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This script applies the Maximum Correlation Cross on SST images, to estimate the superficial ocean currents



The attached Matlab file estimate numerically the probability of error for M-array orthogonal signals and plot the graph BER for M-signals [2 to 64].

Numerical estimation is performed on the probability of error equation derived in...



This program converts the noise sidebands to power, adds in an estimate of the power for CW spurs, then calculates the jitter from this. It is not really exact, but it is simple and allows for an easy estimate of the jitter and phase noise without...



This GUI uses a constant relative volatility (alpha) to estimate the equilibrium curve. From there, the GUI uses the "McCabe and Thiele Graphical Method" to estimate the ideal number of plates in the column.

A reference is...



Estimate the matrix W t.q.

Frob(I-A*W) =0

using the Frobenius norm

W = like inv(A)



The extended Kalman filter can not only estimate states of nonlinear dynamic systems from noisy measurements but also can be used to estimate parameters of a nonlinear system. A direct application of parameter estimation is to train artificial...



09 Mar 2008 (Updated 08 Apr 2010)

An estimate of probability density function of the given random data with bounded support.



a function to define the coordination of your own subplot axes
you'd better estimate the input to assure not exceed the figure;
this function is similar to the subplot(row,col,i)
i is the ith subplot



Bivariate Kamma Kernel Density Estimate
for large data set



About the GAME:

Objective: To estimate the Space-Filling Curve's Area?
Hint: Space-Filling Curve connects all the points.



Estimate LDL cholesterol based on measured total cholesterol (TC), HDL, and triglycerides (TG).
The function 'estimateLDL(TC, HDL, TG, InputUnits)' provides an estimate for the LDL cholesterol on measured total cholesterol (TC), HDL...



Compute estimate Peak Sidelobe Level and Integrated Sidelobe Level and Merit Factorofat at different complex communication signals of their Autocorrelation function and in case partially minimize bounds on the volume of ambiguity function.In base...



Miraculously, you can estimate ? just by counting the number of iterations for a point near the neck to escape. The method has a rigorous error bound.



In many practical signal processing problems, the objective is to estimate from measurements a set of constant parameters upon which the received signals depend.
For example, high-resolution direction-of-arrival (DOA) estimation is important...



The goals of this project are to:
o Used ERA to investigate/estimate model order (degree) and State Space Model
o Compare Power Curves of identified model and Manufactures specifications
o Estimated/predicted output power based on...



Sometimes it is important to be able to estimate the peak of a sampled continuous function between the samples. This is called subsample peak interpolation and is used in radar, delay estimation, and communication. Typically one fits a model to...



This function applies the Delaunay-based image segmentation, which is a fully automated process that does not require initial estimate of number of clusters.

The core idea is to apply Delaunay triangulation to the image histogram...



[ADDITION_1]
This enhanced version of regstats has implemented several methods to estimate robust standard errors for coefficients:

- HC0: White robust t statistics (Eicker,1963,1967; Huber,1967; White,1980)
- HC1: With dfe...



The function will estimate
Estimate Mutual Information with kernel density function



This function was developed for nonparametric estimation problems where the estimate must satisfy some shape constraint. Our standard example of this is using a kernel density estimator, with the constraint that the estimate can have only one...