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Scuola di Calcolo Scientifico con MATLAB

Palermo & Catania, Jan 27-29

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Agenda

� Visualizing data

� How to build GUIs using MATLAB and GUIDE

� The GUI M-file(s)

� Working with user interface controls

� Callback programming and various advanced topics

� Development/Deployment Process Overview

� Deploying with MATLAB

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Conveying Information

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Plot Catalog

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Estimate Electricity Usage

plot contourf ribbon

Filename: january.txt

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-0.5 0 0.5 1 1.5 2 2.5-1

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horizontal displacement (x) [cubits]

��������

☯��

� � �

This graph is seriously annotated!3 ≤ ω < π

� � ���

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local maximum

global maximum

penguins

sloths(as t → ∞)

Annotation

ylabel

xlabel

textgtext

title

legend

grid

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Customizing Axes

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Handle Graphics ®

figure

axes

plot objects

(text/line/patch/etc)

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Property Inspector and Browser

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Get and Set

>> [c,ch] = contour(data,10);>> set(ch,'LineWidth',1.5)

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Navigating the Hierarchy

>> h1 = get(gca,'Parent')>> h2 = get(gca,'Children')>> set(h2,'LineStyle', ':‘)

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ExerciseBarc(y,label) draws the column of the 1-by-M y in different colors and labels the axes with custom te xt.

label is a 1-by-M cell array of strings.

label = …{'car','trucks','freight','barges','rail',planes'};

Y = [8 9 10 7 6 5]

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guide

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sommatore

edit

text

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Interface Challenges

� Who are your users?� Predictability� Feedback and error control� Undo capabilities� Disable irrelevant options

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Design Principles

Consistency Alignment Integrity

Harmony

Simplicity Unity Clarity

Elegance Directness

Familiarity Friendliness

Comfort Charm

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Dynamic Interfaces

ContinuousPhysical

Smooth

ImmediateSnappy

Direct

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Design Process

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Resources

� http://www.math.duke.edu/education/ccp/resources/write/design

� http://www.fgcu.edu/onlinedesign/index.html

� http://cfg.cit.cornell.edu/design/contents.html

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Earth-Quake Data Analysis

� Scenario:– Develop a tool to analyze earthquake

data

� Requirements:– Statistics capabilities

– Signal Processing Algorithms

– Automated program

– User interface

– Reporting capability

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Data Analysis with MATLAB

Earth-Quake Data Analysis

quake.csv

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Earth-Quake Analysis

Step1: Import and Visualize Data

� Import data from quake.xls file

� Scale the data

� Plot data� Customize and annotate data

� Save your work

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Earth-Quake Analysis

Step1: Import Data

1. Move to your working directory using the Current Directory Browser.

2. Use the Import Wizard to load the data in quake.xls into a 10001 x 3 array data in the MATLAB Workspace.

3. In the Workspace Browser, select data . Use the Plot Selection menu at the top of the Workspace Browser to plot data .

4. Scale data by the gravitational acceleration g = 9.8 m/s^2. Please consider that data unit is cm/s^2.

5. Create a variable t for the time history.

6. In the Workspace Browser, select data and t . Use the Plot Selection menu at the top of the Workspace Browser to plot them

7. Enable Plot Tools with button on Figure Toolbar. Enhance the plot by adding titles and axis labels, changing fonts and colors, adjusting axes and plot properties.

8. Save your work to a MATLAB figure (quake.fig ) file in your working directory and save your variables to a mat-file (step1.mat )

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Earth-Quake Analysis

Step2: Prepare Data

� Remove/replace missing values

� Smooth and detrend data

� Visualize original and processed data

� Write custom script to automate workflow

� Interactively explore data

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Earth-Quake Analysis

Step2: Prepare Data

1. Open data in the Array Editor. Create a 10001 x 1 array e from the 1st column of data , and a 10001 x 1 array n from the 2nd one.

2. In the Workspace Browser, select e and t . Use the Plot Selection menu at the top of the Workspace Browser to plot e.

3. Enable Plot Tools with button on Figure Toolbar. Click 2D Axes in the New Subplot panel of the Figure Palette. Once the axes appears, the Add Data button on the Plot Browser is activated. Click this button to visualize n.

4. Use the Data Statistics Tool to find the mean acceleration in the East-West and North-South directions

5. Interactively zoom to explore e in the range [21 22.5]s

6. Use the MATLAB function isnan to identify missing values in e, and then remove them: � Replace missing values from “long term average” value� Interpolate missing values from neighboring value

t

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Earth-Quake Analysis

Step2: Prepare Data

7. Search a MATLAB function for removing linear trends. Hint: docsearch('removing linear trend')

8. Write a custom script to automate workflow:– Create M-file from selected commands in Command History– Use a for loop to identify and interpolate missing values in data– Save the M-file as preProcess.m

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Earth-Quake Analysis

Step3: Analyze Data

� Sharing Results from MATLAB– Publish m-file scripts– Export data and graphics

� Analyze the frequency content of your data

� Denoise/filter data

� Interactively locate the earthquake

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Earth-Quake Analysis

Step3: Analyze Data

1. Using the fft command perform the Fast Fourier Transform of detrend_data and evaluate its power spectrum Pyy .

2. Use filter for denoising your signal. Apply a band-pass filter to eliminate frequency above and below the range [2-14]Hz.

3. Use cumsumto integrate filteredData and return the approximate x, y, and z coordinates of the seismometer during the earthquake. Write a custom function seisTraj.m to automate the integration.

4. Use print to save the 3-D plot (plot3 ) of the seismometer’s trajectory to a bmp file (e.g. sies.bmp ).

5. Visualize filteredData in three different subplots. Use ginput to measure the S-P time interval. The S-P time interval will be used to determine the distance the waves have traveled from the origin to the station.

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Earth-Quake Analysis

Step4: Building an Application

� Convert script to reusable function– Code quality– Performance

� Add a graphical user interface– Use pre-defined dialog boxes

(select files, print graphics, …)– Develop a complete custom graphical user interface

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Earth-Quake Analysis

Step4: Building an Application

1. Converting the following script m-Files to function m-Files – preProcess.m– preFilter.m– seistraj.m

2. At the MATLAB prompt run guide('seis.fig') . Look for a

subfunction that is named PSMenu_Callback and perform all

TODOstatements. Test if your application works.

4. Compile your application with the following command: deploytool

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MATLABBuilder for .NET

MATLABBuilder for Excel

MATLABBuilder for

Java

.exe .dll/.lib .NETCOMExcelAdd-in

MATLAB Compiler

Java

Deploying Applications with MATLAB

www

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MATLABMATLAB

DesktopDesktop

EndEnd--UserUser

MachineMachine

Working with MATLAB Compiler

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© 2

009

The

Mat

hWor

ks, I

nc.

® ®

Questions?