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Convolution plays a pivotal role in signal processing, allowing us to extract valuable information and uncover hidden patterns in ...

Lecture 11B: Dual to convolution property.

Why do discrete time signals exhibit a repeating pattern in their frequency spectra? When we sample a signal, turning it into a ...

This video looks at the differences between the DFT (Discrete Fourier Transform) and the FT (Fourier Transform) and why the DFT ...

The #FFT is so efficient because it breaks the problem down into little bits and performs the same 2-point #DFT calculation on ...

Twiddle Factors play a crucial role in the Fast Fourier Transform (FFT) algorithm. They are the workhorses of the algorithm, acting ...

If you want to understand microscopy, you gotta understand the PSF. The PSF is the basis for many practical and theoretical ...

Twiddle Factors play a crucial role in the Fast Fourier Transform (FFT) algorithm by helping to combine and manipulate the ...

Signal Processing Algorithms and Architectures Course URL: https://swayam.gov.in/nd1_noc19_ee176/preview Prof. Dr Anirban ...

Keywords ### #3Dconvolution #convolutionalneuralnetworks #cropclassification #multitemporalremotesensingimages ...

Signal Processing Algorithms and Architectures Course URL: https://swayam.gov.in/nd1_noc19_ee176/preview Prof. Dr Anirban ...

Lecture 35A: Introductory Remarks of Discrete Fourier Transform and Frequency Domain Sampling.

Lecture 8D: Frequency response of an LSI system.

This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Paley%E2%80%93Wiener_theorem 00:00:32 1 ...

Lecture 6A: Characterization of LSI system using it's impulse response.

Lecture 16B: Solving Linear constant coefficient difference equations which are valid over a finite range of time.