Rank: 300 based on 256 downloads (last 30 days) and 9 files submitted

Rob Campbell

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Files Posted by Rob				View all 1 - 5 of 9
Updated	File	Tags	Downloads (last 30 days)	Comments	Rating
30 Jun 2010	chalk Like a chalk board: write, erase, and re-write to the same screen line. No screen clearing. Author: Rob Campbell	progress text, progress	60	0
18 Jun 2010	rug plots Creates a so-called "rug" plot similar to those produced by the free stats package, R. Author: Rob Campbell	rug, plot, histogram, distribution, scatter plot	32	0
24 Feb 2010	notBoxPlot - alternative to box plots. This function visualizes raw (grouped) data along with the mean, 95% confidence interval, and 1 SD. Author: Rob Campbell	data exploration, box plot, plotting, error bars, statistics	15	2
22 Jan 2010	mat2im Convert 2D matrix to a 3D image matrix as used by the image processing toolbox Author: Rob Campbell	ind2rgb, colormap, conversion, image processing	22	6	5.0 5.0 \| 3 ratings
22 Jan 2010	labelEdgeSubPlots Automatically apply x and y labels to subplots only along the edges. Author: Rob Campbell	subplot, plotting, label	12	5	4.0 4.0 \| 1 rating

Comments and Ratings by Rob		View all 1 - 5 of 82
Updated	File	Comments	Rating
30 Jun 2010	Text progress bar This function creates a TEXT progress bar in your command window. Author: Paul	This is awesome! I've been looking for something like this for ages.
18 Jun 2010	Insertion Sort Insertion sort is a simple sorting algorithm in which the sorted array is built one entry at a time. Author: iso fault	?
16 Jun 2010	ImagePatchTool Patching technique for text/image without losing on the pixel information in the rest of the image. Author: Amitabh Verma	In the GUI, "make text label" results in an error: Error in ==> ImagePatchTool>pushbutton2_Callback at 203 seq(y)=unicode2native(t); Error in ==> gui_mainfcn at 96 feval(varargin{:}); Error in ==> ImagePatchTool at 43 gui_mainfcn(gui_State, varargin{:});
16 Jun 2010	Vuvuzela sound denoising algorithm This script implements a sound denoising algorithm in Matlab for vuvuzela sound cancelation. Author: Choqueuse Vincent	I'll give you 5* if you can tell me how to process the audio from the browser in real-time. :-)
15 Jun 2010	labelEdgeSubPlots Automatically apply x and y labels to subplots only along the edges. Author: Rob Campbell	Easy: H=labelEdgeSubPlots('X','WALL'); set(H.ylabels(1),'String','CENTRE')

Comments and Ratings on Rob's Files			View all 1 - 5 of 15
Updated	File	Comment by	Comments	Rating
15 Jun 2010	labelEdgeSubPlots Automatically apply x and y labels to subplots only along the edges. Author: Rob Campbell	GERMÁN	thank you very much!!!!
15 Jun 2010	labelEdgeSubPlots Automatically apply x and y labels to subplots only along the edges. Author: Rob Campbell	Campbell, Rob	Easy: H=labelEdgeSubPlots('X','WALL'); set(H.ylabels(1),'String','CENTRE')
15 Jun 2010	labelEdgeSubPlots Automatically apply x and y labels to subplots only along the edges. Author: Rob Campbell	GERMÁN	yes, I mean different rows should have different y labels. I have two rows and six columns.The top row has the name of "wall", the bottom row has the name of "center." I like that "wall" and "center" appear only in the first colunma (ylabel). if i<12 && mod(i,2)==1 subplot(2,6,(i/2+0.5)); loglog(freq([1:longi(i)],i),power([1:longi(i)],i),'b-'... ,freq([1:longi(i)],i),powerfit([1:longi(i)],i),'k-'); L2 = ['h = ' num2str(-B) ' m']; L3 = ['m = ' num2str(a1,3)]; title({L2;L3},'FontSize',8); elseif i>=12 && mod(i,2)==0 subplot(2,6,(i/2+1)); loglog(freq([1:longi(i)],i),power([1:longi(i)],i),'b-'... ,freq([1:longi(i)],i),powerfit([1:longi(i)],i),'k-'); L3 = ['m = ' num2str(a1,3)]; title({L3},'FontSize',8); end Best regards,
15 Jun 2010	labelEdgeSubPlots Automatically apply x and y labels to subplots only along the edges. Author: Rob Campbell	Campbell, Rob	Top and bottom of what? Do you mean different rows should have different y labels? If so, that is beyond the scope of this function because different people will have different requirements. However, I the function returns the handles to the x and y labels. It would be trivial for you to use those handles to further modify your sub-plots as desired. I think this is the "correct" way to do things.
15 Jun 2010	labelEdgeSubPlots Automatically apply x and y labels to subplots only along the edges. Author: Rob Campbell	GERMÁN	Dear Rob how would be the case: ylabel different in top and bottom in the subplot??

