Intro/: Directory containing introductory examples. HelloWorld.c A simple program that draws a box and writes "Hello World" in HelloWorld.f it. data The data file for the introductory progressive example. Lines.c Reads the data from file "data" and plots just the curve with Lines.f no labels, viewport or anything indicating quantity or units. Viewport.c Restricts the graph to a viewport and frames the viewport, Viewport.f leaving the remainder of the area for labels, etc. CharLbls.c Adds labels for the chart title, X-axis title, and Y-axis CharLbls.f title. Tics.c Adds tic marks to the viewport edges, but since clipping was Tics.f not set correctly, tics extend outside the viewport. Clip.c Sets clipping such that tic marks are clipped at the viewport Clip.f boundaries. TicLabels.c Adds numeric tic labels to the graph this is the final TicLabels.f installment of the progressive example.
標簽： introductory HelloWorld containing Directory
上傳時間： 2016-03-29
上傳用戶：exxxds
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
標簽： Rauch-Tung-Striebel algorithm smoother which
上傳時間： 2016-04-15
上傳用戶：zhenyushaw
plotsphereIntensity(azimuth, elevation) plotsphereIntensity(azimuth, elevation, intensity) h = plotsphereIntensity(...) plots the intensity (as color) of a number of points on a unit sphere. Input: azimuth (phi), in degrees elevation (theta), in degrees intensity (optional, if not provided, a green sphere is produced) All inputs must be vectors or matrices of the same size. Data does not have to be evenly spaced. When there aren t enough points to draw a smooth sphere, additional points (with color) are interpolated. Output: h - a handle to the patch object The axes are also plotted: positive x axis is red positive y axis is green positive z axis is blue
標簽： plotsphereIntensity elevation azimuth intensity
上傳時間： 2014-01-15
上傳用戶：ruan2570406
基于PCA和LDA的人臉識別。％ Main function that reads in files, applies pre-processing, calls face ％ recognition algorithm, and then plots resulting accuracy.
標簽： pre-processing recognitio function applies
上傳時間： 2014-09-03
上傳用戶：jqy_china
This chapter contains sample programs for determining capacity. The reader is advised to go through the coding. The file "capacity_water.m" is for measuring the waterfilling capacity. It should be made to work with a file similar to "capacity_plot_main.m". The latter file deals with all the other capacity plots given in the book in Chapter 2. All programs are verified with MATLAB versions 6.0 and above with signal processing and communications toolboxes.
標簽： determining capacity contains programs
上傳時間： 2016-08-24
上傳用戶：yph853211
Add myaa.m to your path and enjoy anti-aliased professionally looking graphics in Matlab at any time. Myaa works with any kind of graphic (3-D, plots, scatterplots, ...) and even adds anti-aliasing to text, ui controls and grids. Myaa is ideal for complex, cluttered and saturated plots.
標簽： professionally anti-aliased graphics looking
上傳時間： 2016-09-22
上傳用戶：宋桃子
一種比較好的抗鋸齒算法 Add myaa.m to your path and enjoy anti-aliased professionally looking graphics in Matlab at any time. Myaa works with any kind of graphic (3-D, plots, scatterplots, ...) and even adds anti-aliasing to text, ui controls and grids. Myaa is ideal for complex, cluttered and saturated plots. See attached screenshot for a demonstration. More examples included in the code, just run help myaa . Curiosa: For those of you who publish your code often, an undocumented anti-aliasing option is included in the snapnow.m function in Matlab. To publish a file called test.m you can do: opts.figureSnapMethod = antialiased publish( test.m ,opts) However, you will have more control over the process using myaa, which is also the best choice when using Matlab interactively.
標簽： professionally anti-aliased graphics looking
上傳時間： 2016-09-28
上傳用戶：txfyddz
im2dat.m is used to convert images to data which can be plotted using the standard MATLAB functions. This is very handy if you have plots on hardcopy and you want to convert them into data that MATLAB can use. The scanned image can be analysed by this function and the output will allow you to perform any calculation/manipulations that MATLAB can perform, e.g. curve fitting.
標簽： functions standard convert plotted
上傳時間： 2014-12-07
上傳用戶：gdgzhym
WB_BPSK_Analysis.rar:BPSK modulation and link analysis of UWB monocycle and doublet waveforms.Revised 1/2/05-JC.This m file plots the time and frequency waveforms for BPSK 1st and 2nd derivative equations used in UWB system analysis.
標簽： WB_BPSK_Analysis modulation and monocycle
上傳時間： 2016-11-12
上傳用戶：邶刖
contains a document about antenna array fundamentals, equation for estimation of array parameters, antenna polar plots. etc
標簽： array fundamentals estimation parameters
上傳時間： 2017-04-13
上傳用戶：hopy
