watershed

一本很好，很全的控制，系统仿真书籍，资料，也可以做虚拟仪器的参考资料

说明：  在前面1维，2维的基础上继续推出3维的FDTD程序，可以帮助解决复杂的3维电磁散射问题，适用范围更广。这个程序给出计算要求的参数即可运行。(in front of one-dimensional, two-dimensional basis continue to offer three-dimensional FDTD procedures, which can help to solve the complex three-dimensional electromagnetic scattering problems, which have wider applicability. This procedure gives the parameters computing requirements can run.)

利用沈左右算子及直方图信息，提取目标区域的纹理特征。(Shen and histogram information about operator is employed to extract texture features of the target area )

进行逐步线性回归，采用的是脉冲对消法，使用起来非常方便，分析了该信号的时域、频域、倒谱，循环谱等,正确率可以达到98％，有小波分析的盲信号处理，包含特征值与特征向量的提取、训练样本以及最后的识别。( Stepwise linear regression, It uses a pulse of consumer law, Very convenient to use, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Accuracy can reach 98 , There Wavelet Analysis Blind Signal Processing, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition.)

The combination of EEM fluorescence and parallel factor analysis has proved to be a promising tool for studying DOM. These relatively inexpensive fluorescence measurements can be used in combination with other measurements to rapidly quantify and characterize DOM across a range of environments. This approach also has great potential in a wide range of other applications such as drinking water monitoring, waste water treatment control and the evaluation of ballast water exchange in ships. However, as with many new techniques, it is not as straightforward as could be desired and there are a range of potential pitfalls. For the approach to persist and become a trustworthy method, a basis for a standardized approach was required.

MUSIC 算法一个程序，给出了很详细说明(A matlab source program of music ,with Very detailed description of)

多元逐步回归算法,在matlab软件中的运用,简单实用 (multiple stepwise regression algorithm in Matlab software on the use of simple and practical)

卡尔曼滤波算法的MATLAB源码程序，及其应用(Kalman filtering algorithm MATLAB source programs, and its application)

this directivity function written in matlab version

Matlab 时频分析技术及其应用Matlab 时频分析技术及其应用Matlab 时频分析技术及其应用(Matlab 时频分析技术及其应用)