registration-matlab-csh

This file is for GMM TEST

matlab算法大全之微分方程建模，很有用的编程书籍(the matlab algorithm Daquan differential equations modeling)

fft算法在matlab上的实现，东南大学研究生项目所用(fft algorithm realization in matlab, used by the seu postgraduate)

dfrft离散分数阶傅里叶变换的matlab程序，适合入门(Discrete fractional Fourier transform of the matlab program, suitable for entry )

高等數位訊號處理第九章作業 可以參考看看 裡面還有其他章作業(Advanced Discrete-Time Signal Processing )

说明：  利用matlab实现了遗传算法，并利用该算法对一般的连续函数进行了求最值的问题 (Using the genetic algorithm matlab implementation and use of the method of continuous functions in general for finding the best value problems)

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)

harrlike算法实现人脸检测和定位方法，MATLAB环境，经测试，效果非常好(harrlike algorithm face detection and localization methods, MATLAB environment, tested, very good results)

Batch Least Square ALgorithm

This is a simple position location algorithm using Least Square Estimation algorithm. Timing information is time of flight (TOA) of signal between Tx and Rx. This code generally describes the Positioning method, Also it plots final coordinate of node in 2D. All other information was inlcuded as comments in source code.