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Built-In Functions and help:
There are lots of built-in functions in a MATLAB. The help command is used to find out what functions MATLAB has, and how to use them. For illustration, typing help at the prompt in the Command Window will represent a list of help topics that are the groups of related functions. This is a very big list; the most elementary help topics are in the starting.
For illustration, one of these is listed as matlab\elfun; it involves the elementary math functions. The other is the first help topics as matlab\ops that shows the operators which can be used in expressions.
To see the list of functions contained within aspecific help topic, type help followed by the name of the topic. For illustration,
>> help elfun
will represent a list of elementary math functions. It is a very big list, and is broken into trigonometric (for which the default is radians, but there are equivalent functions which rather than use the degrees), complex, exponential, and rounding and remainder functions.
Calculate the gray level value for all the pixels, Computer Graphics An 8x8 image f[i,j] has gray levels given by the following equation: f [i , j]= ? i-j ? ; i,j=0,1,2,3,4,5,6,7.
Make a vector of 500 random numbers from a normal distribution with mean 2 and standard deviation 5(randn). a After you generate the vector, verify that the sample mean and stan
program
drow midpoint circle for scan converting acircle in matlab
Variable numbers of arguments: In the functions there have been a fixed number of input and output arguments. For illustration, in the function below, there is one input argum
IIR filter using Bilinear trasformation
#question how to solve radicals exponents..
Create a function using mat lab to generate a sinusoidal signal. The parameters of the signal should have an Amplitude = 100, frequency = 100Hz, initial phase = 0, sample rate = 50
Hold and legend function: hold: is a toggle which freezes the present graph in the figure window, so that the new plots will be superimposed on the present one. Just hold
For a statistically stationary environment it would be advantageous to use gear shifting, that is to reduce the adaptation gain with time. To illustrate this, try using a varying a
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