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C++与matlab混合编程实例，用于实现在VS2010中调用matlab程序(C++ and matlab mixed programming, call matlab program VS2010)

用于线性调频信号的脉冲压缩处理程序，采用相关计算的算法进行的压缩处理(For LFM pulse compression process, using the relevant calculation algorithms for compression processing)

本程序主要是应用模糊推理进行分类，实验后处理效果明显(This procedure is mainly classified fuzzy reasoning)

The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1 The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. (The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano, "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1985. The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. )

数字信号处理中功率谱的重要算法。代码中对比了经典谱估计直接法和间接法之间的关系(digital signal processing power spectrum in the algorithm. Code Comparison of classical spectrum estimated direct and indirect relations between the)

说明：  这是数字信号处理课程中的AR模型的功率平铺攻击MATLAB编程(This is a digital signal processing courses in the AR model of power tile attack MATLAB Programming)

matlab画图方法介绍，自己留用的资料，欢迎使用交流。(matlab drawing method, the information retained their own are welcome to use the exchange.)

说明：  这是几篇关于boost电路设计的文章，学习电力电子的人会有所启发和帮助(This is a few articles on the boost circuit design, power electronics people will learn to inspire and help)

full implementation to LDA with Minumum distance Classifier for face recognition and easy to implement.

使用Fisher线性鉴别分析（FLDA）方法在ORL人脸数据库上进行人脸识别试验。ORL标准人脸库共包含40人，每人10幅共400幅BMP图像。(The use of Fisher linear discriminant analysis (FLDA) at Ways on ORL face database for face recognition test. Standard ORL face database contains a total of 40 people, 10 per person a total of 400 BMP images.)