Category Archive for: advanced Plotting and Model Building

Interactive Plotting in MATLAB

Interactive Plotting in MATLAB This is an optional section that may be omitted without affecting your understanding of the material in subsequent sections and chapters. The graphics functions covered in Sections 5~1 through 5.3 are powerful enough to create detailed, professional-looking plots in MATLAB, and they can be placed in reusable script files to create similar plots. This feature…

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Special Plot Types

Special Plot Types In this section we show how to obtain logarithmic axes; how to change the default tick-mark spacing and labels; and how to produce other specialized plots. Logarithmic Plots Thus far we have used only rectilinear scales. However, logarithmic scales are also widely used. (We often refer to them with the shorter term, log scale.) Two common reasons…

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xy Plotting Functions

xy Plotting Functions The most common plot is the xy plot. Its name assumes that we are plotting a function y = I(x), although, of course, other symbols may be used. We plot the x values on the horizontal axis (the abscissa), and the y values on the vertical axi (the ordinate). Usually we plot the independent variable,…

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Advanced Plotting And Model Building

OUTLINE x y Plotting Functions Subplots and Overlay Plots Special Plot Types Inter,active Plottinig in MATLAB Function Discovery Regression The Basic Fitting Interface Three-Dimensional Plots 5.9 Summary Problems The popular phrase ”A picture is worth a thousand words” emphasizes the importance of graphical representation in communicating information. It is easier to identify patterns in a plot than…

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Three-Dimensional Plots

Three-Dimensional Plots Functions of two variables are sometimes difficult to visualize with a two dimensional plot. Fortunately, MATLAB provides many functions for creating three-dimensional plots. Here we will summarize the basic functions to create three types of plots: line plots, surface plots, and contour plots. Information about the related functions is available in MATLAB help (category graph 3d). Three-Dimensional…

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Summary

Summary This chapter explained how to use the powerful MATLAB commands to create effective and pleasing two-dimensional and three-dimensional plots. You learned an important application of plotting-function discovery-which is the technique for using data plots to obtain a mathematical function that describes the data. Regression can be used to develop a model for cases where there is considerable scatter…

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PROBLEMS

Problems Youcan find the answers to problems marked with an asterisk at the end of the text. Be sure to label and format properly any plots required’ by the following problems. Label each axis properly. Use a legend, data markers, or different line types as needed. Choose proper axis scaling and tick-mark spacing. Use a title, a grid, or…

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Response of a Biomedical Instrument

Response of a Biomedical Instrument Biomedical instrumentation is an important engineering field. These devices are used to measure many quantities. such as ‘body  temperature. blood oxygen level. heart rate. and so forth. Engineers developing such devices often need to obtain a response curve that describes how fast the instrument can make measurements. The theory of instrumentation shows that often…

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The Basic Fitting Interface

The Basic Fitting Interface MATLAB supports curve fitting through the Basic Fitting interface. Using this interface, you can quickly perform basic curve fitting tasks within the same easy to- use environment. The interface is designed so that you can: • Fit data using a cubic spline or a polynomial up to degree 10. • Plot multiple fits…

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Function Discovery

Function Discovery Function discovery is the process of finding, or “discovering,” a function can describe a particular set of data. The following three function types often describe physical phenomena. For example, the linear function dU the voltage-current relation for a resistor (v =iR). The line are relation also describes the velocity versus time relation for an object with constant…

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