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math_exp
包括插值与拟合，解代数方程组，解微分方程，优化问题等一系列源程序(Including interpolation and fitting, to solve algebra equations, solving differential equations, optimization problems and a series of source code)
- 2010-07-11 13:03:39下载
- 积分：1
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IDMA
说明： 交织分复用多址(IDMA)的matlab程序。IDMA可以通过简单的迭代运算分离各用户的信号，是一种有前途的技术。(matlab program for Interleaver division multiple accessing(IDMA).)
- 2011-03-17 21:14:52下载
- 积分：1
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TDOA
双站交叉定位误差展示程序 产生观测数据
假设被定位对象匀速地从A点(dx1,dy1)运动到B点(dx2,dy2)，单位：km
使用速度输入V(km/h)，则dx2=V*t，t为观测时长(h)
dy1=dy2=R，目标距离
假设采样时间间隔为1h(Bistatic cross-positioning errors show program)
- 2012-04-09 20:42:14下载
- 积分：1
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CMA
使用matlab对CMA算法进行仿真。其中比较了不同步长对CMA算法的影响。(Use matlab to simulate the CMA algorithm. Which compared the length of sync on the CMA algorithm.)
- 2012-05-31 14:52:10下载
- 积分：1
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usgs_dem_1
对于高程数据的处理，通常需要各种格式之间的转换，此程序是将usgs高程数据转为dem格式的数据。(For the treatment of elevation data, usually need to convert between various formats, this program is the USGS elevation data to DEM format data.
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- 2014-11-23 19:56:21下载
- 积分：1
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jicebianliuqi
永磁同步电机基侧变流器simlink仿真，可直接运行(PMSM base side converter simlink simulation can be run directly)
- 2015-04-16 21:00:49下载
- 积分：1
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BLDCM_start_and_generator
一款用于无刷直流电机的起动和发电一体化simulink仿真模型。(A brushless DC motor used for starting and power generation simulink simulation model integration.)
- 2009-03-22 15:38:43下载
- 积分：1
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matlabfitellipsecode
说明： 对离散数据运用最小二乘法进行椭圆拟合，运行过了觉得还不错就上传了。(Discrete data on the use of least squares method for ellipse fitting, run over a feel good on the uploaded.)
- 2008-12-05 11:12:05下载
- 积分：1
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BER-simulation-for-BPSK-with-AWGN
With this matlab codes one can simulate BER for BPSK Modulation with added noise in various steps
- 2014-02-20 19:40:31下载
- 积分：1
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SPGP_dist
这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of
test inputs. You need to supply a set of pseudo-inputs or basis
vectors for the approximation, and suitable hyperparameters for the
covariance. You can use any method you like for finding the
pseudo-inputs , with the simplest obviously being a random subset of
the data. It is coded for Gaussian covariance function, but you could
very easily alter this. It is also fine to use for high dimensional
data sets.
spgp_lik is the SPGP (negative) marginal likelihood and gradients
with respect to pseudo-inputs and hyperparameters. So you can use this
if you wish to try to optimize the positioning of pseudo-inputs and
find good hyperparameters, before using spgp_pred . I would recommend
initializing the pseudo-inputs on a random subset of the data, and
initializing the hyperparameters sensibly. Its current limitations are
that 1) it is slow and memory intensive for high dimensional data sets
2) it is heavi)
- 2021-05-13 07:30:02下载
- 积分：1
