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- == 1.6.4 FFT "Fast Fourier transform" == <p>An algorithm (family of algo) to compute the DFT <u>fast</u></p>2 KB (376 words) - 05:44, 16 September 2013
- | [[student_summary_CT_DT_Fourier_transform_ECE438F09|CT and DT Fourier transform]] | [[student_summary_z_transform_ECE438F09|z-transform]]7 KB (1,067 words) - 11:05, 25 June 2010
- ...he right way: taking the inverse Fourier transform, instead of the Fourier transform. The explanation is crystal clear and logical. No important step is missing ...on. The Transformed output is a imaginary and even signal,thus the Fourier transform is wrong.11 KB (1,951 words) - 02:48, 25 March 2011
- ...uously changing scene. These individual frames are moved at a sufficiently fast rate to perceive an accurate representation of the original continuously m ...inuous-time signal and X(j<math>\omega\,</math>) be the continuous Fourier transform of that signal. Then,1 KB (214 words) - 07:00, 10 November 2008
- ...aussian noise on both x and y. In some cases, PCA corresponds to a Fourier transform, such as the DCT used in JPEG image compression. ...r optimization problems into a form which can be efficiently solve using a fast algorithm: the simplex algorithm. As a result a slack variable is always po31 KB (4,832 words) - 17:13, 22 October 2010
- ...reak up the signal into a sum of sinusoids, the sampling frequency must be fast enough to properly sample the fastest sinusoid of which the signal is compo ...f x(t) with the frequency domain representation of p(t). Since the Fourier Transform of the comb is also an impulse train in the frequency domain, the convoluti8 KB (1,452 words) - 05:49, 16 September 2013
- ...d to improved signal processing and has led to the use of the Fast Fourier Transform. The Fast Fourier Transform (FFT) can be seen below as the correlation between the incoming and referen1 KB (248 words) - 10:07, 22 September 2009
- ==Fourier Analysis and the Speech Spectrogram== ...ency component's contribution to the original signal. Finally, the Fourier Transform is calculated to express these coefficients as a function of frequency. Fo8 KB (1,268 words) - 06:16, 23 September 2009
- [[Category:continuous-space Fourier transform]] ...not much different from the one-dimensional (1D) FFT <small>(Fast Fourier Transform - see [http://en.wikipedia.org/wiki/Fast_Fourier_transform])</small> that w8 KB (1,397 words) - 10:23, 18 March 2013
- **[[Practice_Question_2_ECE439F10|Practice Question 2 (on z-transform computation)]] **[[Practice_Question_3_ECE439F10|Practice Question 3 (on inverse z-transform computation)]]9 KB (1,221 words) - 10:00, 22 December 2014
- Recovering from the first midterm exam, we attacked the Fast Fourier Transform (FFT). More specifically, we illustrated how "decimating by a factor two" y632 B (85 words) - 03:36, 27 October 2010
- ...aussian noise on both x and y. In some cases, PCA corresponds to a Fourier transform, such as the DCT used in JPEG image compression. ...r optimization problems into a form which can be efficiently solve using a fast algorithm: the simplex algorithm. As a result a slack variable is always po31 KB (4,787 words) - 17:21, 22 October 2010
- ...stems (maybe even [[Fourier_Transform_Video |Fourier]]/Laplace/[[Compute z-transform u n ECE301S11|Z transforms]] from [[2011 Spring ECE 301 Boutin|ECE301]]!) a ...nications, and networking. Imaging techniques involving diffraction and/or Fourier analysis with application to tomography, magnetic resonance imaging, synthe17 KB (2,368 words) - 09:53, 6 May 2012
- **[[Practice_Question_2_ECE439F10|Practice Question 2 (on z-transform computation)]] **[[Practice_Question_3_ECE439F10|Practice Question 3 (on inverse z-transform computation)]]10 KB (1,359 words) - 02:50, 31 August 2013
