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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.
Matrix definitions: As we know the matrix can be thought of as a table of values in which there are both rows and columns. The most common form of a matrix A (that is sometime
Vector operations: As vectors are special cases of matrices, the matrix operations elaborated (addition, subtraction, multiplication, scalar multiplication, transpose) work on
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. Generate the following signal, x(n)=1+cos((25*pi*n)/100),0 Compute the DTFT of x[n] for w=0:0.01:2*pi Plot the Real part, imaginary part, the amplitude and phas
Basic mathematical operations: All the basic mathematical operations can be executed on symbolic expressions and variables (example, add, raise to a power, multiply, subtract,
Sorting Vectors of structures: Whenever working with vector of structures, it is very common to sort based on a particular field within the structures. For illustration, recal
i have a matlab project
Set Operations: The MATLAB has numerous built-in functions which perform set operations on vectors. These involve intersect, union, setdiff, unique, and setxor. All these func
Plotting from a Function: The following function creates a Figure Window as shown in figure, which shows various types of plots for similar y vector. The vector is passed as a
Inverse of square matrix: The inverse is, hence the result of multiplying the scalar 1/D by each and every element in the preceding matrix. Note that this is not the matrix A,
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