Top Tags Applied by Rob	1 - 5 of 26
plotting, image processing, plot, statistics, subplot

Files Tagged by Rob				View all 1 - 5 of 9
Updated	File	Tags	Downloads (last 30 days)	Comments	Rating
30 Jun 2010	chalk Like a chalk board: write, erase, and re-write to the same screen line. No screen clearing. Author: Rob Campbell	progress text, progress	60	0
18 Jun 2010	rug plots Creates a so-called "rug" plot similar to those produced by the free stats package, R. Author: Rob Campbell	rug, plot, histogram, distribution, scatter plot	32	0
24 Feb 2010	notBoxPlot - alternative to box plots. This function visualizes raw (grouped) data along with the mean, 95% confidence interval, and 1 SD. Author: Rob Campbell	data exploration, box plot, plotting, error bars, statistics	15	2
22 Jan 2010	mat2im Convert 2D matrix to a 3D image matrix as used by the image processing toolbox Author: Rob Campbell	ind2rgb, colormap, conversion, image processing	22	6	5.0 5.0 \| 3 ratings
22 Jan 2010	labelEdgeSubPlots Automatically apply x and y labels to subplots only along the edges. Author: Rob Campbell	subplot, plotting, label	12	5	4.0 4.0 \| 1 rating

Currently Watching
Type	Description
File	numSubplots - neatly arrange subplots
File	shadedErrorBar
File	Scalable Vector Graphics (SVG) Export of Figures
File	mat2im
File	labelEdgeSubPlots
File	Kalman filter for noisy movies
File	multimodality non-rigid demon algorithm image registration
File	plamovie
File	Least mean square
File	SLM - Shape Language Modeling
File	Overlay 2 matrices in an imagesc-like plot
File	Anovarep
File	Edit .m files in Emacs
File	Number of classes
File	real2rgb & colormaps
File	notBoxPlot - alternative to box plots.
File	Low Pass Butterworth Filter
File	Efficient subpixel image registration by cross-correlation
File	Neuron counting
File	Fast 2-D convolution
File	rug plots
File	Seed generator using 'current' World Population count
File	chalk
Search	-author:Marco

Files Matching Rob's Watch List				View all 1 - 5 of 1018
Updated	File	Tags	Downloads (last 30 days)	Comments	Rating
30 Jul 2010	Column Converter for Excel Convert Excel column letters to numbers or vice versa, for processing data to/from XLSREAD/XLSWRITE. Author: Kevin Crosby	data import, data export, excel	7	0
30 Jul 2010	Set functions with multiple inputs Intersectm, ismemberm, setdiffm, setxorm, unionm with multiple inputs. Ex: intersectm(a,b,c,…). Author: Oleg Komarov	setxor, input, union, intersect, multiple, set	7	0
30 Jul 2010	nsumk Returns a listing of n-tuples of non-negative integers adding up to k Author: Peter Cotton	polynomial, nchoosek, lexicographic, moments, sum, combinatorics	4	7	2.0 2.0 \| 1 rating
30 Jul 2010	Quadrature phase shift keying its qpsk modulation Author: Deepak	qpsk, demodulation, modulation	11	0
30 Jul 2010	Calculation of fractal dimension using Bouglian-Minkowski and Box-counting method You will find two ways to calculate the fractal dimension of a 3 dimensionals object(.img or .nii). Author: Izard Edouard	fractal dimension, texture analysis, medical application, computer vision, image processing	11	0

