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Example of image processing:
The other illustration generates a 5 × 5 matrix of arbitrary integers in the range from 1 to the number of colors; the resultant image is as shown in figure.
Obviously, such images are instead crude; the elements presenting the pixel colors are quite large blocks. A larger matrix would result in something more closely similar to an image, as shown in figure:
Matrix operations: There are some common operations on matrices. The operators which are applied term by term, implying that the matrices should be of similar size, sometimes
Illustration of Sound files: For illustration, the following script generates a subplot which shows the signals from chirp and from train, which is as shown in figure:
calcrectarea subfunction: function call: area = calcrectarea(len,wid); function header: function area = calcrectarea(len, wid) In the function call, the two arg
Preallocating a Vector: There are necessarily two programming techniques that can be used to simulate the cumsum function. One technique is to begin with an empty vector and c
Defined a variable in work space: The variables defined in the script will become a part of the workspace: >> clear >> who >> mysummfile 15 >> who
Illustration of gauss-jordan: Here's an illustration of performing such substitutions by using MATLAB >> a = [1 3 0; 2 1 3; 4 2 3] a = 1 3 0 2 1 3 4 2
Binary Search: The binary search supposes that the vector has been sorted first. The algorithm is just similar to the way it works whenever looking for a name in a phone direc
Creating a cell array: The other method of creating a cell array is easy to assign values to particular array elements and build it up element by element. Though, as explained
7.13
Anonymous Functions: The anonymous function is a very easy, one-line function. The benefit of an anonymous function is that it does not have to be stored in an M-file. This ca
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