysis of FFT-Based Signal Processing and Low-Pass Filtering Techniques for Effective Noise Reduction
Image DCT High-Pass and Low-Pass Filter Implementation with Fourier Transform Comparison
Implementation of Discrete Cosine Transform (DCT) high-pass and low-pass filters for image processing, with comparison to Fourier Transform (FFT) filtering. Visual results demonstrate that DCT low-pass filtering produces significant blurring due to energy reduction from taking the real component of FFT. DCT high-pass filtering removes low-frequency components, resulting in darkened images with only edge traces visible. Code implementation includes frequency domain masking and coefficient thresholding techniques.
Implementation of Second-Order Gaussian Low-Pass Filter
This code implements a second-order Gaussian low-pass filter entirely using MATLAB programming language, featuring parameter configuration, kernel generation, and 2D convolution operations for image processing.
APF Simulation Model with Harmonic Detection, Suppression, and Low-Pass Filter Implementation
APF simulation model incorporating harmonic detection algorithms, harmonic suppression techniques, and low-pass filter design for power quality improvement
Speech Denoising Low-Pass Filter Using Hamming Window
A MATLAB-based speech denoising low-pass filter implementation using Hamming window design. The provided MATLAB code (self-developed, fully executable when copied to .m file) implements windowed FIR filter design with frequency response visualization and signal processing capabilities.
MATLAB Implementation of Low-Pass Filters
Implementation and algorithm explanation of low-pass filters using MATLAB for signal processing applications including audio processing, image filtering, and communication systems. The code demonstrates filter design, frequency response analysis, and practical implementation techniques.
Low-Pass Filter Implementation for Acceleration Data
A low-pass filter implementation for acceleration data using multi-step iterative filtering approach to reduce high-frequency noise and extract low-frequency components.
Filter Design for Noise Signal Removal
1. Generate a continuous signal containing low, medium, and high frequency components, perform sampling and spectral analysis. Design three types of filters (high-pass, low-pass, and band-pass) to process the signal and observe the spectrum of filtered signals. 2. Acquire a noisy speech signal (either by recording with background noise or adding noise to clean speech), perform sampling and spectral analysis, then design an appropriate filter to eliminate noise based on spectral characteristics.
MATLAB Image Processing Toolkit: Corner Detection, Edge Linking, and Filtering Techniques
A comprehensive MATLAB image processing toolkit featuring algorithms for corner detection, edge linking, high-pass filters, low-pass filters, and other essential operations with implementation details and practical applications.