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Matlab

Thursday, April 7, 2011. The following table summarizes the list of functions provided by MATLAB for the creation and customization of two-dimensional plots. Creates a plot with log scales for both axes. Uses a log scale for the x-axis. Uses a log scale for the y-axis. Adds a title to the plot. Adda a label to the x-axis. Adds a label to the y-axis. Displays a text string at a specified location. Same as text but allows use of the mouse to position text. Turns on grid lines. Figure 2. Multiple Plots.

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Matlab | matlabz.blogspot.com Reviews
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Thursday, April 7, 2011. The following table summarizes the list of functions provided by MATLAB for the creation and customization of two-dimensional plots. Creates a plot with log scales for both axes. Uses a log scale for the x-axis. Uses a log scale for the y-axis. Adds a title to the plot. Adda a label to the x-axis. Adds a label to the y-axis. Displays a text string at a specified location. Same as text but allows use of the mouse to position text. Turns on grid lines. Figure 2. Multiple Plots.
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1 matlab
2 plotting data
3 2d plots
4 matlab plot functions
5 function
6 plot
7 creates a plot
8 loglog
9 semilogx
10 semilogy
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Matlab | matlabz.blogspot.com Reviews

https://matlabz.blogspot.com

Thursday, April 7, 2011. The following table summarizes the list of functions provided by MATLAB for the creation and customization of two-dimensional plots. Creates a plot with log scales for both axes. Uses a log scale for the x-axis. Uses a log scale for the y-axis. Adds a title to the plot. Adda a label to the x-axis. Adds a label to the y-axis. Displays a text string at a specified location. Same as text but allows use of the mouse to position text. Turns on grid lines. Figure 2. Multiple Plots.

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1

Matlab: Linear Discriminant Analysis Introduction

http://matlabz.blogspot.com/2011/04/linear-discriminant-analysis.html

Thursday, April 7, 2011. Linear Discriminant Analysis Introduction. Linear Discriminant Analysis (LDA) is a method to discriminate between two or more groups of samples. In order to develop a classifier based on LDA, you have to perform the following steps:. Definition of discriminating function. Estimation of discriminating function. Test of discriminating function. Definition of discriminating function:. Is used, with x. Being the variables describing the data set. The parameters a. In order to get a b...

2

Matlab: MATLAB - Introductory FFT Tutorial

http://matlabz.blogspot.com/2011/03/matlab-introductory-fft-tutorial.html

Wednesday, March 30, 2011. MATLAB - Introductory FFT Tutorial. In this tutorial, we will discuss how to use the. Fast Fourier Transform) command within MATLAB. The fft command is in itself pretty simple, but takes a little bit of getting used to in order to be used effectively. This tutorial will show you how to define your x-axis so that your fft results are meaningful. In addition, it will show you how to obtain a two-sided spectrum as well as a positive frequency spectrum for a given signal. When we t...

3

Matlab: Plotting Data

http://matlabz.blogspot.com/2011/04/plotting-data.html

Thursday, April 7, 2011. The following table summarizes the list of functions provided by MATLAB for the creation and customization of two-dimensional plots. Creates a plot with log scales for both axes. Uses a log scale for the x-axis. Uses a log scale for the y-axis. Adds a title to the plot. Adda a label to the x-axis. Adds a label to the y-axis. Displays a text string at a specified location. Same as text but allows use of the mouse to position text. Turns on grid lines. Figure 2. Multiple Plots.

4

Matlab: QRS Complex Detection and ECG Signal Processing

http://matlabz.blogspot.com/2011/04/contents-cancellation-dc-drift-and.html

Saturday, April 2, 2011. QRS Complex Detection and ECG Signal Processing. Shows the effect of each filter according to Pan-Tompkins algorithm. Note that, the decision algorithm is different then the mentioned algorithm. X1 = load( 'ecg3.dat'. Load the ECG signal from the file. Fs = 200; % Sampling rate. N = length (x1); % Signal length. T = [0:N-1]/fs; % time index. Figure(1) subplot(2,1,1) plot(t,x1) xlabel( 'second'. Title( 'Input ECG Signal'. Subplot(2,1,2) plot(t(200:600),x1(200:600) xlabel( 'second'.

5

Matlab: FFT and Spectral Leakage

http://matlabz.blogspot.com/2011/03/fft-and-spectral-leakage.html

Thursday, March 31, 2011. FFT and Spectral Leakage. Post under Matlab Codes. Thursday, January 20, 2011. Frequency Transform is used to study a signal's frequency domain. Characteristics. When using FFT to study the frequency domain characteristics of a signal, there are two limits : 1) The detectability of a small signal in the presence of a larger one ; 2) frequency resolution - which distinguishes two different frequencies. Figure 1: Impact of observation interval on FFT. Next, the measurement window.

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Matlab

Thursday, April 7, 2011. The following table summarizes the list of functions provided by MATLAB for the creation and customization of two-dimensional plots. Creates a plot with log scales for both axes. Uses a log scale for the x-axis. Uses a log scale for the y-axis. Adds a title to the plot. Adda a label to the x-axis. Adds a label to the y-axis. Displays a text string at a specified location. Same as text but allows use of the mouse to position text. Turns on grid lines. Figure 2. Multiple Plots.

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