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PSTD_FDTD
PSTD算法的matlab代码 计算二维空间 大尺寸下优于FDTD算法，速度优势随维数平方增长(PSTD algorithm matlab code FDTD algorithm is superior to the large size of the two-dimensional space, the speed advantage of growth with the square of the number of dimensions)
- 2012-08-28 14:11:50下载
- 积分：1
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WTLS_fitting
基于加权整体最小二乘迭代算法，利用井壁同一截面特征点坐标序列，拟合煤矿井筒圆心的坐标序列和半径，监测竖井变形情况(Overall weighted least-squares iterative algorithm, using the same sequence of the wall section feature point coordinates, the coordinates of the center of mine shaft fitting sequence and radius shaft deformation monitoring)
- 2014-12-11 21:07:40下载
- 积分：1
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fisher
基于Fisher线性判别的基因分类器的matlab源码(Based on Fisher Linear Discriminant gene classifier matlab source)
- 2007-08-11 18:15:39下载
- 积分：1
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Interference_MATLAB
光的干涉数学模型和MATLAB程序，内有详细的说明和解释(Interference of light mathematical model and MATLAB program, there are detailed instructions and explanations)
- 2009-11-14 12:28:40下载
- 积分：1
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Example2
example in computer networks
- 2012-04-10 03:53:26下载
- 积分：1
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TuxiangFazhifenge
数字图像阀值分割各种方法 最大熵 OTSU 双峰法 迭代法 分水岭算法 (Digital image threshold segmentation methods maximum entropy OTSU method of bimodal iterative method of watershed algorithm)
- 2014-10-22 15:21:15下载
- 积分：1
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matlab-Histogram
2文件包括：calcnbins，计算出的“理想”的若干箱使用直方图，用三种可能的方法。（freedman-diaconis ，史葛和斯特奇斯 的方法。）histx是一个包装中的直方图函数历史，使用calcnbins选择若干箱如果不提供。(2 file include: calcnbins, calculate the " ideal" box using the histogram, with three possible ways. The method (freedman-diaconis ' , Scott and Sturges' .) Histx is a packaging the histogram function history, use calcnbins select certain box if you do not provide.)
- 2012-10-25 21:05:38下载
- 积分：1
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8PSK
在awgn信道下的的8psk调制，绘出传输和接受的星座图(In awgn channel under the 8psk modulation plotted transmit and receive constellation)
- 2014-12-23 16:38:46下载
- 积分：1
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nmpc
nonlinear predictive control
- 2014-02-23 15:43:39下载
- 积分：1
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用BP神经网络解决分类问题的MATLAB实现
BP神经网络进行数据分类，是一种多层前馈神经网络，该网络的主要特点是信号前向传递，误差反向传播。运用梯度下降法，(BP neural network is a multi-layer feedforward neural network for data classification. Its main characteristics are forward signal transmission and back error propagation. Using gradient descent method and BP neural network to classify data is a multi-layer feedforward neural network. The main characteristics of this network are forward signal transmission and back error propagation. Using gradient descent method,)
- 2019-04-08 11:01:56下载
- 积分：1
