GA-TO-bp-NET

C#调用matlab函数的方法(The function that c# invokes matlab )

多维数据的多维偏最小二乘法的数据拟合方法，能有效地建立各类共线性数据的模型。()

matlab code for nlms algorithm

读语音数据,数据放入了X,fs代表采样率，bit代表采样位数(Read voice data, the data is placed in the X-fs representative sample rate, bit representative sample median)

用于汽车系统动力学分析，包含了汽车振动分析等，有垂向、横向、纵向动力学3个方面(For automotive system dynamics analysis, including the automotive vibration analysis, there are vertical, horizontal, vertical dynamics of 3 aspects)

the code deals wid a face recg system,,its a gud one.i hope you like it. it would help people doin projects.

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.

结合了粒子滤波器和UKF滤波器的优点而用来估测一维状态变量的估测算法(A combination of particle filters and the advantages of the UKF filter is used to estimate the one-dimensional state variable of the estimation algorithm)

matlab实现信号去噪并对频谱分析，excel文件可用随机数据。(Using matlab to realize signal denoising and frequency spectrum analysis, excel file can use random data.)

该程序实现了压缩感知理论中采用矩阵的优化。在压缩感知理论中，要求采样矩阵与稀疏矩阵的相关性越低越好。该代码采用一种交替投影的方法实现采用矩阵的优化，有效降低其相关性。(The program to achieve the optimization of the use of matrix theory compressed sensing. Requirements of the sample matrix and sparse matrix theory of compressed sensing, the lower the better. The code uses an alternating projection method to achieve the optimization of the use of matrix to effectively reduce the correlation.)