-
MATLAB_algorithm
matlab常用算法集，包括了信号处理的大多领域(matlab common set of algorithms, including most areas of signal processing)
- 2010-09-27 19:28:58下载
- 积分：1
-
shiyucaiyang
这是大学数字信号处理的时域采样定理验证实验程序(This is the University of digital signal processing time-domain sampling theorem verification test procedures)
- 2012-06-22 10:12:54下载
- 积分：1
-
matlab-intelligent-algorithm-30-case
MATLAB智能算法30个案例分析的源代码，都是当下比较常用的代码 啊啊啊啊啊(MATLAB intelligent algorithm 30 case analysis of the source code, are more commonly used code moment ah ah ah ah ah)
- 2013-11-05 14:42:30下载
- 积分：1
-
1111
农历时间显示农历时间显示农历时间显示农历时间显示(javascript)
- 2010-02-08 11:42:48下载
- 积分：1
-
pf_nav
粒子滤波在目标定位与跟踪中的应用，适合于非线性滤波算法研究。(Particle Filtering in target location and tracking application, suitable for nonlinear filtering algorithm.)
- 2010-05-11 20:49:34下载
- 积分：1
-
FastICA_25
FastICA programs:
FASTICAG - GUI for FastICA
FASTICA - Mfile for FastICA
functions used by FastICA:
FPICA - main algorithm for calculating ICA
WHITENV - function for whitening data
PCAMAT - calculates the PCA for data
REMMEAN - function for removing mean
ICAPLOT - for plotting the signals
- 2012-06-13 20:39:05下载
- 积分：1
-
Baoxian
组合保险策略分析 Portfolio Insurance Strategies(Portfolio Insurance Strategies)
- 2012-01-09 10:21:12下载
- 积分：1
-
FMsimulink
FM信号的调制解调的simulink仿真，亲自测试已经通过，大家可以放心下载使用。(FM signal modulation and demodulation simulink simulation, personally test has passed, you can be assured to download.)
- 2021-04-21 22:18:49下载
- 积分：1
-
AFD_interface
澳门大学钱涛教授开发的自适应傅里叶变换软件系统，附有使用手册，源码齐全，可世界使用，能实现信号的自适应分解。(Macao university professor Qian Tao developed adaptive Fourier transform software system, with a manual, complete source code, can be used in the world, to achieve adaptive decomposition of the signal.)
- 2017-05-08 15:15:08下载
- 积分：1
-
SignCorrectionInSVDandPCA
虽然奇异值分解（SVD）和特征值分解（EVD的）是行之有效的，可以通过先进的设施设备先进的算法，它不是通常所说，有一个内在的迹象，可以显着影响的不确定性的结论计算及诠释来自其结果。我们提供一个解决方案，标志模糊的问题确定了从奇异向量的内积和个人数据载体签署奇异向量的迹象。该数据可能有不同的载体，但它有它自身的定位和实际意义的选择方向，其中多数的向量点。这可以通过评估发现了内心的签署标志产品的总和。(Although the Singular Value Decomposition (SVD) and eigenvalue decomposition (EVD) are well-established and can be computed via state-of-the-art algorithms, it is not commonly mentioned that there is an intrinsic sign indeterminacy that can significantly impact the conclusions and interpretations drawn from their results. We provide a solution to the sign ambiguity problem by determining the sign of the singular vector from the sign of the inner product of the singular vector and the individual data vectors. The data vectors may have different orientation but it makes intuitive as well as practical sense to choose the direction in which the majority of the vectors point. This can be found by assessing the sign of the sum of the signed inner products. )
- 2010-07-01 09:49:23下载
- 积分：1
