increaseber

独立向量分析。是独立分量分析的一种扩展算法，可以用于信号卷积混合。(Independent vector analysis. Is an extension of the independent component analysis algorithm can be used for mixed signal convolution.)

采用matlab编程进行有限元温度场显示(Using matlab programming for finite element temperature display)

频谱校正程序，matlab的，学完动态信号分析的作业，华南理工大学研究生课程(Spectrum correction procedures, matlab, completion of the job of the dynamic signal analyzer, South China University of Technology postgraduate courses)

远程监控系统，具体不知道 ，刚接触，好多不懂，所以才来找学习的软件(Remote monitoring system, specifically do not know, are new, many do not understand is why they come to learn the software)

先进PID控制及其MATLAB仿真 源程序(Advanced PID control and MATLAB simulation)

基于simulink的二进制ask、fsk、psk的调制解调系统的设计(Simulink based binary ask, fsk, psk modem system design)

维也纳大学LTE系统级下行链路仿真平台的说明文档(University of Vienna documentation downlink LTE system level simulation platform)

高斯信道、莱斯信道和瑞利信道的误码率分析(Gaussian channel, Rice channel and Rayleigh channel the analysis of BER )

PLC MZI MATLAB仿真. MZI可用作波分复用器件（分离两个波长光信号）。本例子为一级MZI，由两个光耦合器（耦合系数a1,a2）和一段延迟臂（延迟dl）构成。MZI有两个输入和两个输出端口，一般两个波长光信号由一个输入端口输入，而在两个端口分别输出不同波长信号。(PLC MZI simulation.)

克里金法假定采样点之间的距离或方向可以反映可用于说明表面变化的空间相关性。克里金法工 具可将数学函数与指定数量的点或指定半径内的所有点进行拟合以确定每个位置的输出值。克里金法是一个多步过程；它包括数据的探索性统计分析、变异函数建模 和创建表面，还包括研究方差表面。当您了解数据中存在空间相关距离或方向偏差后，便会认为克里金法是最适合的方法。该方法通常用在土壤科学和地质中。(This function completes what I have started with the functions variogram and variogramfit. It is not intended to be a highly optimized code for performing kriging but may have educational value. Note that for using kriging, you should download the latest version of variogramfit. kriging uses ordinary kriging to interpolate a variable z measured at locations with the coordinates x and y at unsampled locations xi, yi. The function requires the variable vstruct that contains all necessary information on the variogram. vstruct is the forth output argument of the function variogramfit. This is a rudimentary, but easy to use function to perform an ordinary kriging interpolation. I call it rudimentary since it always includes ALL observations to estimate values at unsampled locations. This may not be necessary when sample locations are not within the autocorrelation range but would require something like a k nearest neighbor search algorithm or something similar. Thus, the alg)