Search results for "Fast Fourier transform" - Rhea

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• Fast Fourier transform ECE438F10
  0 B (0 words) - 12:26, 6 December 2010
• Fast Fourier Transform ECE438F12Ersoy
  3 KB (503 words) - 19:09, 7 November 2012

Page text matches

• CourseNotes16 (BoutinSpring2009)
  == 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) - 06:44, 16 September 2013
• ECE438 (BoutinFall2009)
  | [[student_summary_CT_DT_Fourier_transform_ECE438F09|CT and DT Fourier transform]] | [[student_summary_z_transform_ECE438F09|z-transform]]
  7 KB (1,067 words) - 12:05, 25 June 2010
• Midterm Exam Div 2 Fall 2006 Solution ECE301Fall2008mboutin
  ...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) - 03:48, 25 March 2011
• Sourabh Ranka: Sampling Theorem ECE301Fall2008mboutin
  ...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) - 08:00, 10 November 2008
• ECE662:Glossary Old Kiwi
  ...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 po
  31 KB (4,832 words) - 18:13, 22 October 2010
• Student summary sampling part1 ECE438F09
  ...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 convoluti
  8 KB (1,452 words) - 06:49, 16 September 2013
• GPS Signal Processing
  ...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 referen
  1 KB (248 words) - 11:07, 22 September 2009
• Speech Spectrogram
  ==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. Fo
  8 KB (1,268 words) - 07:16, 23 September 2009
• Student summary spectral analysis 2D signalsb
  [[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 w
  8 KB (1,397 words) - 11:23, 18 March 2013
• 2010 Fall ECE 438 Boutin
  **[[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) - 11:00, 22 December 2014
• Lecture18ECE438F10
  Recovering from the first midterm exam, we attacked the Fast Fourier Transform (FFT). More specifically, we illustrated how "decimating by a factor two" y
  632 B (85 words) - 04:36, 27 October 2010
• Decision Theory Glossary ECE662Spring2008
  ...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 po
  31 KB (4,787 words) - 18:21, 22 October 2010
• ECE301inBME
  ...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, synthe
  17 KB (2,368 words) - 10:53, 6 May 2012
• 2011 Fall ECE 438 Boutin
  **[[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) - 03:50, 31 August 2013
• Lecture18ECE438F11
  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) - 06:25, 11 September 2013
• Lecture21ECE438F11
  [[Category:discrete Fourier transform]] [[Category:Fast Fourier transform]]
  902 B (122 words) - 06:26, 11 September 2013
• MathWorksTest
  ...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) - 20:52, 15 October 2011
• Implementation of the Divide and Conquer DFT via Matrices
  [[Category:Fourier transform]] [[Category:discrete Fourier transform]]
  10 KB (1,717 words) - 12:02, 6 June 2014
• 2012 Fall ECE 438 Ersoy
  | [[Application Fourier transform ECE438F12Ersoy|Application of the Fourier transform]] | [[Application Z transform ECE438F12Ersoy|Application of the Z-transform]]
  2 KB (312 words) - 12:05, 19 November 2012
• ECE440 Lab1 Typed
  by digitizing the signal and using a digital Fast-Fourier Transform.
  14 KB (2,228 words) - 12:03, 15 January 2014