023906-01

Example of using fuzzy logic to control water level in bottle.

实例：曲线标记 实例:修改曲型 内容很不错!对于做曲线相关的同学!可以借用看看!(Examples: examples of curves tags: Curved modify the content is pretty good! Make curves relevant for students! Can borrow to see!)

Normalized Cuts Clustering

tsp problem, nn algorithm

Laplace小波相关滤波法的matlab程序(Laplace Wavelet Correlation Filter matlab program)

小波分析理论与matlab实现 需用超星浏览器打开(wavelet analysis using matlab)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

该接口主要描述了关于应用层与90820之间的收发数据控制(description of the main interface for the application layer and between the TX 90820 Data Control)

基于MFCC的语音识别仿真系统，文件中带有完成语音识别训练的源代码.(Simulation-based MFCC speech recognition system, the file with complete source code for speech recognition training.)

MATLAB code for back propogation neural networks for more than five variable