signal_analyszer

说明：  提供了在Matlab中如何进行流场的动态模拟.通过这个是提供给想用Matlab作动态模拟的人一个思路(Matlab provides the flow field in how to carry out the dynamic simulation. Through this is to provide to want to use Matlab for dynamic simulation of a thinking person)

说明：  遗传算法（Genetic Algorithms）在matlab中的应用(Genetic Algorithms (Genetic Algorithms) applied in matlab)

说明：  羽毛球排的跟踪程序!非常的游泳,自己多看看(Badminton schedule follow-up procedures! Is the swimming, take a look at their multi-)

各种灰色T型关联度代码，修正的T型关联度，改进的T型关联度,邓氏关联度，绝对关联度，相对关联度等。非常方便！(Various gray T-correlation code, modified T-correlation, improved T-correlation, Tangs correlation, absolute degree, associate degree relative. Very convenient!)

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)

image hiding introduction procedure

模板匹配matlab例子，自动从输入图像识别目标模板，计算机视觉领域一个基础的算法。(Template matching matlab example, automatic target recognition template the input image, a computer vision-based algorithms.)

[model] = SVMTRAIN(X, Y, C, kernelFunction, tol, max_passes) trains an SVM classifier and returns trained model. X is the matrix of training examples. Each row is a training example, and the jth column holds the jth feature. Y is a column matrix containing 1 for positive examples and 0 for negative examples. C is the standard SVM regularization parameter. tol is a tolerance value used for determining equality of floating point numbers. max_passes controls the number of iterations over the dataset (without changes to alpha) before the algorithm quits.

matlab 优化问题 小生境和蚁群算法的结合 能运行(matlab optimization niche and the combination of ant colony algorithm can run)

数字信号处理离散系统响应的MATLAB程序，对学习系统响应有帮助(some matlab codes for study system respond in diginal signal processing.)