marmousi模型双线性插值

对多输入多输出系统进行仿真，通过仿真解释其性能的好坏(MIMO system simulink)

This is IP optimization method examples with constraints

自己编写的偏最小二乘回归模型matlab程序，附带详细的说明。(Matlab partial least squares regression procedures, with detailed instructions.)

本文介绍了一种基于核函数的参数估计方法，对于初学者来讲很有帮助(kernel based estimation )

注水定理计算信道容量，主要通过注水算法来进行，很有用(waterfilling for channel capacity)

当信噪比较大时，采用广义最小二乘法可能会出现多个局部收敛点，解决这个问题的方法可用多级最小二乘法，一般来说多级最小二乘法包含三级辨识过程。利用输入输出数据，通过多级最小二乘法，可分别求的辅助模型，过程模型和噪声模型的参数估计值。在高噪声的情况下，多级最小二乘法明显优于广义最小二乘法，其收敛点唯一。(When the signal noise ratio (SNR), and by use of the generalized least squares method may appear more local convergence point, the way of solving this problem can be used multistage least squares method, and generally multistage least squares method includes three identification process. Using input/output data, through the multistage least squares, respectively for the auxiliary model, process model and noise model parameter estimation. In the high noise, multistage least squares method is obviously superior to the generalized least squares method, and its convergence point only.)

用MATLAB对电力系统进行仿真。里面有全套的仿真模型。(Using MATLAB for power system simulation. There are a full range of simulation models.)

BP学习算法应用——模式分类 应用动量BP学习算法对UCI提供的经典数据库——鸢尾属植物数据库进行分类，速度快，精度高。iris.arff为数据库文件，可用Weka数据挖掘软件打开。Iris.csv为源代码读取的数据文件，通过Weka软件转换得到。 将源文件Iris_classify.m和Iris.csv文件放入matlab的work文件夹中直接运行即可。(BP learning algorithm applications- the application of pattern classification momentum BP learning algorithm to provide a classic UCI database- iris database classification, high speed and accuracy. iris.arff for the database file that can be used to open Weka data mining software. Iris.csv for the source code to read the data files have been converted through Weka software. Iris_classify.m the source document and document Iris.csv Add matlab folder of work can be directly run.)

迭代静校正的源码，辛苦写成的。关于地震剖面的校正(Source static correction iteration, hard written. Correction on the seismic profiles)

pll programs for 2nd , 3rd 4th order