FFT Spectrum Refinement Algorithm with Customizable Precision (Minimum Frequency Resolution)
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Resource Overview
Detailed Documentation
The FFT-FT algorithm represents a spectrum refinement technique that allows users to define custom precision levels, specifically the minimum frequency resolution. This method enables more precise analysis of spectral data, leading to improved accuracy in frequency detection and measurement. By adjusting the precision parameter, users can achieve higher frequency resolution when detailed spectral analysis is required, making it adaptable to various application scenarios. The algorithm's flexibility and customization capabilities establish it as a valuable tool in spectral analysis applications. Implementation typically involves modifying FFT parameters and applying interpolation techniques to enhance frequency resolution beyond standard FFT limitations, with key functions handling precision adjustment and spectral data refinement.
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