underlyingpath_dw

说明：  　本文对变步长自适应滤波算法进行了讨论,建立了步长因子μ与误差信号e(n) 之间另一种新的非线性函数关系. 该函数比已有的sigmoid 函数简单,且在误差e(n)接近零处具有缓慢变化的特性,克服了Sigmoid 函数在 自适应稳态阶段步长调整过程中的不足. 由此函数本文得出了另一种新的变步长自适应滤波算法,并且分析了参数α,β的取值原则及对算法收敛性能的影响. 该算法有较好的收敛性能且计算量少. 计算机仿真结果与理论分析相一致,证实了该算法的收敛性能优于已有的算法.(In this paper, variable step adaptive filter algorithm to discuss the establishment of a step factor μ and the error signal e (n) between another new nonlinear function. The function has a sigmoid function than the simple and the error e (n) close to zero Department has a slow change in the characteristics of a Sigmoid function to overcome the steady-state phase in the adaptive step length adjustment during the process. this function, this paper gives another new variable step size adaptive filtering algorithms, and analysis of the parameters α, β the value principles and the convergence performance. The algorithm has better convergence performance easy to calculate. Simulation results and theoretical analysis, confirmed the convergence of the algorithm better performance than existing algorithms.)

说明：  基于kpca以及pca,dpca,流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单(Based on kpca and pca, dpca, manifold hair of program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, procedure is simple )

利用MATLAB中小波信号“db4 对信号分解和重构，去除噪音(MATLAB signal using wavelet )

在matlab中很适用，很经典的产生几种测试噪声的程序。(In matlab it is applicable, it is the classic noise generated several test procedures.)

a part of simulink which can relize some functions on motor

With the Matlab the Noisetracking algorithm proposed can be implemented

说明：  用于自学的PPT 帮助大家能够更好的 学习MATLAB 有助于 大家的自学哦(GOOD)

Gaussian elimination routine, single RHS

matlab绘图与图形处理技巧。值得参考一下。(matlab graphics and graphics processing skills. Worthy of reference.)

是一个完成循环卷积的MATLAB程序 实现方法实在时域完成的，不同于简单的频域实现，有较好的注释，一看就能懂，用的是矩阵的方法实现的(Is a cyclic convolution achieve implementation of the MATLAB program with it, the finish time domain, frequency domain is different from the simple implementation, there is a good note, one can look to understand, are used in the implementation matrix)