plot_hht

说明：  code for global thresholding

现代数值计算方法所附光盘源码第五部分（福建师范大学）马昌凤, 林伟川编著 科学出版社(Modern numerical methods accompanying CD-ROM Source fifth part (Fujian Normal University) MA Chang-Feng, LIN Wei-chuan edited by Science Press)

利用最小二乘法进行拟合多元非线性方程，微分方程组数值解方法，最小均方误差等算法的MSE的计算。( Multivariate least squares fitting method of nonlinear equations, Numerical solution of differential equations method, Minimum mean square error MSE calculation algorithm.)

电子通信系统的建模与仿真 第8章 扩频通信 仿真 8.1 扩频码相关性的讨论 8.2 扩频通信原理 8.3 扩频通信系统? 8.4 跳频通信系统(Electronic communications system modeling and simulation in Chapter 8 Simulation of spread spectrum communication spread spectrum 8.1 code related discussion 8.2 Principle 8.3 Spread Spectrum Communications Spread Spectrum Communication System ? 8.4 Frequency Hopping Communication System)

说明：  SUSAN算法检测角点的MATLAB的实现方法(SUSAN corner detection algorithm of MATLAB Realization)

功率控制在CDMA移动通信系统中的作用 (The role of power control in a CDMA mobile communication system)

gives a nice phase portrait of dynamical systems

自相关检测方法是利用信号和噪声在相关域上的差别来构造检测器的。自相关检测是将信号与自身延迟一个时延后的信号作相关处理，或用双通道接收机的输出进行相关，得到扩频信号的自相关函数(Auto-correlation detection method is the use of signal and noise in the relevant field to construct the difference detector. Autocorrelation test is a time delay signal and its delayed signal for correlation, or the output of dual-channel receiver, associated, are spread spectrum signal autocorrelation function)

结合通信/雷达中的阵列测向应用，进行方位估计(Combining communications and radar array detection applications, azimuth estimate)

径向基函数是一个取值仅仅依赖于离原点距离的实值函数，也就是Φ（x）=Φ(‖x‖),或者还可以是到任意一点c的距离，c点称为中心点，也就是 Φ（x，c）=Φ(‖x-c‖)。任意一个满足Φ（x）=Φ(‖x‖)特性的函数Φ都叫做径向量函数，标准的一般使用欧氏距离，尽管其他距离函数也是可以的。一些径向函数代表性的用到近似给定的函数，这种近似可以被解释成一个简单的神经网络，径向基函数在支持向量机中也被用做核函数。(Radial basis function depends only on the value of a real-valued function of the distance from the origin, i.e. Φ (x) = Φ (x ‖ ‖) or may also be the distance to any point c, c is called the center point , i.e. Φ (x, c) = Φ (xc ‖ ‖). Satisfy any one of Φ (x) = Φ (x ‖ ‖) characteristic functions are called radial vector function Φ standard Euclidean distance is generally used, although other distance functions are also possible. Some typical uses radial function approximation given function, this approximation can be interpreted as a simple neural network, RBF in support vector machines have also been used to make nuclear functions.)