-
QPSK_CE_block
说明: 该程序实现OFDM系统中块状导频的信道估计,块状导频用于时变较慢的多径信道,可以估计出每个载波上的信道传输情况。(The programme realizes channel estimation with block pilots.)
- 2010-04-06 17:04:49下载
- 积分:1
-
power_svc_1tcr3tsc
TCR型静止无功补偿simulink仿真模型(TCR type static var compensator simulink simulation model)
- 2012-12-17 10:17:57下载
- 积分:1
-
a24to10pi_zhudianlutu
24V到10VDC-DC变换器,PI控制仿真模型(24V to 10VDC-DC converter, PI control simulation model)
- 2016-12-24 14:43:46下载
- 积分:1
-
OMP
说明: 正交匹配追踪OMP算法,包含算法本身、单次重构测试、不同测量数恢复率以及不同稀疏度恢复率。该算法主要参考自CSDN博客上的文章。(Orthogonal matching pursuit OMP algorithm, including the algorithm itself, single reconstruction test, recovery rate of different measurements and different sparsity recovery rate. This algorithm mainly refers to articles from CSDN blog.)
- 2021-03-15 18:28:21下载
- 积分:1
-
MatlabFem
Matlab有限元程序,是书he Finite Element Method Using MATLAB中的源程序(Finte element using matlab, source code)
- 2010-01-09 22:45:36下载
- 积分:1
-
用matlab写的GUI图像时钟程序
一个用matlab写的GUI图像时钟程序,还显示日期,时钟读取的是系统时间,很有趣,感兴趣的朋友可以下下来看看( matlab write GUI image clock programs, but also to display the date, the clock read is the system time, very interesting, interest friends can look down
)
- 2011-02-05 11:29:16下载
- 积分:1
-
qpsk_matlab
这是我编写的基于Matlab的QPSK调制解调的仿真程序,希望对大家有所帮助(This is what I prepared in Matlab based on the QPSK modulation and demodulation of the simulation program, and they hope to help everyone)
- 2007-07-12 20:15:03下载
- 积分:1
-
cantera
国外经典化学反应计算开源程序Cantera,基于MATLAB(Calculation of chemical reaction of foreign classic open source Cantera, based on MATLAB)
- 2021-03-14 16:29:23下载
- 积分:1
-
ADPCM
说明: adpcm编码,包括了普通的编码和g.721协议的编码。(adpcm encoding&decoding)
- 2011-02-21 10:15:19下载
- 积分:1
-
adaboost_version1e
这是一个经典的形变模型实施,在一个单一的文件用简单的可以理解的代码。
功能包括两部分一个简单的弱分类器和一个促进部分:
弱分类器试图找到最佳阈值的数据维数对数据进行分离成两个阶级1和1
要求的进一步提高分类器部分迭代,每一步是变化分类权重miss-classified例子。这造成了一连串的“弱分类器”,表现得像一个“强大分类器”
(This a classic AdaBoost implementation, in one single file with easy understandable code.
The function consist of two parts a simple weak classifier and a boosting part:
The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1
The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier"
.
)
- 2012-04-23 13:17:57下载
- 积分:1