MATLAB Code Implementation for Frequency Estimation Function

This article presents a MATLAB-implemented frequency estimation function based on a set of sophisticated algorithms designed for signal processing and frequency determination. MATLAB serves as a powerful computational platform extensively used in digital signal processing, data analysis, and scientific computing applications. The implementation leverages MATLAB's built-in functions and custom algorithms to process signals accurately, enabling improved signal interpretation and analytical outcomes. The following code demonstration illustrates the practical implementation of frequency estimation techniques in MATLAB, including key functions such as FFT (Fast Fourier Transform) analysis, peak detection algorithms, and spectral estimation methods. This approach facilitates precise frequency component identification through waveform analysis and spectral processing. The article aims to provide comprehensive insights into both the implementation methodology and practical applications of frequency estimation functions for enhanced signal processing workflows.