Fractional Fourier Transform Implementation

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The Fractional Fourier Transform (FRFT) is a widely used method in signal processing and image analysis. It excels at processing nonlinear and non-stationary signals through its generalized Fourier analysis framework. When implementing FRFT in MATLAB, the algorithm typically involves constructing a transformation matrix based on fractional order parameters, where key functions may include angle parameter calculations and kernel matrix generation. The MATLAB code utilizes built-in functions like fft while incorporating custom fractional order computations to achieve optimal time-frequency resolution. These implementation codes can be downloaded from international technical repositories, providing additional resources such as preconfigured parameters, visualization examples, and performance benchmarking scripts.

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