kalman

多径信道仿真，包括波形成形，信噪比，功率普密度分析(multipath channel emulation, including waveform shape, signal to noise ratio, power density analysis Cape)

This is an intuitive sudoku solver in matlab.

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)

Machine learning 在线课程 exercise1(Machine learning online courses exercise1)

14 bus model using matlab and psat for load flow

图像分割的matlab代码，运行效果很好的。(Image segmentation matlab code, run very good.)

这是一篇地震的数学理论方面的文章，希望能对大家有帮助(This is a mathematical theory of an article of the earthquake, I hope you can help)

曲柄摇杆机构的动力学计算，为机器人动力学的建模很有用，采用龙格库塔法，精度高，为后续控制奠定基础(Dynamics calculations crank rocker mechanism for the robot dynamics modeling is useful, using Runge-Kutta method, high precision, laying the foundation for the subsequent control)

部分院校的数字信号处理的matlab的实验(Some institutions of digital signal processing matlab experiment)

region based growing