Comprehensive Collection of Spectral Analysis Methods

This repository consolidates various spectral analysis methodologies, including Fourier Transform, Wavelet Analysis, and Adaptive Filtering techniques. The MATLAB-based implementation features comprehensive code structures containing multiple algorithms with practical applications for efficient data processing and analysis. Each method's implementation includes detailed documentation covering comparative advantages, limitations, and optimal use-case scenarios. The code architecture demonstrates key functions such as FFT algorithms for frequency domain transformation, wavelet decomposition functions for multi-resolution analysis, and adaptive filter implementations for real-time signal processing. Supplementary references and technical literature are provided to facilitate deeper understanding and advanced application of these analytical approaches. The modular code design allows straightforward integration with existing data processing pipelines and customization for specific research requirements.