Average Wages

Standardista Table Sorting is a javascript module that lets you sort a HTML data table by any column.The module has the following advantages: - The codebase has been tested across a large number of web browsers, and in the few that wond-deOaot allow the sorting to occur, the module degrades...

The function computes the psnr between two yuv videos. It considers the video signal as a whole and it doesn't average the psnr's of the single frames.You can compute the psnr between the Y, U, V or YUV parts of the yuv videos.The function supports different resolutions and the YUV-formats 4:0:0,...

This m-file implements a M-point moving average system.The equation is:y(n)=(x(n)+x(n-1)+.....+x(n-M))/M;M is the order of the M-point moving average system.Syntax:y=mpointaverage(input,order)The argument 'input' is the input sequence.The argument 'order' is T,the order of the M-point moving...


Platforms: Matlab

EZFFT(T,U) plots the power spectrum of the signal U(T) , where T is a 'time' and U is a real signal (T can be considered as a space coordinate as well). If T is a scalar, then it is interpreted as the 'sampling time' of the signal U. If T is a vector, then it is interpreted as the 'time' itself....


Platforms: Matlab

Five methods for converting a signal to a binary representation. Methods outlined in Arthur Petrosian, "Kolmogorov Complexity of finite sequences and recognition of different preictal eeg patterns".Methods are:1. average method: sample assigned 1 if above the signal average2. modified zone...


Platforms: Matlab

This program analyzes the performance of a voltage source inverter with Sinusoidal-pulse-modulated output, under different loading conditions.The inputs are:- The frequency of the output voltage waveform.- The modulation index.- The phase angle of the load.- The frequency of the carrier...


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

format : [huffcodes,H,Hav,e]=huffmancoding(p,n)inputs: p is the probability of each alphabet symbol( eg:p=[.3 .2 .2 .2 .06 .04] )n is an integer that determines number of symbols at each frame(default:n=1)outputs: huffcodes: huffmancodesH: source entropyHav: average entropy for codinge: codding...


Platforms: Matlab

This tool enhances signal detection for broad-mass TOF spectra by accounting for changing peak width and providing peak-shape-dependent filtering capabilities. A set of input TOF spectra is processed to produce aligned peak list and array of corresponding signal intensities. Signal processing...


Platforms: Matlab

This zip file contains three functions: dbm_to_vpp which converts dBm to a peak-to-peak voltage; dbmean which calculates the average or mean decibel value of two or more decibel quantities; and nextpow10 which returns the next higher power of 10 for a specified number.


Platforms: Matlab

While working with a histogram we may need to detect a peak or crest of the histogram.But the histogram contains a number of local minima & maxima which makes the histogram extremely uneven.While detecting a peak or crest we are intended to detect the global peak or crest.This code replaces every...


Platforms: Matlab

For vectors, Y = RUNMEAN(X,M) computes a running mean (also known as moving average) on the elements of the vector X. It uses a window of 2*M+1 datapoints. M an positive integer defining (half) the size of the window. In pseudo code: Y(i) = sum(X(j)) / (2*M+1), for j = (i-M):(i+M), and...


Platforms: Matlab

These are the files and some of the data that I used in my recent webinar on Algorithmic Trading. Data has been shortened for size reasons. Included are:MARISANearest Neighbour modelTrailing stop-loss codean illustration of Takens TheoremAlso included are Simulink models showing:Moving Average...


Platforms: Matlab

Measures of Analysis of Time Series (MATS) toolkit computes a number of different measures of analysis of scalar time series (linear, nonlinear and other statistical measures). It also contains pre-processing tools (transformations and standardizations), data splitting facility, resampled data...


Platforms: Matlab

The fitting of smooth curve through a set of data points and extention to this is the fitting of 'best fit' spline to a large set of data points which show the cerrent trend but which do not all lie above the curve. The method involves cluster analysis, that is, grouping the crude data into...


Platforms: Matlab

4 files are included in the package:(1) fs01.m - the 1st-order local linear approximation (LLA) very similar to algorithm by Farmer and Sidorowich (1987). Uses constrained linear least squares (lsqlin) and(2) ts1.m - to reconstruct the vectors of the state space.(3) Example.m - runs fs01 and ts1...


Platforms: Matlab

gaussianPlume Steady-state gaussian plume distribution model gaussianPlume models the dispersion of a continuous point source, i.e. plume, in various conditions and terrains. The output of gaussianPlume is a 3-dimensional matrix containing the concentrations of the emitted substance over a field...


Platforms: Matlab

Function for pricing basket option using Monte Carlo Simulation. You can specify if you want an American option. For American options, it follows LMS algorithm. You can choose to specify Averaging date, Average Price, Average type etc. asianbasket.m and europeanbasket.m are the files for pricing....


Platforms: Matlab

Performs neural spike pattern analysis on extracellular potentials acquired with TDT's System3 and OpenEx software.More on current functions:All-Order Inter-Spike Interval Histogram.Inter-Spike Interval Histogram for any order or combination of orders.First-Order Inter-Spike Interval...


Platforms: Matlab

AMI computes and plots average mutual information (ami) and correlation of univariate or bivariate time series for different values of time lag.USAGE: [amis corrs] = ami(xy,nBins,nLags)INPUT: xy: either univariate (x) or bivariate ([x y]) time series data. If bivariate time series are given then...


Platforms: Matlab