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Appending variables to the Mat-File:
Appending to the file adds to what has been saved in a file, and is accomplished by using the -append option. For illustration, supposing that the variable mymat already has been stored in the file 'sess2.mat', this would append the variable x to the file:
>> save -append sess2 x
>> who -file sess2
Your variables are:
mymat x
Without identifying variable(s), just save -append would add all the variables from the Command Window to the file. Whenever this happens, when the variable is not in the file, it is appended. If there is a variable with similar name in the file, it is substituted by the present value from the Command Window.
Illustration sorting vectors of structures: This function sorts the structures depend only on the price field. A more common function is shown next, that receives a string whi
Illustration of Set operations: For illustration, given the vectors as shown below: >> v1 = 2:6 v1 = 2 3 4 5 6 >> v2 = 1:2:7 v2 = 1 3 5 7
Reduced Row Echelon Form: The Gauss Jordan technique results in a diagonal form; for illustration, for a 3 × 3 system: The Reduced Row Echelon Forms take this one step
Vector operations: As vectors are special cases of matrices, the matrix operations elaborated (addition, subtraction, multiplication, scalar multiplication, transpose) work on
Data structures: The Data structures are variables which store more than one value. In order to made sense to store more than one value in a variable, the values must in some
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
Example of Gauss-jordan: For a 2×2 system, this would results and for a 3 × 3 system, Note that the resulting diagonal form does not involve the right-most col
Modular programs: In a modular program, the answer is broken down into modules, and each is executed as a function. The script is usually known as the main program. In orde
. 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
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
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