MATLAB Code Implementation of Spectrum Analysis Toolbox
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Resource Overview
Detailed Documentation
This spectrum analysis toolbox enables in-depth signal processing and analysis. The toolbox implements multiple core functions through MATLAB algorithms, including frequency peak identification using FFT-based methods with optional peak thresholding parameters, signal noise evaluation through power spectral density calculations, and comprehensive spectral feature extraction techniques. Users can leverage these functions to gain deeper insights into signal properties and extract meaningful information. The toolbox supports batch processing of multiple signals and provides customizable visualization graphs (such as spectrograms and power spectrum plots) to facilitate data interpretation. The implementation utilizes MATLAB's signal processing functions like fft, findpeaks, and pwelch for efficient computation. Suitable for both academic research and engineering applications, this spectrum analysis toolbox serves as a practical solution for signal processing tasks.
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