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

Convolution and the Fourier Transform go hand in hand. The Fourier Transform uses convolution to convert a signal from the time ...

Today we discuss some powerful techniques for improving training and avoiding over-fitting: - *Dropout*: remove activations at ...

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

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

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

UPDATE: Martijn van Beurden, one of the two authors of the IETF FLAC spec, has left a comment with some corrections and ...

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

00:00 Introduction and survey 01:36 "Lesson 0" How to fast.ai 02:25 How to do a fastai lesson 04:28 How to not self-study 05:28 ...

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

Nonequilibrium Statistical Mechanics by Prof. V. Balakrishnan, Department of Physics, IIT Madras.For more details on NPTEL visit ...

Dynamic Data Assimilation: an introduction by Prof S. Lakshmivarahan,School of Computer Science,University of Oklahoma.

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

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