-
wok
说明： 基本的一百个matlab源程序分享，欢迎下载，一一分享，(language of matlab important)
- 2010-03-18 19:16:29下载
- 积分：1
-
MMUSC
改进型的MUSIC算，该算法主要用于阵列的DOA估计(modified music method)
- 2012-05-03 22:37:11下载
- 积分：1
-
delete-vars-from-eval
Variable declarations in eval() must introduce delete-able vars.
- 2014-01-12 10:09:29下载
- 积分：1
-
si1010_TxTone_setup
这个是silabs的芯片si1010的发射单音信号的实例，因为涉及保密，所以修改了一部分，测试可用(This is an example of the tone signal transmitter chip si1010 silabs, and because it involves confidential, so modify the part of the test can be used)
- 2014-01-13 09:30:30下载
- 积分：1
-
Simulink_simulation_of_transmission_lines
Simulink simulation of transmission lines(pdf)
- 2009-10-22 22:14:17下载
- 积分：1
-
EZW
jpeg compressionnnnnnnn
- 2010-01-02 09:46:46下载
- 积分：1
-
outrage_probabilty
基于协作的认知无线电中，AF，DF协议及未采用协作分集技术的中断概率的实验仿真程序(In collaborative spectrum sensing cognitive radio, AF, DF protocol and did not use cooperative diversity outage probability experiment simulation program)
- 2013-07-29 11:27:25下载
- 积分：1
-
kelmanmatlab
卡尔满滤波的matlab程序，可以用的，可以试一试，并修改一下(Carl full matlab filtering procedures can be used to try and make some corrections)
- 2009-05-08 21:02:58下载
- 积分：1
-
VC-Matlab
详细阐述了vc和MATLAB混合编程的实现方式，方法，学会如何在matlab中用c语言进行编程开发(Elaborated vc mixed programming and MATLAB implementations, methods, learn how to matlab programming using c language development)
- 2011-10-08 19:11:52下载
- 积分：1
-
RVM_matlabToolBox
相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)
- 2013-11-21 11:05:48下载
- 积分：1
