shili98

matlab中用于UI6008数据采集卡的数据采集以及输出的程序 使用方便快捷 降维观测器的实现(for UI6008 data acquisition card for data acquisition and output in matlab program easy to use drop-dimensional observer realization)

matlab 输入输出小例子 输入输出小例子(matlab input/output small example)

摘要:分析了最小均方误差滤波和递归最小二乘滤波算法、自适应滤波的神经网络方法、 基于QR分解的方法、统一模型下的自适应滤波及基于高阶累积量的自适应算法的优缺点，并对自适应滤波算法的未来发展做了展望。 (the author analyzes the minimum mean square error filter and recursive least square filter algorithm, an adaptive filter neural network method, Based on the decomposition of the QR unified model method, an adaptive filter and based on the cumulant adaptive algorithm of their advantages and disadvantages, and on the The algorithm is applied to the development of the future is prospected. )

说明：  运用粒子群算法进行优化问题分析，程序中以Giewank函数为测试对象，效果不错。(using PSO to conduct optimization, the effect is good based on Giewank function.)

霍夫变换的源程序，专门用于复杂背景下圆孔的中心定位(Hough transform of the source, specifically for the complex context of the central positioning hole)

本函数将完成对输入的二维信号进行多尺度离散小波分解(This function will complete the two-dimensional signal input multi-scale wavelet decomposition)

多方向灰度变换源代码（本子程序为单方向，多方向修改一下即可）(Multi-directional gray transform source code (book program for single-direction, multi-directional modify click))

已知一组二维模式矢量如下（20个）,利用k均值聚类算法将模式集分类，并计算出聚类中心。利用输入层为2个神经元，输出层结构为7*7方阵的自组织映射（SOFM）对同样模式进行聚类(Given a set of two-dimensional pattern vector as follows (20), the use of k-means clustering algorithm to classify the pattern set, and calculate the cluster center. Using the input layer 2 neurons, the output layer structure for self-organizing map 7* 7 phalanx (SOFM) for the same model clustering)

关于Matlab中曲线的插值与拟合的程序代码(Interpolation and fitting)

高精度惯性导航解算程序，实验轨迹生成，惯性导航解算等功能(Solver precision inertial navigation)