-
prj
Dab simulation using convolutional encoding!! punctured convolutional code!!
- 2012-04-30 18:20:17下载
- 积分：1
-
fd
说明： 对ask fsk用matlab写出 并有图像(that is a good thing)
- 2013-11-19 16:04:04下载
- 积分：1
-
add-new-toolbox-in-matlab
系统介绍matlab中添加工具箱的方法（如何添加、添加失败的原因，调用失败的原因）(introduce how to add new toolbox to matlab)
- 2011-09-27 13:04:18下载
- 积分：1
-
PQflow
PQ分解求解 N节点网络的潮流 可以自行修改 提高收敛速度 (PQ decomposition to solve N node network trend can modify to improve the convergence speed)
- 2013-03-23 12:59:15下载
- 积分：1
-
mimo_capacity_vs_snr_waterfiling
多天线环境下 使用注水法则 显示ergodic容量vs_snr(capacity_vs_snr_ by using waterfiling algorithm and in te multiple antenna condition)
- 2013-11-19 15:23:41下载
- 积分：1
-
ERWCA_unconstrained
具有蒸发率的水循环算法，用来解决无约束优化问题，这是一个比较新的算法(Has the rate of evaporation of the water cycle algorithm, which is used to solve unconstrained optimization problems, this is a relatively new algorithm)
- 2015-05-23 17:09:19下载
- 积分：1
-
AlejandroPAll
使用matlab进行gif图片的生成，可画函数图像以及不稳定流程，3种模式分别对应3种算法(Use matlab to generate a gif image, the image can be painted functions and unstable process, three modes corresponding to the three algorithms)
- 2015-07-19 00:16:29下载
- 积分：1
-
kuozhan-complete-finished
MATLAB对LED光源扩展,改变原来的光源发光强度分布(Extension of LED light source by matlab,Change the light intensity distribution of the original light source)
- 2020-11-30 20:39:27下载
- 积分：1
-
SingleClassifierEnhancer
wonderfull sourcne code for weka tools mential
- 2009-11-25 21:18:25下载
- 积分：1
-
EasyKrig_V3
克里金法广泛地应用于地下水模拟、土壤制图等领域，是一种很有用的地质统计格网化方法。它首先考虑的是空间属性在空间位置上的变异分布．确定对一个待插点值有影响的距离范围，然后用此范围内的采样点来估计待插点的属性值。该方法在数学上可对所研究的对象提供一种最佳线性无偏估计(某点处的确定值)的方法。它是考虑了信息样品的形状、大小及与待估计块段相互间的空间位置等几何特征以及品位的空间结构之后，为达到线性、无偏和最小估计方差的估计，而对每一个样品赋与一定的系数，最后 进行加权平均来估计块段品位的方法。(Kriging is a technique that provides the Best Linear Unbiased Estimator of the unknown fields (Journel and Huijbregts, 1978 Kitanidis, 1997). It is a local estimator that can provide the interpolation and extrapolation of the originally sparsely sampled data that are assumed to be reasonably characterized by the Intrinsic Statistical Model (ISM). An ISM does not require the quantity of interest to be stationary, i.e. its mean and standard deviation are independent of position, but rather that its covariance function depends on the separation of two data points)
- 2013-11-27 09:56:06下载
- 积分：1
