非线性SVM 比较

指导您进行matlab7的安装，讲解它的基本使用方法和组成，包括数值向量和数组，字符串和单元数组，数值计算功能图像处理等，还包含几个简单的程序设计。(Guide you matlab7 installation, explain its basic use, including numerical vectors and arrays, strings and cell arrays, numerical calculation function image processing, the program also contains a few simple design.)

用于comsol和matlab直接的二次开发(For comsol and matlab direct secondary development)

Vine copula for C vine和 D vine的估计等。(Vine copula for C vine and D vine.)

在这项工作中,我们提出一个基于混沌的集成　　抖动升压电路用于多个振荡器抽样真的　　随机数发生器的架构。多个环形振荡器　　真正的随机数生成器需要大量　　戒指的积累内在抖动的逆变器　　有用的水平。因此,他们占领大的硅区域和消费　　大量的权力。该电路提供　　另一种方法推动使用混乱的抖动　　动态生成的两个环形振荡器的非线性耦合　　需要更少的组件的数量。的简单性　　提出了电路提供高集成和内在潜力　　面积和功耗低等优点。混沌动力学　　研究了电路的使用数值和电路　　模拟。测量测试芯片实现的结果　　250纳米CMOS技术(In this work, we present a chaos based integrated jitter booster circuit for use in multiple oscillator sampling true random number generator architecture. Multiple ring oscillator based true random number generators need significant number of rings for accumulating the intrinsic jitter of inverters to a useful level. Thus, they occupy large silicon area and consume considerable amount of power. The proposed circuit offers an alternative approach for boosting jitter using the chaotic dynamics generated by non-linear coupling of two ring oscillators that require fewer number of components. The simplicity of the proposed circuit offers high integration potential with inherent low area and power consumption advantages. Chaotic dynamics of the circuit was studied using both numerical and circuit simulations. Measurement results of the test chip implemented at 250nm CMOS technology node confirmed chaotic behavior and jitter boosting capability. To the very best of our knowled)

说明：  3GPP LTE中上行虚拟MIMO比例公平调度算法的源程序代码(Virtual MIMO in 3GPP LTE uplink proportional fair scheduling algorithm source code)

hand write recognition using HMM matlab

可以动态调节运行环境的参数，调试通过可以使用，粒子图像分割及匹配均为自行编制的子例程，用于信号特征提取、信号消噪，使用matlab实现智能预测控制算法，BP神经网络用于函数拟合与模式识别。

强化学习的Q算法matlab代码。适合寻找最优路径。让您对q算法一定有直观的理解！(A matlab program about Q of Reinforcement Learning Algorithm )

matlab例程MATLAB 6.x版的内建数据类型（Built-in data type）就有5种以上，此外还有许多其他专门设计的类（Class），如符号类、内联函数类、控制工具包中的线性时不变模型类、神经网络类等。就程序设计而言，MATLAB 6.x版采用了面向对象编程技术。数据和编程的改变使用户能更简捷而自然地解决复杂的计算问题（如符号计算问题、多变量控制系统问题、神经网络问题）。本章内容根据MATLAB6.5编写，但绝大部分内容适用于其他MATLAB6.x版本。(Matlab routines MATLAB 6.x version of the built-in data types (Built-in da ta type) have more than five, in addition to many other specialized design category (Class). If symbol, which together function category, tool kits control the linear time-invariant model type, neural network type. On the design process, using MATLAB 6.x version of the object-oriented programming technology. Programming and data changes so that users can more simple and natural solution to the complex calculation (as symbolic computation, multivariable control systems, neural networks). According to the contents of this chapter MATLAB6.5 preparation, But most of what applies to other MATLAB6.x version.)

OSIC（排序的连续干扰消除）信号检测仿真程序，实现不同的OSIC信号检测方法：基于SINR排序、基于列范数排序、基于检测后的SNR排序(OSIC (ordered successive interference cancellation) signal detection simulation program OSIC achieve different signal detection method: SINR based sorting, sorting based on the norm of the columns, after the detection ordering based SNR)