Circular Convolution in DFT | Digital Signal Processing | SNS Institutions

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Circular convolution is a fundamental operation in Digital Signal Processing that describes the convolution of two finite-length discrete-time sequences. Unlike linear convolution, circular convolution is performed over a fixed length N, causing the signal samples to wrap around at the boundaries. Circular convolution plays a crucial role in the Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT) based signal processing. It is used in FFT-based filtering, Digital filter implementation, Signal processing in communication systems, Image processing, Overlap-Add and Overlap-Save methods and Real-time DSP systems.

Видео Circular Convolution in DFT | Digital Signal Processing | SNS Institutions канала Sathish Kumar R