Mean Median Mode Worksheets

Median is a simplified document management system. Organizing your documents shouldn't be hard, so Median makes the task easy. With a simple interface for tagging, versioning, and storing documents, Median can help you organize hundreds or thou

This application uses the worksheets based on standardized worksheets of the methods to control oil wells after the occurrence of kick during drilling operations on floating rigs with subsea stack and rigs with surface stack. This app is great

Weighted Median Filter:It is same as median filter, only difference is the mask is not empty. It will having some weight (or values) and averaged.The steps to perform weighted median filtering are as follows:1) Assume a 3x3 weighted mask.2) Place the mask at the left hand corner.3) After...


Platforms: Matlab

>> Y = cummean(X,DIM);if X is MxN, Y is also MxN. To illustrate the functionality, lets assume X is a 1xN vector. Then, Y is a 1xN vector where the n-th entry in Y is given by mean(X(1:n)). So, Y(end) = mean(X), and Y(1) = X(1). cumvar works in the same way, and this can be done on an arbitrary...


Platforms: Matlab

FASTRMS Instantaneous root-mean-square (RMS) power via convolution.FASTRMS(X), when X is a vector, is the time-varying RMS power of X, computed using a 5-point rectangular window centered at each point in the signal. The output is the same size as X and contains, for each point in X, an estimate...


Platforms: Matlab

This software has been realized at the Technology Lab, Department of Cognitive and Neural Systems, Boston University - http://techlab.bu.edu. The main author of the software is Praveen Pilly ( http://techlab.bu.edu/members/advait/ ).How does the brain make perceptual decisions? Speed and accuracy...


Platforms: Matlab

A skyhook surface sliding mode control method was proposed and applied to the control on the semi-active vehicle suspension system for its ride comfort enhancement. A two degree of freedom dynamic model of a vehicle semi-active suspension system was given, which focused on the passengerd-deOaos...


Platforms: Matlab

Convert a specified Julian Date Vector to Greenwich Mean Sidereal Time (GMST). The expected input matrix may contain multiple dimensions. The output matrix will be in the same size as the input matrix. Warning: Use caution when using GMST as a substitute for Greenwich Apparent Sidereal Time...


Platforms: Matlab

This code determines the mean first passage time (MFPT) of an Ornstein-Uhlenbeck process from analytical solutions obtained from M.U. Thomas (1975), S. Sato (1977), and S. Sato & M. Ricciardi (1988) (all articles published in J. Appl. Prob.).Note that this code yields a dimensionless MFPT (i.e....


Platforms: Matlab

Clusters data using the Mean Shift Algorithm. testMeanShift shows an example in 2-D. Set plotFlag to true to visualize iterations.


Platforms: Matlab

AGM calculates the Artihmetic Geometric Mean of A and B (see [1]).The function is used in routines ELLIPJ and ELLIPTIC12.[A,B,C,N] = AGM(A0,B0,C0,TOL)carry out the process of the arithmetic geometric mean, starting with a given positive numbers triple (A0,B0,C0) and returns in (A,B,C) the...


Platforms: Matlab

CMIF - Complex Mode Indicator FunctionInputs:H - full complex H matrix (Frequency Response Function) including at least 2 reference points measurements:[number of frequency points x number of DOF x number of reference points]W - frequency vector [Hz]Reference:D.J. Ewins, "Modal Testing: Theory,...


Platforms: Matlab

The adaptive median filter is discussed in recent designline article about embedded MATLAB blockhttp://www.dspdesignline.com/howto/207800676Also attached is a power point presentation that explains the concept of serialization which is an important design consideration when implementing such an...


Platforms: Matlab

MEDIAN_POLISH(X) fits an additive model to a 2D input matrix, X, assuming a decomposition of (constant + rows + columns).Median polishing is useful for removing spatial trends in the data by alternately removing medians from the rows and columns of the data. The algorithm proceeds as follows....


Platforms: Matlab

R= ALLSTATS(A) returns a structure R with several statistics of vector A. A grouping factor can be given in an optional vector. In that case all the statistics will be calculated per group. The stats calculated (returned as fields of R) are:R.min= minimumR.max= maximumR.mean= meanR.std= standard...


Platforms: Matlab

B = HMF(A,N) performs hybrid median filtering of the matrix A using a NxN box. Hybrid median filtering preserves edges better than a NxN square kernel-based median filter because data from different spatial directions are ranked separately. Three median values are calculated in the NxN box: MR is...


Platforms: Matlab

I just need to simply plot the 5 and 95 percentile as well as mean.The cross mark implies median.


Platforms: Matlab

This function implements approximately median unbiased (MU) estimation of the AR(p) model following Andrews, D.W.K and H.-Y. Chen (1994), "Approximately Median-Unbiased Estimation of Autoregressive Models," Journal of Business & Economic Statistics, 12(2), 187-204.No toolboxes are required.


Platforms: Matlab

Calculates the geometric mean of a vector X (first argument) weighted by the values of another vector W (second argument). It may be already available, but I didn't find it, so here it is, just in case.


Platforms: Matlab

Mode function for MATLAB 6.1 or aboveSyntax: [mode,modal,times] = ms_modal(x);where :x is the 1-D input array consisting of REAL numbers, in either row or columnar form modal is the output which consists of the numbers appearing in array x. It has each number once only. This is not sorted.times...


Platforms: Matlab