quantizer1

小波神经网络研究的进展及一种新算法，希望可以抛砖引玉(WNN progress of the studies and a new algorithm, hope to start)

说明：  本设计是基于Matlab集成环境下用M文件编制程序来实现PSK信号的解调(The design is based on the Matlab environment integrated with M documentation procedures to achieve PSK signal demodulation)

the for clustering algorithms.

利用有限元分析的方法，对微尺度内的物理进行了流动模拟，该方法可以分析多孔介质。(Finite element method, the physics of microscale flow simulation conducted, the method can analyze the porous media.)

高斯过程在回归和分类问题中的应用，注释详细(Gaussian process regression and classification problems in the application, comments, details)

语音基本间隙检测算法，voice activity detection(basic voice Gap Detection Algorithm, voice activity detection)

基于Matlab的PID参数最优化设计(fminsearch单纯形法)(Matlab-based design of PID parameter optimization (fminsearch simplex method))

悬置功能计算的，能量解耦的方法，优化及其位移的计算(The calculation of suspended function, energy decoupling method, optimization and calculation of displacement)

针对多车场vrp问题，使用遗传算法用matlab进行编码，同时加入了单线路局部优化(TSP problem for multi- traveling salesman problem of genetic algorithm matlab program)

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. )