matlab

包括了许多CA模型的matlab源程序，对于初学者很有用处。(CA model includes many of the matlab source code, useful for beginners.)

关于rayleigh 信道仿真的说明 以及OFDM同步仿真的说明(Rayleigh channel simulation on a description of the simulation description of OFDM synchronization)

this programme shows how the trajectory works with 3 axis

in this program, the sparse representation of data was calculated.

Iterative learning neural network control for nonlinear system trajectory tracking

简单的PCA主元分析源码，自己编写，亲测可用(Simple PCA principal component analysis of the source code, I have written pro-test available)

RESINVM3D is a MATLAB package for inverting 3D Dc Resistivity and Electrical Resistivity Tomography data. The Package contains 35m files along with two demonstration data sets. Copyright (c) 2007 by the Society of Exploration Geophysicists. For more information, go to http://software.seg.org/2007/0001 . You must read and accept usage terms at: http://software.seg.org/disclaimer.txt before use.

FIR 底通和带通滤波器和IIR 底通和带通滤波器，插值与拟合，解方程，数据分析，这是一个好用的频偏估计算法的matlab仿真程序。( Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Interpolation and fitting, solution of equations, data analysis, This is a useful frequency estimation algorithm matlab simulation program.)

PRML书本代码，PRML是一本机器学习经典教材，这里给出这本教材相应的代码。(Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. )

Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359(9306):572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer.gov/ncifdaproteomics/ppatterns.asp (Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359 (9306) :572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer. gov/ncifdaproteomics/ppatterns.asp)