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Code Listing by Choqueuse Vincent

Code 1-10 of 10   






Let us assume the signal model:
Y(k)=HX(k)+B(k)
This script provides a method for the blind recognition of the number of sources (the size of X(k)). The noise must be spatially white and the number of receivers is assumed to be stricly greater than the number of sources. See reference [CHE91] Chen. W and Wong.K.M. and Reilly. J.P. "Detection of the number of signals: a predicted eigen-thresholdapproach", IEEE Transactions...



This algorithms implements a blind channel estimation algorithm for Space-Time Block Coded communications. The algorithm exploits the statistical independence of sources before space-time encoding. The channel matrix is estimated by minimizing a...



The Central Limit Theorem (CLT) states that the sample average of N i.i.d. random variables approaches the normal
distribution.

This script displays the probability density function of the sample average of N i.i.d variables with...



Let us assume the following MIMO model:
Y(k)=HX(k)+Y(k)
This file can detect the number of sources, i.e the size of the vector X(k) from the received signal Y(k). The noise is assumed spatially white and the number of receivers must be...



Let us assume the following MIMO model:
Y(k)=HX(k)+Y(k)
This file can detect the number of sources, i.e the size of the vector X(k) from the received signal Y(k). The noise is assumed spatially white and the number of receivers must be...



This file implements the Multi User Kurtosis Algorithm for Blind Source Separation (see [1] for more details about the method).

The zip file contains:

- the one_shot.m script file
- the MUK_algorithm.m function



The zip file contains several matlab files. These files implement the optimal vlassifier (optimal_classifier.m), a sub-optimal classifier (SOS_STBC_Classifier.m) which is based on Second Order Statistic and a low-complexity sub optimal...



Let us assume the following MIMO model:
Y(k)=HX(k)+Y(k)
This file can detect the number of sources, i.e the size of the vector X(k) from the received signal Y(k). The noise is assumed spatially white and the number of receivers must be...



Space time coding takes profit of the channel diversity to improve the reliability of a communication system. This file contains some of the most famous space time block codes.

References:
[1] S.M Alamouti " A simple...



The sound denoising algorithm is based on the popular spectral subtraction technique. Based on the spectrum of the vuvuzela sound, this denoising technique simply computes an antenuation map in the time-frequency domain. Then, the audio signal is...