part-background-update

关于随机共振的所有实例，有势阱含义的动画显示，有随机共振系统检测微弱信号，还有输入输出的信噪比计算，非常好的源程序，希望对您有帮助(You can use those files to learn the concept of sr.)

User Manual for STABLE 5.1(This manual gives information about the STABLE library, which computes basic quantities for univariate stable distributions: densities, cumulative distribution functions, quantiles, and simulation. Statistical routines are given for fitting stable distributions to data and assessing the fit. Utility routines give information about the program and perform related calculations. Quick spline approximations of the basic functions are provided. Densities, cumulative distribution functions and simulation for discrete/quantized stable distributions are described. The multivariate module gives functions to compute bivariate stable densities, simulate stable random vectors, and fit bivariate stable data. In the radially symmetric case, the amplitude densities, cumulative distribution functions, quantiles are computed for dimension up to 100. The signal filtering module includes functions to compute non-linear filters for signals with heavy tailed noise. Specifically, a novel stable fi)

功能近红外光谱信号的极限漂移与其有用信号重叠，高通滤波会对有用信号产生影响，该方法可有效出去极限漂移(program for fNIR detrending)

求序列的自相关和互相关值的matlab实现！(The function for solving the autocorrelation and cross correlation values)

OMNet++的一个例子，实现了简单的路由。重要的语句后面加上了注释，适合初学者，非常有用。(A example about wirless network for OMNet++.)

2 D Navier Stokes Equation

BP神经网络的预测应用，结果表明神经网络有良好的预测精度，对实际生活有指导作用(The prediction of BP neural networkThe results show that neural network have good precision, and to the actual life has a guiding role )

Content-addressable memory (CAM) is a special type of computer memory used in certain very-high-speed searching applications. It is also known as associative memory, associative storage, or associative array, although the last term is more often used for a programming data structure.

说明：  跳频参数估计论文通过各种时频分析方法进行处理(Hopping parameters estimated paper through a variety of time-frequency analysis method for processing)

Speech oscilloscope using matlab