tag:www.mathworks.com,2005:/matlabcentral/fileexchange/feedMATLAB Central File Exchangeicon.pnglogo.pngMATLAB Central - File ExchangeUser-contributed code library2016-02-12T21:34:52-05:00262251100tag:www.mathworks.com,2005:FileInfo/553692016-02-13T01:13:54Z2016-02-13T01:13:54ZYM.YgrexHanya COntohku<p>Ini Tesisku</p>kiki Rusdyantohttp://www.mathworks.com/matlabcentral/profile/authors/7227250-kiki-rusdyantoMATLAB 8.1 (R2013a)falsetag:www.mathworks.com,2005:FileInfo/527452015-08-30T02:24:20Z2016-02-13T00:24:56ZExcel plot generatorGenerate plots in Excel directly from MATLAB<p>This application generates plots in Excel from the MATLAB environment with no requirement to open and process the data in Excel. Application is intended to function like the internal MATLAB plot command by using handles to modify the data location / plot formatting. The major difference is that modifications are declared before the file is generated rather than by modifying the object afterward as is done in MATLAB. See help for examples.
<br />Application uses active X (with all the limitations associated there in). But by using active X, MATLAB can modify the Excel plots as needed and it is faster than xlswrite. You can add to existing Excel files if you like but behaviors can be a little strange if you accidently overwrite existing data. NOTICE: Active X has demonstrated some instability in testing. Some machines work fine while others require Excel to be closed when using the program. It is an Active X issue, not a MATLAB issue.
<br />If you find yourself forced to provide data using the least common denominator of programming languages (Excel), this is a relatively simple way to write data to excel and generate plots from that data into a self-contained Excel workbook. User does not need MATALB and will not be able to tell that MATLAB was used to generate the data.</p>michael aranthttp://www.mathworks.com/matlabcentral/profile/authors/460215-michael-arantMATLAB 7.14 (R2012a)falsetag:www.mathworks.com,2005:FileInfo/527432015-08-30T01:38:38Z2016-02-12T23:58:31ZNumber to LetterSimple program to convert base 10 numbers to base 26 (i.e. from 1, 2, 3, 26 to a, b, c, z)<p>Simple program to convert base 10 numbers to letters. Written to make writing from MATALB to Excel (ex. xlswrite) easier.</p>michael aranthttp://www.mathworks.com/matlabcentral/profile/authors/460215-michael-arantMATLAB 7.14 (R2012a)falsetag:www.mathworks.com,2005:FileInfo/276592010-05-19T04:48:17Z2016-02-12T23:39:30ZPIVlab - time-resolved particle image velocimetry (PIV) toolA GUI based tool to preprocess, analyze, validate, postprocess, visualize and simulate PIV data.<p>PIVlab is a time-resolved particle image velocimetry (PIV) software that does not only calculate the velocity distribution within particle image pairs, but can also be used to derive, display and export multiple parameters of the flow pattern. A user-friendly graphical user interface (GUI) makes PIV analyses and data post-processing fast and efficient.
<br />Screen-capture video of the tool:
<br /><a href="http://vimeo.com/10090907">http://vimeo.com/10090907</a>
<br />Example analyses & videos can be found on the PIVlab website:
<br /><a href="http://PIVlab.blogspot.com">http://PIVlab.blogspot.com</a>
<br />Please ask your questions in the PIVlab forum:
<br /><a href="http://pivlab.blogspot.de/p/forum.html">http://pivlab.blogspot.de/p/forum.html</a>
<br />Main features:
<br />* completely GUI based PIV tool
<br />* multi-pass, multi grid window deformation technique
<br />* import bmp/ tiff/ jpeg image pairs/ series
<br />* image sequencing styles A-B, C-D, ... or A-B, B-C, ...
<br />* individual image masking and region of interest (ROI) selection
<br />* image pre-processing (contrast enhancement, highpass, intensity capping)
<br />* two different sub-pixel estimators
<br />* multiple vector validation methods
<br />* magnitude/ vorticity/ divergence/ shear / ...
<br />* data smoothing, vector field highpass
<br />* multiple colormaps
<br />* streamlines
<br />* extensive data extraction tools/ integration via poly lines/ circles/ area
<br />* statistics (histograms, scatterplot, mean & stdev)
<br />* precise particle image pair generation with user-defined parameters and several flow simulations (synthetic PIV image generator)
<br />* data export (matlab, ascii, movie file, image, Paraview, ...)
