zf_mmse_junheng

The book gives the instruction of using Multisim 9 for educators

string tokeniser using c language

提出一种多描述分层语音编码器，基于正弦和等效矩形带宽模型，将正弦和噪声模型参数根据能量大小进行适当分配以得到不同的描述和感知层(A layered multiple description speech coder based on the sinusoidal model and the equivalent rectangular bandwidth will be sinusoidal and noise model parameters in accordance with the energy distribution of the size appropriate to get different descriptions and perceptual layer)

The Fuzzy Clustering and Data Analysis Toolbox is a collection of Matlab functions. Its propose is to divide a given data set into subsets (called clusters), hard and fuzzy partitioning mean, that these transitions between the subsets are crisp or gradual.(The Fuzzy Clustering and Data Analysis Toolbox is a collection of Matlabfunctions. Its propose is to divide a given data set into subsets (calledclusters), hard and fuzzy partitioning mean, that these transitions betweenthe subsets are crisp or gradual.)

人脸识别一直是计算机视觉中的一个重要研究方向，本程序给出了人脸识别的一种主成分分析的实现方法(Face recognition in computer vision has always been an important research direction, this program gives recognition to the realization of a principal component analysis method)

matlab it is about object recognition

说明：  利用matlab软件，使用距离变换和分水岭法对图像进行分割(Using matlab software using the distance transformation and watershed image segmentation method)

说明：  非线性滤波器信息泄漏的关键问题研究及其说明(Nonlinear filter information disclosure and description of the key issues)

模拟退火算法——组合优化 模拟退火算法主要用于解决组和优化问题，它是模拟物理中晶体物质的退火过程而开发的一种优化算法。在对固体物质进行模拟退火处理时，通常先将它加温熔化，使其中的粒子可自由运动，然后随着温度的逐渐下降，粒子也逐渐形成了低能态的晶格。若在凝结点附近的温度下降速率足够慢，则固体物质一定会形成最低能态的基态。 对于组合优化问题来说，它也有这样的类似过程。组合优化问题解空间中的每一点都代表一个具有不同目标函数值的解。所谓优化，就是在解空间中寻找目标函数最小（大）解的过程。若把目标函数看成能量函数，某一控制参数视为温度 T，解空间当作形态空间，那么寻找基态的过程也就是求目标函数极小值的优化过程。 (Simulated annealing algorithm- combinatorial optimization Simulated annealing algorithm used to solve optimization problems and the group, it is the physical simulation of the crystal material in the annealing process and the development of an optimization algorithm. Solid substances in the simulated annealing process, it is usually heated it first melts, so that the particles are free to exercise, then gradually decreased as the temperature of the particles gradually formed a lower state of the lattice. If the temperature drops near the condensation rate slow enough, the solids will form the lowest energy state of the ground state. For combinatorial optimization problems, it also has such a similar process. Combinatorial optimization problem the solution space of each point represents a different objective function value of the solution. The so-called optimization, is in the solution space to find the minimum objective function (large) solution process. If the objective function a)

Kinematic description aproximation