MTSP_floyed

good book. has some 10 different parts , east to understand.

We propose a novel fluorescence emission difference microscopy (FED) system based on focusing cy- lindrical vector beams. In conventional FED, a Gaussian beam and a 0–2 π vortex phase plate are used to generate solid and hollow spots. We focus radially polarized and azimuthally polarized cylindrical vector beams to obtain an expanded solid spot and a shrunken hollow spot, taking advantage of the optical properties of cylindrical vector beams to improve the conventional FED performance. Our novel method enhances FED performance

基于KT指数的船舶旋回运动仿真，可以在此基础上进行修改添加，方便大家(KT index based on ship motion simulation cycle can be modified on this basis, to add, to facilitate)

说明：  通过k-means聚类算法对图像的颜色进行聚类。(The color of the image is clustered by k-means clustering algorithm.)

分别列出BP网络与som网络的代码，通过运行后可以看出同一种问题在不同网络下的处理差别。(A breakdown of BP network and som network code, by running after the same kind of problem can be seen in the different networks of processing differences.)

MATLAB多项式数值分析教程MATLAB Numerical Analysis polynomials tutorial(MATLAB Numerical Analysis polynomial MATLAB Numerical Analysis polynomials tutorial tutorial)

matlab算法大全之时间序列模型，非常棒的资料(the matlab algorithm Daquan time series model, great information)

Octave 3.2. Linear regression, cost function, minimun search.

线性预测LSM预测器，可以完成对信号的预测功能(adaptive linear prediction)

ICA介绍课件。There has been a wide discussion about the application of Independence Component Analysis (ICA) in Signal Processing, Neural Computation and Finance, first introduced as a novel tool to separate blind sources in a mixed signal. The Basic idea of ICA is to reconstruct from observation sequences the hypothesized independent original sequences(ICA Introduction courseware. There has been a wide discussion about the application of Independence Component Analysis (ICA) in Signal Processing, Neural Computation and Finance, first introduced as a novel tool to separate blind sources in a mixed signal. The Basic idea of ICA is to reconstruct from observation sequences the hypothesized independent original sequences)