jcs-RBTS

To estimate the input-output mapping with inputs x ％ and outputs y generated by the following nonlinear, ％ nonstationary state space model: ％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)] ％ + 8cos(1.2t) + process noise ％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3 ％ + time varying measurement noise ％ using a multi-layer perceptron (MLP) and both the EKF and ％ the hybrid importance-samping resampling (SIR) algorithm. (To estimate the input-output mapping with inputs x and outputs y generated by the following nonlinear, nonstationary state space model: x (t+ 1) = 0.5x (t)+ [25x (t )]/[( 1+ x (t)) ^ (2)]+ 8cos (1.2t)+ process noise y (t) = x (t) ^ (2)/20+ 6 squareWave (0.05 (t-1 ))+ 3+ time varying measurement noise using a multi-layer perceptron (MLP) and both the EKF and the hybrid importance-samping resampling (SIR) algorithm.)

enhancing semi-supervised clustering:a feature projection prespective算法实现(the implementation of the alogrithm described in the paper--- enhancing semi-supervised clustering:a feature projection prespective)

信号为两个正弦信号加高斯白噪声，用burg递推法对其进行功率谱估计，效果不错。(Signal for two sinusoidal signal plus Gaussian white noise, the recursive method burg its power spectrum estimation, good results.)

short introduction for gauss programming to time sereis analysis

1、《小波图像分解与重构程序存在的问题与解决办法》 我编写程序时尽量实现模块化，方便不同功能程序之间的调用。以上程序实现了一维、二维小波分解与重构的功能，接下来我们就可以此为基础，探讨小波信号压缩和图像融合等技术了。(1, " Wavelet image decomposition and reconstruction process problems and solutions" when I try to modular programming, to facilitate calls between different functional processes. Program achieved more than one-dimensional, two-dimensional Wavelet function, then we can take this as the basis of wavelet signal compression and image fusion with the.)

This is the previous year question paper of Software Engineering and Methodologies of M.Tech CSE

模式识别中K均值聚类分析算法的matlab实现及注释，其中采用了误差平方和判断。(K-means clustering analysis algorithm in pattern recognition of matlab and annotation, which adopts the error sum of squares of judgment)

本书全面介绍了最新MATLAS 5.3版的全部令命描述、语法和应用。包括:数值计算、数据分析、绘图和图形图像处理、用户图形界面创建等几大类。各个命令都附有实例，易学易用。 (matlab)

用于阵列信号处理之中实现多重信号分类，即music方法和Esprit方法。(music and esprit )

Matlab source for blind classification of EEG data (BCI competition II data set IV)