chapter4

OFDM信道估计的几种方法的仿真，包括最小二乘(LS)法、最小均方误差(MMSE)法、线性最小均方误差(LMMSE)法以及奇异值（SVD）分解法等，毕设资料，非常珍贵(several OFDM channel estimation methods,which contains the least-squares (LS), the minimum mean square error (MMSE), the linear minimum mean square error (LMMSE) and the singular value decomposition (SVD))

径向圆跳动误差评定，方法包括最小条件法，最小区域法，端点法，提高误差评价精度。(Radial circular runout error uation methods, including minimum condition method, least square method, the endpoint method, improve the error estimation accuracy.)

免疫算法例子.本例是求取一个分段函数的最大值.(Examples of immune algorithm. In this case is to strike a maximum of a piecewise function.)

球形译码程序 从理论上比较详尽地仿真出了CLSD，每一步都有详尽的解释(Sphere decoding procedures detailed theory simulation CLSD every step detailed explanation)

包括脚本文件和函数文件形式，包括AHP，因子分析，回归分析，聚类分析，到达过程是的泊松过程，欢迎大家下载学习，粒子图像分割及匹配均为自行编制的子例程，最小均方误差（MMSE）的算法，基于负熵最大的独立分量分析，用于特征降维，特征融合，相关分析等。( Including script files and function files in the form, Including AHP, factor analysis, regression analysis, cluster analysis, Arrival process is a Poisson process, Welcome to download the study, Particle image segmentation and matching subroutines themselves are prepared, Minimum mean square error (MMSE) algorithm, Based on negative entropy largest independent component analysis, For feature reduction, feature fusion, correlation analysis.)

调制识别的传统算法， 零中心归一化瞬时幅度的谱密度的最大值 零中心归一化瞬时幅度绝对值得标准偏差 零中心非弱信号段瞬时相位非线性分量绝对值的标准偏差 零中心非弱信号段瞬时相位非线性分量的标准偏差 零中心归一化非弱信号段瞬时频率绝对值得标准偏差(Traditional modulation recognition algorithm, the zero center owned by an instantaneous amplitude of the spectral density of the maximum zero center owned by one of the instantaneous amplitude is definitely worth the nonlinear component of the instantaneous phase of the absolute value of standard deviation of zero-center non-weak signal segment, standard deviation of zero center weak signal segment of the standard deviation of the nonlinear component of the instantaneous phase zero center owned by the instantaneous frequency of a non-weak signal segment is definitely worth the standard deviation)

改程序是在时间序列分析中针对加窗函数来处理和估计密度函数系数(Change process is in time series analysis window function for Canada to deal with and the estimated density function coefficients)

最优化方法及其Matlab程序设计.pdf (optimization and Matlab programs.pdf)

butterworth highpass filter

这是一个关于Fisher线性判别分析的Matlab的m文件，给出了在高斯核下的程序源码。(This is a Fisher linear discriminant analysis on the Matlab m-file, given the procedures in the lower-Gaussian source.Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction.)