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updated 3 years ago

Vold-Kalman order tracking code by Scot McNeill

Separates system orders from single channel of rotating machinery data. (automotive, signal processing, data exploration)

[Sxx_m,freq,time]=p_gram(varargin)

hann_p(npt)

spec_plot2(varargin);

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updated 3 years ago

FilterM by Jan Simon

A faster FILTER and FILTFILT: Speedup factor 2.5 to 25 (signal processing, cmex, filter)

FiltFiltM(b, a, X, Dim)

FilterM(b, a, X, Z, Dim, Reverse)

uTest_FiltFiltM(doSpeed)

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updated 3 years ago

Loader of a .txt file to a MATLAB matrix by Luka

Loads a content of a .txt file and stores it in a MATLAB matrix (data import, signal processing, matrix)

txt2mat(data)

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updated 3 years ago

Extrimely fast general n-dimensional interpolators by Quant Guy

Mex C++ interpolator routines for general pp-forms in any dimension. Multithreaded. (interpolation, ppform, mex)

InterpTests(nSites,nLoops)

Results

docs

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updated 3 years ago

tf2tex by James Slegers

Creates a Tex string based on a transfer function object (control design, data export, tf)

tf2tex(tran)

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updated almost 4 years ago

Function to generate Timeseries file to use for Moore FSM coverage analysis. by Paul Metcalf

This function generates a Timeseries file which can be used for Moore FSM coverage analysis. (control design, data import, demo)

generatetestdata(i)

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updated 4 years ago

Structure Cut by Sean Bryan

Utility function that applies the same cut to specified elements of a structure. (signal processing, structure, struct)

struct_cut( in, field_arr, indices )

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updated 4 years ago

image processing-zooming an image using Bilinear interpolation by Dimuthu Senanayaka

Bi linear interpolation method has been used here for zooming images by a positive integer factor. (image processing, mathematics, matrix)

bilinear_zoom(file,fac)

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updated 4 years ago

Estimated time analysis by Stratis Gavves

A function that estimates the remaining and the total time inside loops. (estimated, time, analysis)

eta(cur, tot, printIt)

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updated 4 years ago

mex_rref by Ben Mitch

Same functionality as the MATLAB rref function, but quicker. (image processing, signal processing, communications)

mex_rref(A, tol)

mex_rref_sub(varargin)

mex_rref_demo.m

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updated 4 years ago

plotXmatrix.m by Joshua Carmichael

Plots data on separate y-axes (plot, time series, signal processing)

[dataout,varargout]=plotXmatrix(data,varargin)

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updated 4 years ago

xcorAlign.m by Joshua Carmichael

Shifts data by maximum cross correlation (cross correlation, circularly shifting, matrix)

[y,varargout]=xcorAlign(x)

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updated 4 years ago

normColumns.m by Joshua Carmichael

normalizes matrix columns (normalization, time series, signal processing)

[Wout,varargout]=normColumns(W)

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updated 4 years ago

Kalman filter by Salil Banerjee

This is an implementation of a Kalman filter for a two-variable, constant velocity-model. (kalman filter, mathematics, signal processing)

KalmanFilter(Data,T,X0,Y0,GTData,...

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updated 4 years ago

MATLAB Programming Example for U2500A USB Modular Data Acquisition (DAQ) module’s Analog Input by Neo

This program sets the USB DAQ module to sample immediately without waiting for a trigger signal (aerospace, automotive, biotech)

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updated almost 5 years ago

ConvolveGUI by Erik Cheever

A GUI for graphically demonstrating the convolution process. (filter design, filter analysis, convolution signals)

ConvolveAnimParam(varargin)

ConvolveFuncs

ConvolveGUI_fig(varargin)

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updated almost 5 years ago

Normalized Mutual Entropy by Abdool Yasseen

Computes diversity over a 2D matrix by normalized mutual entropy. (matrix, data exploration, signal processing)

NME.m

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updated 5 years ago

Curve intersection by Johan Rønby

Finds intersections of two piecewise linear plane curves. (data exploration, mathematics, interpolation)

cint.m

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updated 5 years ago

ScaleTime by Jan Simon

Fast linear interpolation of equally spaced data (C-MEX and M) (interpolation, linear, lookup)

ScaleTime(Y, Ti, Tf, Tn)

TestScaleTime(doSpeed)

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updated 5 years ago

Variable cardinality bookkeeping functions by Edmund Brekke

These four functions makes it easy to work with lists of sets with variable cardinalities. (cardinality, filtering, signal processing)

begInd2TCloud(begInd,nElement)

endInd2TCloud(endInd)

tCloud2BegInd(tCloud)

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updated 5 years ago

Gaussian Pyramid by Pranam Janney

Generates a gaussian pyramid for the given input image (image processing, mathematics, data import)

Gscale(img,levels,gsize,sigma);

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updated 5 years ago

click2smooth.m v1.0 (Sep 2009) by Carlos Adrian Vargas Aguilera

Smooths data by clicking on the figure. (gui, signal processing, smooth)

click2smooth(varargin)

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updated 5 years ago

imagescnan.m v2.1 (Aug 2009) by Carlos Adrian Vargas Aguilera

Same as IMAGESC but ignores NaNs. (specialized, plotting, imagesc)

imagescnan(varargin)

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updated 5 years ago

Non Convex Algorithms for Group Sparse Optimization by Angshul Majumdar

Reweighted Lm,p algorithm Smoothed L2,0 algorithm (image processing, simulation, signal processing)

GenGroupSparseProblem(m, n, nGroups, activeGroups)

GenerateProblem(channel_length, pilot_length, channel_spa...