Comments and Ratings Matching Rob's Watch List			1-5 of 275
Date	File	Comment by	Comments	Rating
30 Jul 2010	SLM - Shape Language Modeling Least squares spline modeling using shape primitives	Royi Avital	John, Thank you for your response. I will cite as you advised me to. I'll try to have a look at De Boor's book. I just wanted the solid math behind the tool. Hopefully I'll get from there. One day, If you do write an article or notes about it I'd be happy to read and learn. Thank you.	Comment only
30 Jul 2010	SLM - Shape Language Modeling Least squares spline modeling using shape primitives	John D'Errico	I wish I had written a paper on this topic years ago when I wrote the first version of this tool. I did not do so then, although I have given a few talks on the underlying modeling philosophy of these tools. The basic idea is simply that of a least squares spline, augmented by a smoothness penalty like a smoothing spline. The smoothness penalty solves the problem of arbitrary (poor) knot selection in many cases. General least squares splines are covered in depth in the literature, as are smoothing splines. For these fundamental ideas, de Boor is of course the classic reference, a book worth reading for any user of splines. What the SLM tools add though is something that I've never really seen written about in the literature. This is the idea that intelligently chosen constraints on the curve shape can act as a strong, useful regularizer on your result. They allow you to build your own knowledge about a system into the model, using a simple vocabulary to describe the desired shape of that curve. I wrote these tools after some years of seeing people using strange nonlinear regression models to fit curves, just because they needed a curve with a given shape. So the user picks some nonlinear sigmoidal form, a Gaussian, etc., for no better reason than that it fits some fundamental desired shape. And of course, nonlinear regression has its own problems, like poor starting values, lack of convergence, etc. Worse, the user finds that the curve shape they chose is not really the correct shape, so they end up with significant lack of fit. Once a viable tool becomes available to fit those curves, I find that far fewer people end up using nonlinear regression models for the wrong reasons. There are a couple of files that discuss some of these ideas "slm_tutorial.html" and "shape prescriptive modeling.rtf" in the zip file, but that is all I can offer. We also suggested a citation format for tools from the file exchange, if you do need an explicit reference. You can find our recommendations here: http://matlabwiki.mathworks.com/Citing_Files_from_the_File_Exchange	Comment only
30 Jul 2010	SLM - Shape Language Modeling Least squares spline modeling using shape primitives	Royi Avital	Is there any article which could be used as reference to this kind of fitting? I'd like to use this tool in my project and would like to back it up with some background info. Thanks for this amazing tool.	5
29 Jul 2010	multimodality non-rigid demon algorithm image registration non-rigid 2D and 3D image registration with demon (fluid) algorithm, extended with modality transf.	Cheng Lu	What a perfect work~~~ I try it and foud that the gradient of the image is calculated as [My,Mx]=gradient(M); But why you want to inverse the x and y? Since normally we use [Mx,My]=gradient(M); Maybe it is related to your 'Movepixels' function? Your implemntation is based on the additive Demons, do you have any idea to add a compositive Demons? How do we calculate the composition of fields in Matlab? Thanks.	5
26 Jul 2010	Efficient subpixel image registration by cross-correlation Registers two images (2-D rigid translation) within a fraction of a pixel specified by the user.	Alex	Re: my comment on 14 Jul 2010: I owe an apology. It seems at the point when I wrote my comment I was feeding an accidentally reshaped array into the code. Because of the artifacts in my data, it caused a wrap around artifact in the output (and the registration worked in one axis only, but I didn't notice because that happened to be the axis containing almost all of the shifts). Great code - no resrvations! Thanks much. --Alex.	5