CUM3X

truss solver with bridge

Simulation poulse wave on matlab try it

相干信号源实现一二阶前后双向线性预测，绝对是好程序(Order to achieve a coherent signal before and after the bi-linear prediction)

这是matlab编写的Logistic Discrimination 和 KNN分类器代码。这两个算法的实现参考了《Introduction to Machine Learning》。 除此在代码中还包含了调用matlab自带的libsvm的例程。rumLogisticDiscrimination， runKnn， runSvm分别对这3个算法在数据集liver_train_data上的分类准确度进行测试。测试结果在code report.doc 中有简要描述。(This code implements the Logistic Discrimination and KNN classifier. The implementation is according to the text book <<Introduction to Machine Learning>>. We have also compared the classification accuracy among Logistic Discrimination, KNN and SVM on data set liver_train_data. A brief test report is included as well. Enjoy :).)

MATLAB插值与数据拟合、样条插值与数值微积分、由已知数据拟合数学模型、信号分析与数字信号处理基础(MATLAB interpolation and data fitting, spline interpolation and numerical calculus, from the known data fitting mathematical model, signal analysis and digital signal processing-based)

说明：  麦克风阵列的自适应波束形成Matlab仿真，麦克间距和信号带宽可调，采用最小均方自适应波束形成算法(microphone array of adaptive beamforming Matlab simulation, and signal spacing Mike adjustable bandwidth, using LMS adaptive beamforming algorithms)

说明：  基于ADABOOST的人脸检测程序，有分类器训练和测试(face detection based on adaboost)

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)

FCM聚类模型，通过load本地数据就可以聚类出分类。(FCM clustering model )

mais il faut connaî tre quelques extensions de syntaxe que nous allons introduire dans ce Guide d’utilisation du logiciel MATLAB