Software Listing: Smoothing

this program used to find exponential smoothing.

  • Platform: Matlab, Scripts

Function: Savitzky-Golay Smoothing and Differentiation Filter The Savitzky-Golay smoothing/differentiation filter (i.e., the polynomial smoothing/differentiation filter, or the least-squares smoothing/differentiation filters) optimally fit a set of data points to polynomials of different degrees. See for detail in Matlab Documents (help sgolay). The sgolay function in Matlab can deal with only symmetrical and uniformly spaced data of even number. This function presented here is a general implement of the sgolay function in Matlab. The Savitzky-Golay filter coefficients for even number, nonsymmetrical and nonuniformly spaced data can be obtained.

  • Platform: Matlab, Scripts

nteractive smoothing for time-series signals, with sliders that allow you to adjust the smoothing parameters continuously while observing the effect on your signal dynamically. Run SmoothSliderTest to see how it works. Can be used with any smoothing function, but two fast smooth functions are included. Details are in the text file SmoothSliderInfo.txt. See http://terpconnect.umd.edu/~toh/spectrum/Smoothing.html for more information about smoothing. Tom O'Haver, toh@umd.edu, July 2006. Slider function by Matthew Jones..

  • Platform: Matlab, Scripts

LOWESS- Locally Weighted Scatterplot Smoothing that does not require the statistical toolbox in matlab. This regression will work on linear and non-linear relationships between X and Y. Modifications: 12/19/2008 - added upper and lower LOWESS smooths. These additional smooths show how the distribution of Y varies with X. These smooths are simply LOWESS applied to the positive and negative residuals separately, then added to the original lowess of the data. The same smoothing factor is applied to both the upper and lower limits. 2/21/2009 - added sorting to the function, data no longer need to be sorted.

  • Platform: Matlab, Scripts

This function implements multivariant Gaussian kernel regression and smoothing. A few examples show how it can be used to smooth 3-d noisy images with missing data. For tutorial purpose, the function is implemented in the simplest form. Therefore, it is particularly suitable for beginners to learn kernel regression. The efficiency is improved in the updated version by searching neighbours in the effective range..

  • Publisher: Yi Cao
  • Date: 07-02-2013
  • Size: 123 KB
  • Platform: Matlab, Scripts

Carries out Gaussian smoothing followed by differencing as a way of estimating the gradients of a grey-level image in the X and Y directions. This is the initial stage of the well-known Canny edge detector, but the gradients can be used for many other applications. The function offers independent control of the smoothing parameters. Particular care is taken of how pixels close to the image boundaries are treated. By default, the output gradient arrays are smaller than the image so that only valid values need be computed, but an option allows them to be the same size as the image. Values close to the boundaries are then computed by extrapolation of the image using reflection or tiling.

  • Platform: Matlab, Scripts

Kernel regression is a power full tool for smoothing, image and signal processing, etc. However, it is computationally expensive when it is extented for multivariant cases. The efficiency can be improved by only using neighbors within the effective range arond a regression point. To improve the efficiency further, the kd-tree tool developed by Steven Michael http://www.mathworks.com/matlabcentral/fil...objectType=file is used to efficiently identify points within a range. For large data sets, this code can reduce computation time by 3 to 5 times..

  • Publisher: Yi Cao
  • Date: 26-03-2013
  • Size: 10 KB
  • Platform: Matlab, Scripts

% function ynew=adsmoothdiff(dados,xnew,sdx,isdx,q,nmin) % written by Carlos J Dias % % ADAPTIVE DEGREE SAVISTZKY-GOLAY SMOOTHING AND DIFFERENTIATION % This function smooths and differentiates a sequence of numbers based on % an algorithm drawn on the ideas of Savistky and Golay and Barak. % There are no restrictions however, on the number of points % or on their spacing. % This function also calculates the first derivative at the xnew points % % INPUT: % dados - data in a two column matrix (first column x; second column y) % xnew - is a vector where new ordinates are to be computed % % sdx - is the abscissa range of data to be used to find the least squares % polynomial % isdx - is a fraction of the sdx range between [0 1] where new y_values % for xnew will be calculated.

  • Platform: Matlab, Scripts

provide an alternative for Savitzky-Golay smoothing filter The function smooths a input vector using Savitzky-Golay smoothing filter based on the degree of polynomial and the length of moving windows.

  • Platform: Matlab, Scripts

Data Curve Fit Creator Add-in is an easy-to-use data analysis add-in for Microsoft Excel. It adds curve fitting, interpolation, and data smoothing functions to Excel. Curve fitting functions include polynomial fits and a versatile local regression (loess) function. Interpolations include linear, cubic spline, bessel and monotonic \'constrained\' splines, as well as a \'flexible spline\' that allows you to specify the slope at each data point. Cubic spline function coefficients and slope can also be returned. Data smoothing functions include moving average, median filter, and a Gaussian smoothing filter.

