Frequency Refinement Analysis Algorithms
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Resource Overview
Two MATLAB-developed frequency refinement analysis algorithms suitable for various signal processing applications! The programs utilize simulated data - users with MATLAB proficiency can integrate actual signals for real-world analysis.
Detailed Documentation
In the following section, we present two MATLAB-implemented frequency refinement analysis algorithms designed for diverse signal processing applications. These algorithms feature enhanced spectral resolution capabilities through advanced zoom-FFT techniques and incorporate windowing functions for improved frequency localization. The current implementation uses simulated data for demonstration purposes. Users with MATLAB expertise should replace the simulated data with actual signals for practical analysis. Notably, these algorithms employ polyphase decomposition and chirp-Z transform methodologies to significantly improve analysis accuracy and computational efficiency, providing robust support for research and industrial applications. Key functions include adaptive frequency band selection and multi-resolution spectrum analysis for optimal performance across different signal characteristics.
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