ofdm_4

说明：  一个关于随机二进制M序列的一种产生的程序(M on a random binary sequence generated by a procedure)

自已编的一个MATLAB的关于SIFT算法的代码，希望对大家有用。(Their own for a SIFT algorithm on MATLAB code, in the hope that useful.)

This toolbox is meant to facilitate the manipulation of images and video in Matlab. Its purpose is to complement, not replace, Matlab s Image Processing Toolbox, and in fact it requires that the Matlab Image  Toolbox be installed.    Emphasis has  been placed on code efficiency and code reuse.

直接序列扩频通信系统，快速傅里叶变换的matlab程序(Direct sequence spread spectrum communication systems, fast Fourier transform matlab program)

this code about optimization

matlab最全的命令集合，学习matlab好帮手(MATLAB the most complete command set, learning matlab a good helper)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

说明：  协同网络中继选择算法 一种是基于门限的最大信噪比选择；另一种是基于门限的最小误码率选择，我们将选择一条最佳的中继链路和源节点到目的节点的直接传输链路在目的端进行最大比合并(Research on relay selection algorithm in cooperative wireless Networks)

实现一个完整的粒子群算法，这个函数就是PsoProcess(A complete particle swarm algorithm, this function is PsoProcess)

matlab.practical.program介绍了matlab的发展和一些基本知识(matlab.practical.program on the development of Matlab and some basic knowledge)