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随机共振运用于弱信号检测，同时对于其中的频谱能够很好的分析。(Weak signal detection applied to stochastic resonance, while for the spectrum which can be a good analysis.)

最近找的求解方程的程序，可以借鉴下，挺好的(Solving equations to find the most recent program, you can learn, the very good)

自动画圆小程序 ：只要有了坐标，就可以方便的大量快速画圆(Automatic Circle applet: As long as with the coordinates, you can quickly draw a circle to facilitate a large number of)

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Four versions of the simulation is available. tsim.cpp - Prints visual representation of the simulation tsimd.cpp - Prints Density versus output flow rate and average velocity tsiml.cpp - Prints Lane Change Probabiliy versus Output flow rate and Average velocity

灰色模型GM(1,1)的matlab代码(Gray model)

语音小波去噪方法的matlab实现 比较基础 可以看看(Voice Wavelet Denoising matlab can look at the basis for comparison)

通过粒子滤波来跟踪目标 可以在vs2008下直接运行(Through the particle filter to track the targets can be run directly under vs2008)

最近邻分类器是一个用来聚类的算法，可以用来对iris数据进行聚类(k-means is a neanest alogorim)

混沌时间序列Matlab源程序,包含时间序列的时间延迟计算，关联积分计算，相空间重构，时间序列分解，Heaviside函数的计算，延迟时间和时间窗口计算，混沌吸引子关联维计算，重构相空间进行K_L变换，混沌吸引子关联维计算，Hurst指数分析，关联维和Kolmogorov熵计算，FFT计算序列平均周期，最大lyapunov指数计算，利用互信息法求时间延迟，混沌和噪声识别的源程序。(Matlab chaotic time series source, time includes the time series of delay calculation, correlation integral calculation, phase space reconstruction, time series decomposition, calculated Heaviside function, the delay time and the time window calculated correlation dimension of chaotic attractors calculated reconstruction phase space K_L transform computing correlation dimension of chaotic attractors, Hurst exponent analysis, correlation dimension and Kolmogorov entropy calculation, FFT calculation sequence averaging period, maximum lyapunov index, mutual information method the time delay, chaos and noise source identification.)