JPDA

关于matlab中文件打开关闭读取等操作的命令解释(Open the file on matlab operations such as close reading command interpreter)

DOA估计的一个函数，function [Count_signals, sorted_matrix,sorted_value](DOA estimation of a function, function [Count_signals, sorted_matrix, sorted_value])

This code calculates the DFT of an array

将二维数据转换成libsvm格式的程序，matlab格式文件，可作函数调用。(Will be two-dimensional data into libsvm format procedures, matlab format and can be used for function calls.)

求解优化问题中L1范数正则化函数和全变分正则化函数的流行算法(Sparse Reconstruction by Separable Approximation)

adaptive noise cancelling based on Adaline neural network

一篇介绍ARMA时间序列模型定阶方法的文章，供大家参考。(a paper about order determination method for ARMA time series model .)

图论问题中求解各个点中任意两点的最短路问题matlab源文件(Graph theory to solve various points between any two points the shortest path problem Matlab source files)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

基于Matlab编程的QPSK的仿真，用处不错，简单明了(QPSK Matlab-based simulation programming, use good, simple)