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This programme estimates the parameters in nonlinear mixed effects growth/degradation models by means of ML estimation. S-plus uses this same function that was established by J. Pinheiro & D. Bates. This submission was made to update my e-mail address.



Simple implementation of [1] with small modification. Hopefully this is going to help beginners in speech/audio signal processing.

[1] X. Zhu, G. T. Beauregard and L. L. Wyse, "Real-Time Signal Estimation From Modified Short-Time...



Online Simulation of Brownian motion in 2d, 3d. Stock Simulation with EWMA, GARCH(1,1). One factor equilibrium interest rate model simulations, estimation and residual testing using Euler's appr. Monte Carlo option pricing with stochastic interest...



CONTROLLER DESIGN FOR TIME DELAY SYSTEMS,THIS PROGRAMME IDENTIFY A THIRD ORDER PLANT INTO FIRST AND
SECOND ORDER EQUIVALENT AND DESIGN THE PID(Z-N,DIRECT SYNTHESIS)/DHALIN/ DEADBEADT CONTROLLERS.
ONLINE ESTIMATION OF PLANT INTO FIRST AND...



The two-step noise reduction (TSNR) technique removes the annoying reverberation effect while maintaining the benefits of the decision-directed approach. However, classic short-time noise reduction techniques, including TSNR, introduce harmonic...



Fast bispectrum (dll optimized) estimation



Introduction to Stochastic Search and Optimization is an overview of the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics, and computer science. The book may serve...



Computes BER v EbNo curve for convolutional encoding / soft decision Viterbi decoding scheme assuming BPSK.

Brute force Monte Carlo approach is unsatisfactory (takes too long) to find the BER curve.

The computation uses a...



The MUSIC algorithm, proposed by Schmidt, first estimates a basis for the noise subspace and then determines the peaks the associated angles provide the DOA estimates.
The MATLAB code for the MUSIC algorithm is sampled by creating an array of...



Non-parametric regression is widely used in many scientific and engineering areas, such as image processing and pattern recognition.

Non-parametric regression is about to estimate the conditional expectation of a random variable:



The main program is MAIN.m

This program will estimate the single source points present in the
instantaneous mixtures and using the estimated single source points the mixing matrix will be estimated. Then the error in mixing...



Set of Matlab scripts for efficiently implementing Leo Breiman's non-negative garotte. For estimation of the garotte constraint we use either k-fold cross validation or the little bootstrap.



This estimation method is based on well known paper.

J.J. van de Beek, M. Sandell, and P.O. BdoOC?orjesson, `ML Estimation of Time and Frequency OdlT¬ęset
in OFDM Systems', IEEE Transactions on Signal Processing, vol. 45, no. 7,...



Mathematical model of a mini-helicopter robot using Simulink blocks, which allows the automatic code generation without using c-code S-functions.

There is a complete toolbox that includes more subsystems and more features: detailed help...



Normalized mutual entropy provides a measure of the diversity of a two dimensional matrix. It takes mutual entropy and normalizes for the marginal entropy of the variable of interest (column variable in the code). See screen shot or embedded...



This m-file deals with the iterated principal factor method (principal axis factoring) thru the complete data matrix, the latent root criterion, iteration convergence criterion, and uses the varimax factor rotation. It works with an iterative...



Dent Rayleigh model is similar to Jakes but uses Hadamard function in MATLAB to make the oscillators (somewhat) independent and thus provide results that are a little more realistic than the Jakes model.

For more details, please read...



Calculate windowed mutual information between two signals up to a pre-defined lag. The estimation of the (joint) probabilities is optimized, hence, entire computation is very fast.



This script shows how to compute the Diffusion Kurtosis (DKI) Coefficients from a given Diffusion-Weighted MRI dataset. The script implements several fitting methods with various constraints from the article by A. Barmpoutis and J. Zhuo...



This is a companion to Matlab's Statistics toolbox ksdensity function and Philipp Berens' CircStat toolbox.

The difference with Matlab's ksdensity function is that this function is adaped to circular data, such as wind orientation....