- Today's lecture was about the Fast Fourier Transform (FFT). As a first step, we covered the "decimation by two" FFT algorithm. [[Category:discrete Fourier transform]]614 B (78 words) - 05:25, 11 September 2013
- [[Category:discrete Fourier transform]] [[Category:Fast Fourier transform]]902 B (122 words) - 05:26, 11 September 2013
- ...lp! We need a [[Discrete_Fourier_Transform_table|table of Discrete Fourier transform pairs and properties]]! **[[Practice_Question_2_ECE439F10|Practice Question 2 (on z-transform computation)]]9 KB (1,273 words) - 19:52, 15 October 2011
- [[Category:Fourier transform]] [[Category:discrete Fourier transform]]10 KB (1,717 words) - 11:02, 6 June 2014
- | [[Application Fourier transform ECE438F12Ersoy|Application of the Fourier transform]] | [[Application Z transform ECE438F12Ersoy|Application of the Z-transform]]2 KB (312 words) - 11:05, 19 November 2012
- by digitizing the signal and using a digital Fast-Fourier Transform.14 KB (2,228 words) - 11:03, 15 January 2014
- [[Category:discrete Fourier transform]] Today we began by summarizing the general procedure for computing a DFT fast using decimation. I hope everybody now understand how the various rows of t2 KB (294 words) - 04:58, 14 October 2013
- ...on assumes the user understands the basic concepts of the Discrete Fourier Transform. ...k = 0, 1, 2, ... N-1. Referring to our definition of the Discrete Fourier Transform above, to compute an N point DFT, all we need to do is simply repeat Eq. 1,9 KB (1,539 words) - 07:25, 28 October 2013
- The Fast Fourier Transform (FFT) algorithm enables the rapid demodulation of Binary Frequency Shift Ke ==2. Background (''Binary Frequency Shift Keying & Fast Fourier Transform'')==4 KB (546 words) - 18:34, 29 November 2015
- The Fast Fourier Transform (FFT) algorithm enables the rapid demodulation of Binary Frequency Shift Ke ==2. Background (''Binary Frequency Shift Keying & Fast Fourier Transform'')==3 KB (417 words) - 03:38, 29 November 2015
- ...Discrete Time Fourier Transform (DTFT). Unlike the Continuous Time Fourier Transform (CTFT), the DTFT of a signal is periodic with period <math>2\pi</math>. Alt For completeness, we'll include the inverse transform (IDTFT) as well:12 KB (2,004 words) - 19:37, 2 December 2015
- ...e, y-axis represents frequency and z-axis represents the FFT (fast fourier transform) at each short period of time. It tells us what is the overall distribution8 KB (1,120 words) - 23:27, 25 November 2016
- =Use of Fourier Transforms in MP3 Audio Compression= With MP3, the sound samples are transformed using methods that involve Fourier Series Transformations. A frequency analysis of the sound is the basis for5 KB (752 words) - 16:40, 2 December 2018
- ...ast Fourier Transform. The FFT is a faster version of the Discrete Fourier Transform (DFT). The time taken to evaluate a DFT on computer depends on number of mu http://www.cmlab.csie.ntu.edu.tw/cml/dsp/training/coding/transform/images/image41.gif3 KB (555 words) - 21:02, 2 December 2018
- Hello, and welcome to a tutorial on filtering and understanding sound using Fourier Transforms! While this tutorial will use Adobe Audition(TM), everything sho ...some exercises in '''ECE 301''', this tutorial will let you analyze visual Fourier Transforms, intelligently apply frequency filters, and gain a better unders6 KB (1,077 words) - 19:29, 7 April 2019
- ...aliasing'', which results when two distinct frequency bands overlap in the Fourier domain. In other words, aliasing occurs when the original signal’s freque ...seen after downsampling. The amplitude decrease is related to the Fourier transform formula.16 KB (2,611 words) - 13:11, 12 November 2019
