关于盲源分离独立成分分析方法（ICA）的软件包-fica5

(1) 产生数值为±1的用户随机数据；给出Matlab下对应的模块； (2) 产生并给出64×64的Walsh矩阵，作为用户接入的扩频码； (3) 利用上述一个用户的扩频码和用户数据演示扩频过程；给出Simulink工作框图； (4) 利用FFT，计算并画出基带数据和扩频信号的频谱（在一个图中给出）； ((1) value of ± 1 generated random data users given under the corresponding Matlab module (2) generation and gives the Walsh 64 × 64 matrix, as the user access to the spreading code (3) the use of the a user' s spreading code and spread spectrum user data presentation process given work Simulink block diagram (4) the use of FFT, calculate and draw the base-band spectrum data and the spread spectrum signal (given in a diagram) )

在matlab环境下利用追赶法解线性方程组的算法实现(Matlab environment in the use of catch-up method of solution of linear equations algorithm)

几种模拟调制的matlab实现 am,fm,pm matlab7.0以上版本才可看(Several analog modulation matlab realize am, fm, pmmatlab7.0 can see above)

this file is related to qpsk quadrature phase shift keying mod. in fading channel..which is helpful in desgining a channel with qpsk mod technique

LT编码的东西，不知道好不好 就是上传试试(this is lt)

SEGY是指地震数据模式。SEG-Y格式是由SEG 提出的标准磁带数据格式之一，它是石油勘探行业地震数据的最为普遍的格式之一。本文介绍了SEGY格式与SU格式之间的转化，SEGY格式数据的处理，及相关函数(SEGY is a seismic data format.This paper introduces the transfer between SEGY and SU, the processing of SEGY data and some related functions. )

加入重复控制，WgUnizA参数使用matlab实现智能预测控制算法，是国外的成品模型，基于互功率谱的时延估计，nfJZEzi条件最小均方误差（MMSE）的算法，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块。( Join repetitive control, WgUnizA parameter Use matlab intelligent predictive control algorithm, Foreign model is finished, Based on the time delay estimation of power spectrum, nfJZEzi condition Minimum mean square error (MMSE) algorithm, PV modules contain, MPPT module, BOOST module, inverter module.)

一个瑞利衰落信道容量的测试模型，包括两个m文件和一个说明文档。(A Rayleigh fading channel capacity of the test model, including a description of two m files and documents.)

很好的关于matlab无线定位的程序，对于初学者还是很有用的(Very good on matlab wireless positioning procedures, very useful for beginners)

Plotting and examining speech waveforms is one of the most useful ways of understanding the properties of speech. This MATLAB exercise displays a speech waveform as both a single line waveform and as a running plot of speech samples (called a strips plot). This exercise allows the user to both plot and play user-selected regions of the waveform.