DS

时程积分程序，给定结构激励，计算结构动力响应。(Time integration process, given the incentive structure, dynamic response of structure.)

费聂耳衍射成像的模拟，采用透镜成像原理，有效地利用fft(simulation of the diffraction，based on the optical lens and the theory of fft)

说明：  本程序是Haar小波的源代码，非常使用。(This program is the source code for Haar wavelet, is used.)

说明：  任意阵列输出数据的协方差进行奇异值分解，求出特征值和特征向量，利用信号子空间和噪声子空间的正交性，构造空间谱函数(Arbitrary array output data covariance singular value decomposition, eigenvalues and eigenvectors obtained using the signal subspace and noise subspace orthogonality spectral function space constructor)

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

一个端点检测的程序，用于语音处理，是用matlab编写的，希望相关专业的朋友可以分享(An endpoint detection procedure, used for voice processing, is to use matlab prepared, I hope the relevant professional friends to share)

该函数通过调用MATLAB库函数noemxcorr（），实现简单的模板模式匹配功能，性能优异(The MATLAB function by calling the library function noemxcorr (), to achieve a simple template pattern matching functionality, performance)

这是MATLAB程序设计的初步教程，希望对大家能有所帮助。(This is the initial MATLAB Programming Guide, in the hope that we can help.)

Matlab 加入高斯白噪声，并计算加入噪声后信号的自相关 和加入噪声后信号和理想信号的互相关 ，将以上参数代入函数中进行维纳滤波。(Matlab Gaussian white noise, and calculated after adding noise autocorrelation and added noise signal and the ideal signal cross-correlation signal, the above parameters into function Wiener filtering.)

说明：  用MATLAB做的Fisher线性分类器，处理脑电信号，数据为bci竞赛数据(MATLAB to do with Fisher linear classifier, EEG signal processing, data race data for the bci)