A Matlab help table is indispensable for a quick analysis of data. It presents the user with various figures and plot options and also helps in creating a quick report. The use of matrices, interactive matrices, visual basic applications and expressions have made matlab a very powerful tool in the hands of an engineer or analyst. It enables one to create, modify, analyze, forecasts and even print charts of figures and data.
The Matlab help table contains 6 tabs namely Input, Output, Result, Barrier, Limit and Min and so on. In Matlab the first tab called ‘Input’ contains the initial value of the input data. It displays the name of the variable and the type of the operation or the function performed on it. The tab named ‘Output’ contains various types of values like floats, int, double, real, rational etc that can be input to the Matlab program. ‘Barrier’ is a sort of function known as the parabola.
One can use matrices and functions such as convolution, filtering, bandpass, smooth functions, mean square root, high-pass and low-pass filtering. One can also use matrices for the analysis and visualisation of results. Bandpass filter takes one or more samples at a time and creates a continuous signal by dividing it into groups. Smooth function takes a series of input parameters output parameters and generates a smooth band from them.
There are various other functions such as the’Hessian transform’ for solving the spatial autoregressive fitting problems. ‘Sinclair map’ creates and saves the world geometry (distance, directions, position etc) in a mathematically suitable format such as grayscale, ist page, triangulation etc. ‘Bandpass neural networks’ and ‘ense page neural nets’ are some of the many functions that one can use for the generation of bandpass filters. ‘Bandpass Filter Bank’ allows one to save and re-use the bandpass filters.
Matlab help provides a wealth of information with respect to matrices, data, plots and diagrams. The user interface for Matlab is simple and intuitive. Automatic linkparset creation facilitates the installation of all matrices and their related eamples. Automatic channel matrix generation facilitates the creation and connection of webpage channels to a Matlab workspace. Linkparset parameters, sample set up and channel matrices are easily accessible from the help menu.
The user can alter the default settings which have been predefined during installation. There is a large number of built in functions and subfunctions in the Matlab system. The user can easily find the ones he needs from the help menu or by browsing the manual. There are many channel models supported by the Matlab system. The channels can be used for both time and frequency domain analysis. Channel model examples provided with the software can be used to start with a simple setup.
Time and frequency domain predictions are made possible with the help of the external fit model tool. Time averages and standard deviations can be automatically plotted using the built in fit routines in Matlab. The built in smoothing function can be used to obtain marginal statistical distributions. The spatial resolution of the Matlab grid is highly adjustable. The Matrox grid resolution, r, can be adjusted to fit any common type of data frame such as a tensor data frame or a co-ords data frame.
There are a number of other functions supported by the Matlab include the plotting of the sinus angles, the calculation of the tangent lines and wavefront curve traces. The function plot function, which is similar to the abs function but more efficient when dealing with high-dimensional data, can be used to plot the aoes, zero phase angles, phase shifts and wavefront patterns. There is even support for surface fitting of surface representations in the form of a map or aoe shots. Aoe shots are produced when a plane is passed over the surface being plotted. It can be used in conjunction with the Matlab function map to obtain high quality images from multiple samples.