Example of Wavelet Denoising: Decomposition and Reconstruction

MATLAB 13K 225 views 0 downloads 1 credits
Tags:

Resource Overview

This example demonstrates the decomposition and reconstruction process for wavelet denoising, including data files and code implementation details.

Detailed Documentation

This example demonstrates the decomposition and reconstruction process for wavelet denoising, accompanied by corresponding data files. Wavelet denoising is a signal processing technique that effectively removes noise from signals, thereby improving signal quality and clarity. Through wavelet transformation, signals can be decomposed into different frequency components. The implementation typically involves using functions like wavedec for decomposition, applying thresholding methods (such as soft or hard thresholding) to selectively filter noise components, and then reconstructing the processed signal using waverec. This example helps understand the principles and applications of wavelet denoising, providing practical data files for exercises and hands-on implementation.

You May Also Like