l2p_re(A,y,p,group)

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updated 5 years ago

nanderivative.m v2.1 (Jul 2009) by Carlos Adrian Vargas Aguilera

N-order derivative of vector data by interpolating nearby points, ignoring NaNs. (approximation, interpolation, diff)

nanderivative(Y,X,N,K,MET)

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updated 5 years ago

Thin Plate Spline Network with Radiohead Example by Travis Wiens

Thin plate splines can be used to interpolate nonuniform data, such as the Radiohead dataset, which (approximation, interpolation, thin plate spline)

[a, xc]=train_thin_plate_spline(x,y)

y_hat=sim_thin_plate_spline(x,x_c,a);

tps_radiohead_example.m

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updated 5 years ago

interpsinc.m by Michael Minardi

This M-File interpolates a sampled function using sin(x)/x (approximation, interpolation, interpolate)

interpsinc(xi,f,varargin)

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updated 5 years ago

progress bar by Giuliano Langella

This function print on your command window a handmade progress bar. (progress, bar, loop)

progress_bar(i, tot, str);

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updated 5 years ago

smooth2a by Greg Reeves

Smooths a 2D matrix using a mean filter over a user-defined rectangle. Ignores and preserves NaNs. (2d, approximation, interpolation)

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updated 5 years ago

Orthogonal Least Squares Algorithms for Sparse Signal Reconstruction by Angshul Majumdar

Greedy Algorithms for Underdetermined but Sparse Solutions (image processing, simulation, signal processing)

A=matrix_normalizer(B)

GenSig(n, k)

OLS(A, y, m, err)

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updated 5 years ago

Orthogonal Least Squares Algorithms for Sparse Signal Reconstruction by Angshul Majumdar

Greedy Algorithms for Underdetermined but Sparse Solutions (optimization, signal processing, simulation)

A=matrix_normalizer(B)

GenSig(n, k)

OLS(A, y, m, err)

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updated almost 6 years ago

fastsearch by Valentin Kuklin

Search an element in the array, or the next smaller and greater (approximation, interpolation, array)

fastsearch.m

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updated almost 6 years ago

evaluating SHORT TIME FOURIER TRANSFORM of a stationary signal by payel mukherjee

the STFT of a nonstationary signal taking highly overlapping rectangular window. (rectangle, signal processing, matrix)

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updated almost 6 years ago

Image Processing Subset by Anthony Gabrielson

I have started to write a subset of the Image Processing toolbox. (signal processing, image processing, data export)

buildMex(filename, enblDbg)

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updated 6 years ago

fitgaussian by Mehmet OZTURK

fit a gaussian like curve to data (approximation, interpolation, gauss)

extreme.m

fitgaussian.m

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updated almost 7 years ago

Piecewise cubic interpolation by Orlando Rodríguez

Code to interpolate function values and corresponding derivatives. (approximation, interpolation, derivatives)

pcinterp( x, y, xi, stype )

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updated 7 years ago

fractional differentiator by Farshad Merrikh bayat

This function calculates the fractional differentiate of a given input signal. (signal processing, fractional differenti..., derivative)

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updated almost 8 years ago

Random number generation by Paul de Wit

Function which generation n random numbers between 0 and 1 (approximation, interpolation, random)

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updated 8 years ago

Jitter by Richie Cotton

Adds a small amount of noise to an array. Ideal for signal processing or chaos theory. (jitter, random, noise)

jitter(x, factor, uniformOrGaussianFlag, smallOrRangeFlag...

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updated almost 9 years ago

Alamouti Space-Time Code by Massimo Allegritti

A function that simulate the Alamouti Space-Time code. (wireless, alamouti, space)

H=rey(Nt,Nr)

ber_ml=Alamoudi(snr,soglia);

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updated almost 9 years ago

naninterp by E. Rodriguez

One dimensional Interpolation over NaNs. (matrices, nan, nans)

naninterp(X)

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updated 9 years ago

ortho_poly.m (Chebyshev polynomials) by Balajee Ananthasayanam

Evaluates chebyshev polynomials with vector arguments for vector arguments x. (approximation, interpolation, chebyshev)

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updated almost 10 years ago

Obs. from Arbitrary PDF by Dave Dykes

Generate a sample from an arbitrary PDF. (approximation, interpolation, random)

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updated almost 10 years ago

Points Inside polygone by Per Sundqvist

Finds those points (xi,yi) who are inside the polygon, defined by the vectors (x,y) (approximation, interpolation, 2d contour)

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updated almost 10 years ago

smooth2 by Kelly Hilands

Smooths the data in a 2D matrix with a user-defined resolution. (approximation, interpolation, 2d)

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updated almost 10 years ago

polyvac by Vassili Pastushenko

Vectorized "polyval" for columns of a matrix (approximation, interpolation, polynomial values)

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updated 10 years ago

submat by Graham Akroyd

Generates a sub matrix of a multidimensional array by interpolation of the independent variables. (matrices, sub, matrix)

submat(mx,dim,ivvals,rval)

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updated 10 years ago

Fast Deconvolution by Stephen McGovern

Deconvovles one extremely large vector out of another extremely large vector, in reasonable time. (dsp, deconvolution, deconvovles)

[x]=fdeconv(y, h)

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updated 10 years ago

Generator of Image in DSP Memory by Ruben Conde

For use in project of image processing in dsk6711. (hardware targets, format image, dsk6711)

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updated almost 11 years ago

Pade' Approximant by Greg von Winckel

Computes coefficients of Pade' Approximants to symbolic functions. (approximation, interpolation, rational)

pade(f,N);

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