-
d
说明： 在MATLAB上用于产生WCDMA 仿真信号源的源程序(In MATLAB on WCDMA simulation used to produce the source signal source)
- 2009-03-14 20:58:33下载
- 积分：1
-
bfgs
采用Bfgs算法解决光滑的半监督支持向量机，并采用不同的光滑函数进行比较(Using Bfgs algorithm to solve the smooth semi-supervised support vector machines, and using smooth function to compare different)
- 2014-02-11 21:10:45下载
- 积分：1
-
sfa_tk101.tar
慢特征分析 sfa matlb源程序 参考文献： Wiskott, L. and Sejnowski, T.J. (2002), "Slow Feature Analysis: Unsupervised Learning of Invariances",(Slow feature analysis SFA MATLB source program)
- 2021-03-17 17:09:20下载
- 积分：1
-
P_ZF_SIC
mimo系统中zf-sic，mmse-sic算法，仿真以及性能分析。(Zf-sic, mmse-sic algorithm, simulation and performance analysis in MIMO system.)
- 2018-12-18 15:49:57下载
- 积分：1
-
fenxing
说明： matlab的分形程序：康托集，koch树等(matlab fractal procedures: Cantor sets, koch trees, etc.)
- 2008-12-07 18:52:26下载
- 积分：1
-
Matlab_Test
matlab在控制系统中的运用，模糊控制中的传递函数(matlab control system, fuzzy control of the transfer function)
- 2012-08-10 23:05:44下载
- 积分：1
-
noupao
采用累计贡献率的方法，包括AHP，因子分析，回归分析，聚类分析，直线阵采用切比学夫加权控制主旁瓣比。( The method of cumulative contribution rate Including AHP, factor analysis, regression analysis, cluster analysis, Linear array using cut than learning laid upon the right control of the main sidelobe ratio.)
- 2016-06-04 13:45:11下载
- 积分：1
-
可以编译的超像素图像分割算法程序
单径或多径瑞利衰落信道仿真，滤波求和方式实现宽带波束形成，对球谐函数图形进行仿真,独立成分分析算法降低原始数据噪声，使用大量的有限元法求解偏微分方程，基于掌纹识别的在线身份验证 识别算法本科毕设。
- 2022-01-28 04:52:27下载
- 积分：1
-
cycle_test_algrithm
lDPC校验矩阵的环检测。包括4环检测算法，6环检测算法及8环检测算法。还包括一个准循环LDPC奇偶校验矩阵的生成算法。(this algrithm can search cycles in LDPC parity check matrix。It contain cycle-4 cycle-6 cycle-8 test algrithm.It also contains a algrithm for generate the LDPC quasi-cyclic parity check matrix )
- 2010-03-11 13:46:50下载
- 积分：1
-
mtVector
Vector is the basic data structure in MATLAB. It provides easy, fast, effective, and scalable data structures giving programming an algebraic view for data, even for complex data structures. Matlab allows you do develop fast technical solutions. However, MATLAB loops, and UIs are too slow :o. It is your responsibility to reformulate your code and data structures into matrices and vectors.
For example, to sum up a vector, you can write a simple counting loop. However, it is faster to use inner product with a vector of ones.
- 2009-08-30 00:42:12下载
- 积分：1
