求解Lambert问题

一个很好的开源项目管理系统源代码，大家可以部署测试，看看效果如何。-A very good open-source project management system source code, we can deploy the test to see how.

本文件用于广义帕累托分布及其参数的估计模拟(Pareto distribution parameter estimation)

说明：  基于unittest的测试用例代码，仅供参考(Unittest-based test case code,for reference only)

超声法检测混凝土缺陷技术规程，属于行业资料．工程检测资料(Ultrasonic Detection of defects in concrete technology in order and the information belongs to the industry. Project Detection information)

改进版的pso， 收敛速度更加快，而且不会陷入局部最优(The improved version of PSO has faster convergence and does not fall into local optima.)

鲁棒控制-俞立-清华大学出版社，详细介绍了鲁棒控制的原理和LMI的基本知识和编程方法，是高清版(Robust Control-Yu Li-Tsinghua University Press, introduces the principle of robust control and the basic knowledge and programming method of LMI in detail. It is HD version.)

基于poisson blending的图像处理(Image processing based on Poisson blending)

说明：  计算EEG数据集的锁相值（PLV）。 ％ ％输入参数： eegData是3D矩阵numChannels x numTimePoints x numTrials srate是EEG数据的采样率filtSpec是用于在期望的感兴趣频带中过滤EEG信号的滤波器规范。 它是一个具有两个字段的结构，顺序和范围。 范围指定频带的限制，例如，对于伽马频带，使用filtSpec.range = [35 45]。 在filtSpec.order中指定FIR滤波器的顺序。 一个有用的经验法则可以包括约4到5个周期的所需信号。 例如，对于以500Hz采样的eeg数据，filtSpec.order = 50对应于100ms并且包含~4个周期的γ波段（40Hz）。(Computes the Phase Locking Value (PLV) for an EEG dataset. % % Input parameters: % eegData is a 3D matrix numChannels x numTimePoints x numTrials % srate is the sampling rate of the EEG data % filtSpec is the filter specification to filter the EEG signal in the % desired frequency band of interest. It is a structure with two % fields, order and range. % Range specifies the limits of the frequency % band, for example, put filtSpec.range = [35 45] for gamma band. % Specify the order of the FIR filter in filtSpec.order. A useful % rule of thumb can be to include about 4 to 5 cycles of the desired % signal. For example, filtSpec.order = 50 for eeg data sampled at % 500 Hz corresponds to 100 ms and contains ~4 cycles of gamma band % (40 Hz).)

非常有用的资料，做硬件设计的工程师必须会的基础内容-Very useful information to do hardware design engineers must be the basis of content

说明：  这是一种新的结合方式，对参数进行优化 取得更好的结果(This is a new way to optimize the parameters and get better results)