# Download e-book for iPad: Digital Signal Processing Using MATLAB for Students and by John W. Leis

By John W. Leis

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Read e-book online Random Signals and Processes Primer with MATLAB PDF

This booklet offers somebody wanting a primer on random indications and approaches with a hugely obtainable advent to those topics.  It assumes a minimum quantity of mathematical heritage and makes a speciality of thoughts, similar phrases and fascinating functions to numerous fields.  All of this can be stimulated by means of a variety of examples applied with MATLAB, in addition to a number of workouts on the finish of every bankruptcy.

Prof. Dr. Benker arbeitet am Fachbereich Mathematik und Informatik der Martin-Luther-Universität in Halle (Saale) und hält u. a. Vorlesungen zur Lösung mathematischer Probleme mit Computeralgebra-Systemen. Neben seinen Lehraufgaben forscht er auf dem Gebiet der mathematischen Optimierung.

Download e-book for iPad: Maple V Language Reference Manual by Bruce W. Char; Keith O. Geddes; Gaston H. Gonnet; Benton L.

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Additional resources for Digital Signal Processing Using MATLAB for Students and Researchers

Sample text

It is better to use the switch-case construct, which conveniently gives us an “otherwise” clause as follows. a = 2; b = 3; switch (a*b) case 4 disp(‘answer is 4’); case a*b disp([num2str(a*b) ‘of course’]); otherwise disp(‘not found’); end The main constructs for iteration (looping) in MATLAB are the for and while statements. 1 in the following. 2, . . 1:10 fprintf(1, ‘x is %d\n’, x); end The while loop form may be used as shown in the following example. It is typically used where the terminating condition for the iteration is calculated within the loop, rather than iterating over a fixed range of values as with the for loop.

Create an N × M image of random pixels as follows. Note that an image is usually thought of as being width × height, whereas a matrix is specified as rows × columns. M = 64; N = 128; x = rand(M, N); x = floor(x*256); image(x); set(gca, ‘PlotBoxAspectRatio’, [N M 1]); axis(‘off’); box(‘on’); The size of the image on screen corresponds to the size of the matrix, with the image pixels scaled to integer values in the range 0 to 255. 7. The command to set the aspect ratio ensures that the pixels are square, rather than distorted to satisfy the size constraints of the available display area.

Bmp’); img = double(img); invimg = 255 − img; image(invimg); colormap(cmap); axis(‘off’); set(gca, ‘DataAspectRatio’, [1 1 1]); Note that the bitmap (bmp) format in the above example stores the color palette alongside the image. bmp), two changes will occur. First, the image matrix returned will be a three-dimensional array, with the third dimension being 3. These are for the red, green, and blue color components. Second, even if the image is a grayscale one, the colormap will not usually be present.