seislab6.1925

Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of sample points, but techniques based on Reproducing kernel Hilbert space regularization exist for adding this capability.[12] Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.

A Genetic Algorithm for Function Optimization: A Matlab Implementation

一种基于小波域灰度图像盲水印的新方法， 方案中利用了人类视觉系统（HVS）特征。(A new approach for non-blind watermarking of still gray level images in the wavelet domain.The method uses the Human Visual System(HVS)characteristic)

相空间重构的计算程序。可以为计算关联维数服务，或者要预测时也可用。(it is a program for phase space reconstruction, and it s for correlation dimension or for prediction)

维纳滤波用于噪声抑制，有辅观测数据和无有辅观测数据的维纳噪声抑制器(Wiener filter for noise suppression, auxiliary data and without auxiliary Wiener noise suppressor observation data)

newton raphson MATLAB PROGRAMME

1. SOH的关于IMU算法的源代码和测试工程，效果非常不错！是SOH硕士论文的代码！(1. SOH source code and test engineering on the IMU algorithm, the effect is very good! Thesis is SOH code!)

超宽带高斯噪声的计算1，与其他的几个共用(Ultra-Wideband Gaussian noise calculation 1, and some other common)

此程序为基于KALMAN滤波的信道估计联合符号检测算法。 modified_jakes为jakes模型子程序。(This procedure is based on the Kalman Filter Channel Estimation Joint symbol detection algorithm. Jakes model for modified_jakes subroutine.)

PAPERS ON DYNAMIC VOLTAGE RESTORER