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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 before, expanding an array element by element is a very ineffective and time-consuming technique. It is much more efficient, if the size is known ahead of time, to preallocate the array. For the cell arrays, this is completed with the cell function. For illustration, to preallocate a variable mycellmat to be a 2 × 2 cell array, the cell function would be called as shown below:
>> mycellmat = cell(2,2)
mycellmat =
[] []
Note that this is a function call; therefore the arguments to the function are in parentheses. This generates a matrix in which all the elements are empty vectors. Then, each and every element can be replaced by the desired value.
about sampling theorem
Illustration of Matrix solutions: For illustration, consider the three equations below with 3unknowns x 1 ,x 2 , and x 3 : We can write this in the form Ax = b here A
Variable Scope: The scope of any of variable is the workspace in which it is valid. The workspace generated in the Command Window is known as the base workspace. As we know
Intersect function and setdiff function: The intersect function rather than returns all the values which can be found in both of the input argument vectors. >> intersect(v
Illustration of anonymous functions: Dissimilar functions stored in the M-files, when no argument is passed to an anonymous function, the parentheses should still be in the fu
Vector operations: As vectors are special cases of matrices, the matrix operations elaborated (addition, subtraction, multiplication, scalar multiplication, transpose) work on
Program of passing arguments to functions: This was an illustration of a function which did not receive any input arguments nor did it return any output arguments; it easily a
Dot Product: The dot or inner product of two vectors a and b is written as a • b and is defined as In another words, this is like matrix multiplication when multiplyi
Gauss Elimination: The Gauss elimination technique consists of: Generating the augmented matrix [A b] Applying EROs to augmented matrix to obtain an upper trian
function imread: The function imread can read an image file, for illustration a JPEG (.jpg) file. The function reads color images into a 3-dimensional matrix. >> myimage1
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