GM11

matlab pso-xc evolve2.m matlab pso-xc evolve.m

主要是用c语言实现matlab中的fftshift函数的，(Mainly used c language matlab in fftshift function,)

说明：  用于从图像中提取不同大小的块，采样可选为重叠，不重叠和随机，以及由块恢复图像的三个函数(Used to extract from the image blocks of different sizes, optional sampling overlapping, non-overlapping and random, and by block to restore the image of the three functions)

GMSK的调制解调算法，码长为8的信源长度，注释很清楚(modulation and demodulation of GMSK)

Test implementation for the C code example in Application Note 192 Using the DS2480B Serial 1-Wire Line Driver DLL . This implementation uses the Windows 32-bit serial communication API and a standard DS9097U serial adapter initializing the DS2480B.

实现二维的MUSIC算法，并精确计算出波达方向，并作出可视图形。(The two dimensional MUSIC algorithm, and calculate the direction of arrival, and make visual graphics)

扩展卡尔曼的代码,非常有用的，希望多多下载(Extended Kalman code, very useful, and I hope a lot of download)

曲线拟合和多项式拟合-3，主要用于工程计算，工程优化。(Curve fitting and polynomial fitting-3, mainly used for engineering calculations, engineering optimization.)

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )

自己写的经典Rls算法，含有丰富的程序说明(Write your own classic Rls algorithm, rich description of the procedures)