legaturi--cadre

不同的ESPRIT算法，包括总体最小二乘ESPRIT算法，最小二乘ESPRIT算法。(different ESPRIT algorithm,including TLS-ESPRIT algorithm and LS-ESPRIT algorithm.)

捷联惯导四元数误差模型，采用ukf作为滤波方法。(nonlinear alignment method for sins)

一本经典的书籍，关于matlab和语音处理的(A classic book on matlab and speech processing)

EP1C6Q240C8的examples 鼠标口测试程序(The examples I EP1C6Q240C8 mouse test procedures)

Antenna and EM Modeling with MATLAB - Sergey N. Makarov.rar

Matlab simulink中S函数的写法,效果不错，可以仿真。(Written in Matlab simulink S function, good results can be simulated.)

matlab毕业编程【谷速软件】Breasting海豚加载横向的桩(Graduation matlab software programming speed [Valley] Breasting laterally loaded pile dolphins)

运用4阶高阶累积量的MUSIC算法具有更高的测向精度，需要较低的信噪比(Using 4-order cumulant of the MUSIC algorithm has higher accuracy of finding the need to lower signal to noise ratio)

一个基于张量的工具包，工具包中包含了HOSVD。(a tensor toolbox)

调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads 5.学习遗传算法如果首先用熟相关工具箱的话，能够先培养信心，然后更有兴趣去专研和了解具体的算法，如果就用现有的工具箱就能解决问题的话，不了解其详细的算法也未尝不可，毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧, ( The debugging uses the Matlab edition is 6.5, gatbx-toolbox debugs the toolbox which in the process uses, somewhat warm-hearted ground the friend already to provide this toolbox, the reason that pasted again, was because under 6.5 editions debugged this toolbox to be able to present some wrong prompts, had already carried on the correction in this edition, will use this toolbox only to need to compress package of under gatbx and gatbx Test_fns joins to the Matlab search path then, moreover gatbx-origin was the primitive edition toolbox which the Sheffield university provided, has not made any modification, both might make the comparison are the example debugging sound code and various examples debugging explained with 3.gatbx-example, everybody might compare the original bookCarries on comparison 4. in my opinion under the gatbx toolbox s to be able to let the human compared with Matlab7 update gads toolbox be familiar with the understanding genetic algorithm principle and)