Local Mean Decomposition Source Code

Resource Overview

Local Mean Decomposition source code implementation in MATLAB - a valuable and rare signal processing program

Detailed Documentation

This is a highly valuable MATLAB program code implementing Local Mean Decomposition. Local Mean Decomposition is a widely used signal processing technique that decomposes signals into smooth approximation components and detailed components for effective noise reduction. The code implements a window-based approach where local means are calculated using sliding windows of specified sizes, followed by iterative smoothing operations to extract signal components. This implementation is particularly valuable as it provides a simple and efficient method to perform Local Mean Decomposition quickly. The algorithm employs key MATLAB functions for signal windowing, moving average calculations, and iterative refinement processes. If you're working on signal processing applications, this source code will be extremely useful for implementing robust denoising and signal analysis capabilities.