Getting started with MATLAB

         MATLAB is a powerful software tool for mathematical Computation. Using  the tool Boxes available in the MATLAB we can use it for the applications like signal processing , Control systems, Mechanical applications, Circuit simulation etc. The main principle behind the MATLAB Computation is it takes the data in the form of Matrix and it computes the data,corresponding result is displayed on the console.

Some important commands in MATLAB:

Command	Operation
Help	Lists topic which help is available
Help command name	Provides help on the topic selected
Demo	Runs the Demo program
Who	Lists variables currently in the workspace
Whos	Lists variables currently in the workspace and their sizes
Clear	Clear the workspace, all the variables are removed.
Clear x,y,z	Clears only variables x, y and  z.
Quit	Quits MATLAB

Some of the frequently used built-in-functions in signal processing Toolbox:

Command	Operation
FILTER(B,A,X)	Syntax of this function is Y = FILTER(B,A,X). It filters the data in vector X with the filter described by vectors A and B to create the filtered data Y.
FFT(X)	FFT(X) is the discrete Fourier transform (DFT) of vector X.  For matrices, the FFT operation is applied to each column. For N-D arrays, the FFT operation operates on the first non-singleton dimension.   FFT(X,N) is the N-point FFT, padded with zeros if X has less than N points and truncated if it has more.
IFFT(X)	IFFT(X) is the inverse discrete Fourier transform of X. IFFT(X,N) is the N-point inverse transform.
CONV(A, B)	C = CONV(A, B) convolves vectors A and B.  The resulting vector is length LENGTH(A)+LENGTH(B)-1.  If A and B are vectors of polynomial coefficients, convolving them is equivalent to multiplying the two polynomials.
DECONV(B,A)	[Q,R] = DECONV(B,A) deconvolves vector A out of vector B.  The result is returned in vector Q and the remainder in vector R such that B = conv(A,Q) + R.    If A and B are vectors of polynomial coefficients, deconvolution is equivalent to polynomial division.  The result of dividing B by A is quotient Q and remainder R.
ABS(X)	ABS(X) is the absolute value of the elements of X. When X is complex, ABS(X) is the complex modulus (magnitude) of the elements of X.
ANGLE(H)	ANGLE(H) returns the phase angles, in radians, of a matrix with complex elements.
FREQZ(B,A,N)	[H,W] = FREQZ(B,A,N) returns the N-point complex frequency response vector H and the N-point frequency vector W in radians/sample of the filter B/A.
STEM(Y)	STEM(Y) plots the data sequence Y as stems from the x axis terminated with circles for the data value. If Y is a matrix then each column is plotted as a separate series.
STEM(X,Y)	STEM(X,Y) plots the data sequence Y at the values specified in X.
PLOT(X,Y)	PLOT(X,Y) plots vector Y versus vector X. If X or Y is a matrix, then the vector is plotted versus the rows or columns of the matrix, whichever line up.  If X is a scalar and Y is a vector, length(Y) disconnected points are plotted.
TITLE('text')	TITLE('text') adds text at the top of the current axis.
XLABEL('text')	XLABEL('text') adds text beside the X-axis on the current axis.
YLABEL('text')	YLABEL('text') adds text beside the Y-axis on the current axis.