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

Lecture 35B: Principle of Duality, The Circular Convolution.

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

This tutorial explains how the simulations of the wave equation on this channel have been coded. After giving a derivation and ...

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 ...

Lecture 30A: Comparison of FIR And IIR Filter's.

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

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

Lecture 8D: Frequency response of an LSI system.

Keywords ### #Gaussiankernelbased #linearinterpolation #kernelbasedmethods #analyzingirregularly #irregularlysampled ...

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

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

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

This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Pearson_correlation_coefficient 00:01:34 1 Definition ...