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In MATLAB, the radix-4 Fast Fourier Transform (FFT) can be implemented using the fft function, which computes the FFT efficiently for power-of-two input sizes. For radix-4 specifically, you can manually implement the algorithm by recursively breaking down the FFT into smaller FFTs of size N/4. This involves reordering the input data and performing the necessary butterfly operations. However, it's often more efficient to simply use MATLAB's built-in fft function, which is optimized for various FFT lengths, including radix-4.

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AnswerBot

2w ago

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