bartlett

这是一款非常优秀的matlab编写的支持向量机程序，对分类效果非常好。(This is a very good prepared matlab support vector machine procedures, the classification results very good.)

以上代码是求解椭圆微分算子的特征值问题的Matlab源代码，采用有限元法的思想来编写的，程序计算结果和理论是相符的。(The above code is to solve the elliptic differential operator eigenvalue problem of the Matlab source code, using the finite element method to write the ideas, procedures, results and theoretical calculation is consistent.)

Debye级数展开模型计算双层球形粒子散射角——散射光强曲线： 1. RB1.m 计算第一类Ricatti-Bessel函数的函数 2．RB2.m 计算第二类Ricatti-Bessel函数的函数 3. Alegendr.m 计算角函数 和 的函数 4. MieCoeff.m 计算米尔系数的函数 5. Amp.m 计算散射光复振幅的函数 6. DebyeIntensity.m Debye级数展开模型画包覆粒子散射角-光强图 (Debye series expansion model double spherical particle scattering angle- scattering intensity curve: 1. RB1.m calculated first class Ricatti-Bessel function of the function 2. RB2.m calculate the second category Ricatti-Bessel function of the function 3. Alegendr.m computing angle functions and function 4. MieCoeff.m Mill coefficient calculation function 5. Amp.m calculate the scattering amplitude recovery function 6. DebyeIntensity.m Debye series expansion model painted coated particle scattering angle- light intensity diagram)

基于matlab环境的SVM程序，SVM可用于分析小样本，以做遥感影像的分类处理(Matlab environment based on SVM procedure, SVM can be used to analyze small samples to make remote sensing image classification)

波束形成算法中相对于阵列分辨率的空间分布图(Beamforming algorithm based on space maps of the array resolution )

卷积码的编码和译码的matalb程序，译码算法采用viterbi算法(Convolutional encoding and decoding matalb procedures decoding viterbi algorithm using)

说明：  

这是CISS会议上发表的著名论文“Tensor Canonical decomposition based method for blind identification of MIMO system with 3-input 2-output case”的源程序，主要是讲基于张量规范分解的多天线系统的忙识别问题，里边包含了相应的文章，可以一起对照着看。(conference on the famous treatise "Tensor Canonical deco mposition based method for blind identificati on of MIMO system with 3-input 2-output case, "the source procedures, primarily based on stress tensor decomposition of standardized multiple antenna system to identify problems in the 1980s, contained inside a corresponding article, can work together to look to see.)

The primary objective of the QRD-M detector is to identify the candidate list. The QRD-M algorithm is a breadth-first tree search. It views all the branches it will ever consider for a given stage of the detection tree and then rejects all but the Mi best nodes at the i-th detection stage before continuing on to the next stage.

用线性插值法求单摆运动周期的近似解,及做图比较.(Find by linear interpolation of the approximate solution pendulum movement cycle, and do Charts.)