
Developed FFT shift operations for the ml-explore/mlx repository, delivering both fftshift and ifftshift functions with axis specification and robust handling for even and odd-length spectra. The implementation focused on reliable spectral processing and improved visualization alignment, providing foundational support for downstream spectral algorithms. Comprehensive tests were created to validate correctness across different axes and length parities, ensuring dependable performance. Documentation was thoroughly updated with usage guidance and developer notes to assist future contributors. The work leveraged C++ and Python, applying skills in numerical computing and signal processing, and emphasized maintainability through clear traceability linked to the associated pull request.
April 2025: Delivered FFT Shift Operations to mlx (fftshift and ifftshift) with axis specification and robust handling for both even and odd-length spectra. Implemented core functionality, added comprehensive tests, and updated documentation to support reliable spectral processing, improved visualization alignment, and foundational support for downstream spectral algorithms.
April 2025: Delivered FFT Shift Operations to mlx (fftshift and ifftshift) with axis specification and robust handling for both even and odd-length spectra. Implemented core functionality, added comprehensive tests, and updated documentation to support reliable spectral processing, improved visualization alignment, and foundational support for downstream spectral algorithms.

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