(New page: = Lecture 35 Blog, ECE438 Fall 2010, Prof. Boutin = Monday November 15, 2010 (Week 13) - See Course Outline. ---- We began the...) |
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Monday November 15, 2010 (Week 13) - See [[Lecture_Schedule_ECE438Fall10_Boutin|Course Outline]]. | Monday November 15, 2010 (Week 13) - See [[Lecture_Schedule_ECE438Fall10_Boutin|Course Outline]]. | ||
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| − | We began the lecture with a proof of the linear filtering view of the STFT. Then we obtained a formula to reconstruct a signal from its STFT. This concluded the material on speech processing. We then began talking about image processing. Since images are signals depending on two (space) variables, we defined the 2D Fourier transform, which is also called the "continuous-space Fourier transform". | + | We began the lecture with a proof of the linear filtering view of the STFT. Then we obtained a formula to reconstruct a signal from its STFT. This concluded the material on speech processing. We then began talking about image processing. Since images are signals depending on two (space) variables, we defined the [[:Category:continuous-space Fourier transform|2D Fourier transform]], which is also called the "[[:Category:continuous-space Fourier transform|continuous-space Fourier transform]]". |
Previous: [[Lecture34ECE438F10|Lecture 34]]; Next: [[Lecture36ECE438F10|Lecture 36]] | Previous: [[Lecture34ECE438F10|Lecture 34]]; Next: [[Lecture36ECE438F10|Lecture 36]] | ||
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[[2010 Fall ECE 438 Boutin|Back to 2010 Fall ECE 438 Boutin]] | [[2010 Fall ECE 438 Boutin|Back to 2010 Fall ECE 438 Boutin]] | ||
| + | [[Category:continuous-space Fourier transform]] | ||
[[Category:2010_Fall_ECE_438_Boutin]] | [[Category:2010_Fall_ECE_438_Boutin]] | ||
[[Category:blog]] | [[Category:blog]] | ||
Latest revision as of 09:32, 11 November 2011
Lecture 35 Blog, ECE438 Fall 2010, Prof. Boutin
Monday November 15, 2010 (Week 13) - See Course Outline.
We began the lecture with a proof of the linear filtering view of the STFT. Then we obtained a formula to reconstruct a signal from its STFT. This concluded the material on speech processing. We then began talking about image processing. Since images are signals depending on two (space) variables, we defined the 2D Fourier transform, which is also called the "continuous-space Fourier transform".
Previous: Lecture 34; Next: Lecture 36
