Pso_max

qr法求特征值和特征向量 QR法能够避免矩阵奇异带来的错误，并能求解特征值有重根的情况(qr France seek eigenvalues and eigenvectors QR method can avoid the matrix singularity caused by errors, and can solve the eigenvalue of the double roots)

压缩包内源码的主要用途是：ASK调试方式的matlab实现(The main purpose of this source is the matlab implementation of ASK debug mode)

The purpose of this study guide is to prepare you for the Sun Certified Java Associateexam. This preparation will be accomplished by familiarizing you with the necessaryknowledge related to Java fundamentals, tools, and technologies that will be represented on the exam.

产生周期大于500的逆M序列matlab程序。(The inverse M-sequence production matlab program.)

该演示中包含的代码演示如何氡相似的功能，可以用来提高（以及部分）在Connectome电磁图像单元格边界。 请举出下列文件如果您发现此代码有用： Ritwik库马尔，阿梅里奥五雷纳和Hanspeter Pfister说“氡样的特点及其应用Connectomics”，接受，IEEE计算机学会研讨会在生物医学图像分析（MMBIA）2010年数学方法 http://seas.harvard.edu/〜 rkkumar radonLikeFeaturesDemo.m：演示边缘增强用氡相似的功能， getEdgeFeatures.m：助手为高斯函数的二阶导数滤波器 makeBarFilters.m：助手为高斯函数的二阶导数滤波器 sample.png：示例图像在此演示使用(The demo included in the code demonstrates how Radon-Like Features can be used to enhance (and segment) cell boundaries in Connectome EM images. Please cite the following paper if you find this code useful: Ritwik Kumar, Amelio V. Reina & Hanspeter Pfister, “Radon-Like Features and their Application to Connectomics”, accepted, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2010 http://seas.harvard.edu/~rkkumar radonLikeFeaturesDemo.m : Demonstrates edge enhancement using Radon-Like Features getEdgeFeatures.m : Helper function for Gaussian Second Derivative Filters makeBarFilters.m : Helper function for Gaussian Second Derivative Filters sample.png : Sample image for use in this demo )

一个空间桁架的优化粒子，与OPENSEES联合应用，求解速度较快，可供参考。(Optimization particle space truss, combined with OPENSEES solved faster, for reference.)

量化程序，采用标准的Loyd-Max algorithm，提供了一个实例，并对结果进行了分析。很有学习的价值。(Quantification procedures, the use of standard Loyd-Max algorithm, provides an example of the results are analyzed. Great learning value.)

application de filtre de kalman sur la deconvolution

相参脉冲串，学习雷达有帮助，参数可自行设置，很方便。(Coherent pulse train, to learn radar help, the parameters can be set easily.)

PeMAQ16 error probability for 16qam modulation