(New page: Category:ECE438Spring2009mboutin Course Notes January 14, 2009 1)Definitions ECE438 is about digital signals and systems 2) Digital Signal = a signal that can be represented by a ...)
 
 
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Course Notes January 14, 2009
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=Lecture Notes for [[ECE438]] Spring 2009, [[user:mboutin|Prof. Boutin]]=
 
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*[[CourseNotes1_(BoutinSpring2009)|Course Notes Lecture 1 Jan. 14, 2009]]
1)Definitions
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*[[CourseNotes2_(BoutinSpring2009)|Course Notes Lecture 2 Jan. 16, 2009]]
 
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*[[CourseNotes3_(BoutinSpring2009)|Course Notes Lecture 3 Jan. 21, 2009]]
ECE438 is about digital signals and systems
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*[[CourseNotes4_(BoutinSpring2009)|Course Notes Lecture 4 Jan. 23, 2009]]
 
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*[[CourseNotes6_(BoutinSpring2009)|Course Notes Lecture 6 Jan. 28, 2009]]
2) Digital Signal = a signal that can be represented by a sequence of 0's and 1's.
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*[[CourseNotes16_(BoutinSpring2009)|Course Notes Lecture 16 Feb. 23, 2009]]
so the signal must be DT X(t) = t, i.e. need x(n), n belongs to Z
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*[[CourseNotes20_(BoutinSpring2009)|Course Notes Lecture 20 Mar. 11, 2009]]
 
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*[[CourseNotes30_(BoutinSpring2009)|Course Notes Lecture 30 Apr. 17, 2009]]
Signal values must be discrete
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----
 
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[[ECE438_(BoutinFall2009)|Back to ECE438, Spring 2009]]
-x(n) contains the set {0,1} <-- binary valued signal
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or x(n) contains the set {0,1,2,...,255} <-- gray scale valued signal
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Another example of digital signal
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-the pixels in a bitmap image (grayscale) can have a value of 0,1,2,...,255 for each individual pixel.
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--If you concatenate all the rows of the image you can convert it to a 1 dimensional signal.
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i.e. x = (row1,row2,row3)
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<math>X \in {0,1,2,...,255}</math>
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Latest revision as of 05:37, 16 September 2013


Lecture Notes for ECE438 Spring 2009, Prof. Boutin


Back to ECE438, Spring 2009

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva