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- If we imagine that our slit aperture can be thought of as a spatial filter that only passes light through the slit and blocks light everywhere else, t2 KB (286 words) - 10:19, 23 September 2009
- *To filter this out, we can apply a low-pass filter with a cutoff frequency of around 2000 Hz. *So adding a high pass filter should remove the bear's voice completely.5 KB (822 words) - 11:54, 21 September 2012
- Two basic filters used are 1> '''Average Filter''' == '''Average Filter''' ==3 KB (426 words) - 06:03, 14 October 2009
- title('Image using Average Filter');782 B (107 words) - 06:01, 14 October 2009
- title('Image using Average Filter');787 B (108 words) - 06:06, 14 October 2009
- ...er:mboutin|Prof. Boutin]]: graph of the magnitude of the DFT of a windowed filter= Consider the ideal low-pass filter1 KB (212 words) - 11:50, 24 October 2011
- The end result after modeling is a transfer function that is an all-pole filter with a gain and a time delay. As noted above, the transfer function is usually an all-pole filter. We can observe what the resonances, or formants, are just by looking at t5 KB (841 words) - 15:26, 10 April 2013
- periodic filter phoneme - Generally, the vocal tract transfer function is an all-pole filter2 KB (390 words) - 07:46, 14 November 2011
- ...the series for tons of translations and dilations, uses a faster approach: filter banks. ==Multi-Resoltion Analysis using Filter Banks==10 KB (1,646 words) - 11:26, 18 March 2013
- The following pictures show the original image (Lena), the image of the filter, and the filtered image (done with conv2). Note that the FFT2 are plotted a ...e filter = 1/16*[1 2 1; 2 4 2; 1 2 1], commonly referred to as an "average filter":'''</u>8 KB (1,397 words) - 11:23, 18 March 2013
- periodic filter phoneme - Generally, the vocal tract transfer function is an all-pole filter2 KB (387 words) - 07:47, 14 November 2011
- Plot of the frequency response of the average filter: Plot of the frequency response of the filter:1 KB (163 words) - 12:50, 26 November 2014
- ...g how to handle the boundaries is as important as knowing how to apply the filter to the image (at least in the context of this course). -[[User:crtaylor|Ry945 B (155 words) - 17:55, 8 December 2009
- ...of some non-linear filters for face-enhancement, such as the Perona-Malik filter that preserve sharpness and details, whilst removing noise at the same time235 B (33 words) - 22:21, 6 December 2009
- ...though I got good grade on ECE301. And the second part is basically about filter. Before you take ECE438, I also recommend that you should figure out how to17 KB (3,004 words) - 08:11, 15 December 2011
- h(x,y) → filter FREE → filter image based only on pixels: {H, K, P}5 KB (811 words) - 16:19, 19 December 2009
- ...ion evolves into a great estimation method. The more I know about particle filter for object tracking, the more I get impressions about power of random sampl6 KB (884 words) - 16:26, 9 May 2010
- ...al ( this is of course easier said than done because we then have to use a filter of the appropriate length and so on, which means another two pages of math) ...h cut off frequencies that represented those weekly variations. A low pass filter is one that passes low frequency signals but attenuates signals that have f13 KB (2,348 words) - 13:25, 2 December 2011
- **[[Practice_Question_5_ECE438F10|Practice Question 5 (filter design)]]9 KB (1,221 words) - 11:00, 22 December 2014
- *Week 7-8: Filtering (Systems defined by Difference equations, Filter Design, DFT view of Filtering) ***Prof. Bouman's lecture notes on digital Filter design: [https://engineering.purdue.edu/~bouman/ece438/lecture/module_1/1.79 KB (1,331 words) - 07:15, 29 December 2010