<br />* main features accessible via comand line scripting
<br />In addition to the acknowledgements to MATLAB fex submissions, we would like to acknowledge Uri Shavit, Roi Gurka & Alex Liberzon for sharing their code for 3-point gaussian sub-pixel estimation ( <a href="http://www.openpiv.net">http://www.openpiv.net</a> ).
<br />Thanks to Nima Bigdely Shamlo for allowing me to include the LIC function. Thanks to Raffel et al. for writing the book "Particle Image Velocimetry, A Practical Guide", which was a very good help.
<br />See the file "thirdparty.txt" in the zip archive for licenses and references.
<br />If you use our work, please leave a comment and a rating.</p>William Thielickehttp://www.mathworks.com/matlabcentral/profile/authors/1377529-william-thielickeMATLAB 7.12 (R2011a)Image Processing ToolboxRobust Control ToolboxMATLAB2897274551108672563438860falsetag:www.mathworks.com,2005:FileInfo/553682016-02-12T22:15:20Z2016-02-12T22:15:20ZhalfGuageDisplayCreates a half guage or a speedometer display for indicating a percentage<p>HALFGUAGEDISPLAY allows you to generate a half guage display or a
<br /> speedometer display that can be used to indicate a probability score as a
<br /> percentage or a percentage value itself.
<br /> The half guage this function creates is clockwise with lower values at the
<br /> left end of the guage and higher values towards the right end. The half
<br /> guage has a radius of 1.</p>Pooja Narayanhttp://www.mathworks.com/matlabcentral/profile/authors/6641836-pooja-narayanMATLAB 8.6 (R2015b)colorGradient.m by Jose Maria Garcia-Valdecasas Bernal --> can be found on File Exchange31524falsetag:www.mathworks.com,2005:FileInfo/464322014-05-01T17:49:55Z2016-02-12T21:14:29ZReversible Data Hiding or Reversible WatermarkingInfimum and Supremum of Thresholds and Seven Symmetry Predictors for Reversible Data Hiding<p>We proved that the infimums of the SMT and DMT in terms of predicted value are -u'/2 and -u'/3, respectively, and the supremums of SMT and DMT in terms of predicted value are (254-u')/2 and (253-u')/3, respectively. This means stopping the non-positive and non-negative thresholds of each predicted value at its infimum and supremum we provide the largest number of embeddable pixels with the smallest possible size of the location map. Using this result, we have presented the procedure to determine the first operating threshold. This significantly decreases the computational complexity of RDH. We also developed the encoding and decoding formulas without using modification testing for RDH based on PEE and HS. Moreover, we described the linear relationship of the pixels in four directions: horizontal, vertical, left-diagonal and right-diagonal. These new predictors, called the seven vertical-horizontal symmetry pattern predictors, were introduced into the optimization procedure for determining the smooth and rough predictors.</p>mongkolhttp://www.mathworks.com/matlabcentral/profile/authors/5298641-mongkolMATLAB 7.9 (R2009b)falsetag:www.mathworks.com,2005:FileInfo/553652016-02-12T20:23:24Z2016-02-12T20:23:24Zv1.11.1<p>1.1</p>midzatahttp://www.mathworks.com/matlabcentral/profile/authors/7031735-midzataMATLAB 8.4 (R2014b)1.1falsetag:www.mathworks.com,2005:FileInfo/553642016-02-12T20:05:48Z2016-02-12T20:05:48ZAndyZelenak/three_simple_PIDsSimple first, second, and 3rd-order PID simulations.<p>Simple 1st, 2nd, & 3rd-order PID simulations for MATLAB</p>Andy Zelenakhttp://www.mathworks.com/matlabcentral/profile/authors/3059373-andy-zelenakMATLAB 8.3 (R2014a)MATLAB35163falsetag:www.mathworks.com,2005:FileInfo/553612016-02-12T18:23:25Z2016-02-12T18:23:25Z8ka8ka<p>8ka</p>midzatahttp://www.mathworks.com/matlabcentral/profile/authors/7031735-midzataMATLAB 7.13 (R2011b)falsetag:www.mathworks.com,2005:FileInfo/553632016-02-12T18:03:26Z2016-02-12T18:03:26Zteoria de controlcontrol<p>teorĂa de control avanzado</p>URIEL RODRIGUEZhttp://www.mathworks.com/matlabcentral/profile/authors/7657898-uriel-rodriguezMATLAB 8.4 (R2014b)Simulinkfalse