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matlab平台上dsp代码自动生成，应用matlab和ccs的联合仿真提高开发周期(Matlab platform dsp automatic code generation, Application ccs and Matlab simulation to improve the joint development cycle)

face detect on web camera

英文书Beginning Mac OS X Snow Leopard Programming的源码。(Source code of book "Beginning Mac OS X Snow Leopard Programming")

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

《神经模糊预测控制及其matlab实现》（第3版）matlab程序(Neuro fuzzy predictive control and its matlab implementation (Third Edition) matlab program)

说明：  SURROGATES工具箱是一个多维函数逼近和优化方法的通用MATLAB库。当前版本包括以下功能： 实验设计：中心复合设计，全因子设计，拉丁超立方体设计，D-optimal和maxmin设计。 代理：克里金法，多项式响应面，径向基神经网络和支持向量回归。 错误和交叉验证的分析：留一法和k折交叉验证，以及经典的错误分析（确定系数，标准误差;均方根误差等;）。 基于代理的优化：高效的全局优化（EGO）算法。 其他能力：通过安全裕度进行全局敏感性分析和保守替代。(SURROGATES Toolbox is a general-purpose MATLAB library of multidimensional function approximation and optimization methods. The current version includes the following capabilities: Design of experiments: central composite design, full factorial design, Latin hypercube design, D-optimal and maxmin designs. Surrogates: kriging, polynomial response surface, radial basis neural network, and support vector regression. Analysis of error and cross validation: leave-one-out and k-fold cross-validation, and classical error analysis (coefficient of determination, standard error; root mean square error; and others). Surrogate-based optimization: efficient global optimization (EGO) algorithm. Other capabilities: global sensitivity analysis and conservative surrogates via safety margin.)

说明：  主要是通过GA和PSO的全局搜索能力，用于改进BP网络的权值阈值(It is mainly used to improve the weight threshold of BP network)

实现了在MATLAB环境下进行汽车车牌识别的过程(Realize in the MATLAB environment Automobile License Plate Recognition process)

说明：  AVS帧内预测算法的MATLAB代码，具体做了水平预测、垂直预测、DC和左上预测、右下预测。(AVS intra-prediction algorithm MATLAB code, the specific level of the forecast done, vertical prediction, DC prediction and the upper left, lower right forecast.)

用matlab gui编写的通过按钮获取编辑框中的数据，并在静态文本框中显示。(Prepared by using matlab gui button for edit box of the data and display the static text box.)