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uwb
有关uwb的程序,很有用的,是用matlab编的(Procedures for the uwb, very useful, is compiled matlab)
- 2010-06-05 01:55:33下载
- 积分:1
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MFIEE
电磁数值等效在二维散射中的应用,是一个m文件(Magnetic field integral equation for 2-D cylinder scattering)
- 2009-11-13 16:11:03下载
- 积分:1
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m-files
求一个给的的信号输入的平均频率的matlab程序(to find average frequency of a signal)
- 2009-05-12 01:24:15下载
- 积分:1
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2
说明: Jacobi迭代算法和Gauss-Seidel迭代算法的具体matlab实现(Jacobi iterative algorithm and Gauss-Seidel iteration algorithm matlab achieve)
- 2012-12-28 19:26:44下载
- 积分:1
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123456wavelet_s_layer_2
关于压缩感知的单层小波变换的,对低频部分保留传输,高频部分进行观测从而达到压缩的目的(On compressed sensing single wavelet transform, the low frequency part of the reserved transmission, the high-frequency part of the observations so as to achieve the purpose of compression)
- 2014-01-15 21:20:30下载
- 积分:1
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System-Identification-of-an-ARARX-model-master
使用MATLAB对MIMO系统进行辨识,其中有各种算法仿真算例,N4SID,针对多变量系统的一种识别算法(MOESP (Multivariable Output-Error State sPace) is a deterministic method to identify linear time invariant systems. The MOESP method developed by M. Verhaegen and P. Dewilde is based on the LQ decomposition of Hankel matrix formed from input-output data, where L is lower triangular and Q is orthogonal. A Singular Value Decomposition (SVD) can be performed on a block from the L (L22) matrix to obtain the system order and the extended observability matrix. From this matrix it is possible to estimate the matrices C and A of state-space model. The final step is to solve overdetermined linear equations using the least-squares method to calculate matrices B and D.)
- 2021-02-09 22:29:53下载
- 积分:1
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三电平SVG,dq控制策略
三电平SVG仿真模型,运行于simulink环境下,采用dq控制策略(Three-level SVG simulation model, running in simulink environment, using dq control strategy)
- 2020-06-22 01:00:01下载
- 积分:1
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neidianfa
该程序使用matlab开发的规划中的经典算法——基于对偶仿射理论的内点法,在工程中是很常用的(The program developed by the use of matlab classical planning algorithm- based on the theory of dual affine interior point method, in the projects is a very commonly used)
- 2007-11-15 06:23:56下载
- 积分:1
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kmedian
The method works as follows.
1. For a data set with dimensionality, d, compute the variance
of data in each dimension (column).
2. Find the column with maximum variance call it cvmax
and sort it in any order.
3. Divide the data points of cvmax into K subsets, where K is
the desired number of clusters.
4. Find the median of each subset.
5. Use the corresponding data points (vectors) for each
median to initialize the cluster centers.
- 2013-08-10 03:45:31下载
- 积分:1
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5
说明: , =2π, =1/2π,取采样周期 =π/2, =2/π=4 满足采样定理: ,N=5,10,20。 比较 与 。(, = 2π, = 1/2π, take the sampling period = π/2 = 2/π = 4 satisfy the sampling theorem: N = 5,10,20. Compare with.)
- 2012-11-01 23:21:34下载
- 积分:1