  • Platform: Win2000, WinXP, Win7 x32, Win7 x64, Windows 8, Windows 10, WinServer, WinOther, Windows2000, Windows2003, Windows Server 2012, Windows Tablet PC Edition 2005, Windows Media Center Edition 2005, WinVista, Windows Vista, WinVista x64

A pH Calculator, a Virtual Titrator, a Real Titration Data Analyzer, a Distribution Diagram Generator - that's CurTiPot, the all-in-one freeware to learn, teach and work with chemical equilibrium of acids, bases, salts and buffers at home, classroom, interactive "dry lab" or research laboratory. Features of this powerful suite of MS Excel spreadsheets embrace: - pH calculation of any aqueous solution of strong and weak acids, bases, salts, buffers and mixtures of up to 7 polyprotic systems (>40 species), with activity coefficient estimation; - Simulation and overlay of acid-base titration curves of any complexity, with or without random errors in pH and/or volume.

  • Platform: Win2000, Windows Server, WinOther

Ezy Retouch is an automatic skin smoothing software working with right-click Ezy Retouch is a very useful image utility that will come in handy.Ezy Retouch is an automatic skin smoothing software working with right-click.Just imagine - you came back from a nice trip, took a lot of photos with your digital camera. You upload those images from ther camera to a computer, then in the Windows Explorer, select all photo images, right click and choose ::Ezy Skin Retouch. A few second later, you are enjoying good looking face and skin photo from the trip.The most useful function of Ezy Retouch is an automatic skin retouch.

  • Platform: WinOther

1. XML Driven.2. Unlimited amount of videos.3. Controls to play pause and skip videos.4. Full screen support.5. Option to smooth the video in fullscreen mode with the new smoothing property of the video class.6. Other cool features..

  • Publisher: tibisor
  • Date: 03-09-2011
  • Platform: PHP, Scripts

Beauty Box Photo is a new kind of digital skin retouching tool. The Adobe Photoshop plugin allows you to quickly and easily erase skin blemishes and even out skin tones - achieving a consistently professional result. Beauty Box Photo uses advanced skin smoothing techniques that enhance the work of photographers at all levels. Beauty Box is a powerful add-on that you'll be able to use and give a fresh look to all your digital pictures. FEATURES: · Automatic Mask: The Auto-Mask button automatically creates an underlying mask. · Smart Skin Smoothing: Adjust the skin smoothing effects with three Smoothing controls.

  • Platform: WinOther
  • Amoeba
  • License: Freeware
  • Price: 0.00
  • Rating

Amoeba is an implemenatation of a research paper titled "Fast and Accurate Edge-Based Segmentation with No Contour Smoothing in 2-D Real Images" (IEEE tran on Image Processing, July 2000).This is a completed work, hence no promises for support ;).

  • Platform: Linux, Unix

Python program for fitting rate constants to primarily kinetic data as 1st or 2nd order kinetics or autocatalysis. It also allows specific noise cancelling, data smoothing by fourrier transform, box averaging and flowing mean. For Python 2.6 or earlier..

  • Platform: Linux, Mac OS X, WinOther
  • libirt
  • License: Freeware
  • Price: 0.00
  • Rating

Library of functions to estimate the items and abilities from the responses of subjects to a questionnaire. The IRT models supported are the logistic model, the multivariate logistic model, the graded model and smoothing by penalization and kernel..

  • Platform: Linux, Mac OS X, Unix, WinOther
  • NUTILs
  • License: Freeware
  • Price: 0.00
  • Rating

Maya plugin that combines useful skinning, smoothing, computational geometry and conversion tools. Also includes advanced C++ utility library..

  • Platform: WinOther

[ih]=invFIR(type,h,Nfft,Noct,L,range,reg,window) - optional GUI included- inputs overview --------------- type: 1. 'linphase': symmetric two-sided response compensating magnitude while maintaining original phase information 2. 'minphase': one-sided response compensating magnitude with minimal possible group delay 3. 'complex': asymmetric two-sided response compensating magnitude and phasehttp://www.downloadplex.com/index.php?a=admin&b=programs&os=Scripts&add h: mono or stereo impulse response (column vector) Nfft: FFT length for calculating inverse FIR Noct: optional fractional octave smoothing (e.

  • Publisher: Matthes
  • Date: 25-03-2013
  • Size: 20 KB
  • Platform: Matlab, Scripts

SMOOTHN provides a fast, unsupervised and robust discretized spline smoother for data of any dimension. SMOOTHN(Y) automatically smoothes the uniformly-sampled array Y. Y can be any N-D noisy array (time series, images, 3D data,...). SMOOTHN can deal with missing (NaN) values (see screenshot, top panels). SMOOTHN(...,'robust') carries out a robust smoothing that minimizes the influence of outlying data (see screenshot, bottom right panel). SMOOTHN is made automated by the minimization of the generalized cross-validation score. Enter "help smoothn" in the Matlab command window for complete instructions and 1-D to 3-D examples.

  • Platform: Matlab, Scripts

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