149 Everyone discusses the Fourier transform when discussing signal processing. Why is it so important to signal processing and what does it tell us about the signal? Does it only apply to digital signal …

2 I’ve been reading up on approaches to pitch shifting, and have found some common approaches use fourier transforms to achieve a change of pitch. I’m curious, is fourier transform technology used in …

Dec 13, 2022 · Fourier transform can be used to analyze the frequency domain of a specific period of signal. However, I saw many of these transforms in textbooks are based on entire signal sequences, …

Dec 16, 2024 · For digital signals, the fourier transform is taken along the unit circle of the Z-transform. The equivalent to the Z-transform in continuous signals is the Laplace transform, but in that case the …

Apr 16, 2020 · Suppose we sample a continuous time signal with sampling period Ts = 1/2000, and then use a window of length 1000 on the resulting discrete time signal. If we transform it using a 2000 …

Oct 17, 2011 · The Fourier Transform uses a complex exponential as its basis function and applied to a single real-valued sine wave happens to produces a two valued results which is interpreted as …

7 There can be different reasons for this depending on any processes carried out before and after the Fourier transform. The most common reason is to achieve greater frequency resolution in any …

Feb 25, 2013 · But more importantly, even when the Fourier transform is not used directly, it provides a very useful framework for reasoning about the image processing operations. Steve Eddins, one of …

22 I am currently toying around with the Discrete Fourier Transform (DFT) in Matlab to extract features from images. I like to fully understand the concepts that I use. I have read several explanations, such …

May 24, 2020 · When I look for the cause of the mirroring of frequencies in DFT output, I get two types of explanations: The first one which says the frequencies are mirrored because of the complex …