Nonlinear

说明：  离散点拟合贝塞尔曲线，可以改变阶数，求控制点并求出误差(Fitting Bezier curve with discrete points)

Line Search using different type of functions. This is useful for Nonlinear programming.

高斯建模实现图像背景生成，人有不妥之处，大家共同研究(Gaussian modeling of the background image generation, were something wrong with the common research)

说明：  这是在论文中，用matlab中神经网络bp方法训练红外图像象素值和温度之间对应关系的程序(This the thesis, using Matlab neural network training method bp infrared image pixel and temperature relationships between the procedures )

老师给的中文版S函数编写规则，中文哦，很有用的s资料(Teachers to the Chinese version of the S function written rules, Chinese Oh, s very useful information)

In recent years a substantial increase in the development of broadband wireless access technologies for evolving wireless Internet services and improved cellular systems has been observed [1]. Because of them, it is widely foreseen that in the future an enormous rise in traffic will be experienced for mobile and personal communications systems [2]. This is due to both an increased number of users and introduction of new high bit rate data services. This trend is observed for second-generation systems, and it will most certainly continue for third-generation systems. The rise in traffic will put a demand on both manufacturers and operators to provide sufficient capacity in the networks [3]. This becomes amajor challenging problem for the service providers to solve, since there exist certain negative factors in the radiation environment contributing to the limit in capacity

MATLAB_SIMULINK通信系统建模与仿真实例精讲，包含DS_CDMA通信系统、IS95前向链路系统、MIMO通信系统、OFDM通信系统、蓝牙调频通信系统(Matlab Simulink Communications system modeling and Simulation examples succinctly, including DS_CDMA communication system, IS95 forward link systems, MIMO communication systems, OFDM communication system, Bluetooth FM communication system)

对copula－t模型参数的估计,基于matlab程序(the estimation of copula-t,based on matlab)

用matlab对wav文件采用不同的方式读取（wavread和fopen），并对其进行低通滤波处理。滤波用的fir直接型低通滤波器(to read the wav file in different ways with Matlab (wavread, and fopen), and then low-pass filtering. the low-pass filter is direct_type FIR filter )

ann The models used in MPC are generally intended to represent the behavior of complex dynamical systems. The additional complexity of the MPC control algorithm is not generally needed to provide adequate control of simple systems, which are often controlled well by generic PID controllers. Common dynamic characteristics that are difficult for PID controllers include large time delays and high-order dynamics.