envi_batch_template

本程序，使用定时器0，产生的中断，进而进行计数，并在LCD1602上显示(This procedure, the use of timer 0, arising from interruption, and then to count and display LCD1602)

该程序是我的一个小作业，它是用matlab来仿真一个实际的问题，对于matlab的初学者来说有一定的帮助(The program is one of my little job, which is used matlab to simulate a real problem, for matlab beginners who have some help)

MATLAB Books CollectionChemical Process Control a First Course with Matlab - P.C. Chau.rar

Mex file for the matlab users

1.CAmodelfusion.m 主要功能： （1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计； （2）实现传感器的局部状态估计的SCC和CI融合算法的实现； （3）画出局部估计和两种融合估计的位置、速度、加速度的误差； （4）画出局部估计和两种融合估计的协方差椭圆。 2.CVmodelfusion.m 主要功能： 功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。 3.CovInter.m 主要功能： 寻找CI融合算法的融合估计的协方差阵的行列式最小的权值。 4.f_plot_ellipse_m.m 主要功能： 绘制四种估计的协方差椭圆 (1.CAmodelfusion.m main functions: (1) completion of two sensors each target state based on CA model of Kalman estimation (2) the realization of the sensor partial state estimation algorithm SCC and CI integration and (3) Draw Local estimated position and two fusion estimation, velocity and acceleration errors (4) Draw two fusion of local estimates and estimated covariance ellipse. 2.CVmodelfusion.m Main Features: a CAmodelfusion.m similar, the difference is that the estimated CV-based estimation and model integration. 3.CovInter.m main functions: Find fusion algorithm fusion CI estimated covariance matrix of the determinant minimum weight. 4.f_plot_ellipse_m.m main functions: Draw four kinds estimate covariance ellipse)

用matlab编程，rbf神经网络进行负荷预测的程序(Using matlab programming, rbf neural network load forecasting procedures)

自学matlab必备的60个小例子，包括牛顿插值、taylor解常微分方程等算法的matlab实现源代码，保证正确(It includes 60 examples of the code of matlab)

小波分析,包换小波降噪，分解和重构，频谱分析(Wavelet analysis, replacement wavelet noise reduction, decomposition and reconstruction, spectrum analysis)

这是目前传统单通道语音增强中效果最好的算法，作者Iseal Cohen大神,采用基于最小均方误差MMSE准则，代码里，噪声估计由最初的MCRA更新为效果更好的IMCRA。(This is the most effective algorithm for traditional single channel speech enhancement. The author, Iseal Cohen great God, uses the minimum mean square error MMSE criterion. In the code, the noise estimation is updated from the original MCRA to the better IMCRA.)

将采用训练函数 traingdx 和“提前停止”相结合的方法来训练 BP 网络，以提高 BP 网络的推广能力(Will use the training function traingdx and " stop ahead" a combination of methods to train BP network to improve the generalization ability of BP network)