-
power
用matlab计算零点，可以通过和fortran联合调试才能正常运行！！
(calculated using Matlab 0.1, and through joint debugging fortran normal operations can! !)
- 2007-04-20 20:55:00下载
- 积分：1
-
MATLAB-ENVI
该程序用于matlab读取ENVI标准格式文件，直接运行READFILE，选择需要打开的图像文件即可(The program for the matlab read ENVI standard format files directly run READFILE, select the desired image file can be opened)
- 2013-07-16 20:58:19下载
- 积分：1
-
voltage_sag_with_result
series compensation industry line simulation
- 2013-03-17 04:07:59下载
- 积分：1
-
seismic_cpml-master
三维有限差分地震波正演模拟程序，时间二阶，空间十阶,MPI并行(3D finite difference seismic modeling,MPI)
- 2020-12-31 09:38:59下载
- 积分：1
-
D-S 多传感器信息融合 matlab实现
说明： D-S 多传感器信息融合 matlab实现(D-S multi-sensor information fusion matlab implementation)
- 2020-01-08 17:13:08下载
- 积分：1
-
antclustering
ant clustering and rgb
- 2010-07-01 16:55:16下载
- 积分：1
-
JohnGProakis
覆盖了全书的信号与线性系统、随机过程、模拟调制、模拟数字转换、基带数字传输、带限信道的数字传输、载波调制的数字传输、信道容量和编码、扩频通信系统以及数字调制方法的SIMULINK仿真的 源代码(Book covers the signal and linear systems, stochastic processes, analog modulation, analog-to-digital conversion, base-band digital transmission, band-limited digital transmission channel, the digital transmission carrier modulation, channel capacity and coding, spread spectrum communication systems, and digital modulation SIMULINK simulation method source code)
- 2009-04-25 13:14:35下载
- 积分：1
-
bilinear
a matlab code for bilinear zooming. by: d m
- 2009-05-18 03:49:53下载
- 积分：1
-
Refractive-index-difference
一维光子晶体透射率与折射率差值的关系示意图，总体上来说，不同介质的介电常数差别越大，带隙的宽度也越宽。(The diagram of photonic crystal transmittance of one-dimensional and refractive index difference)
- 2013-05-04 21:36:38下载
- 积分：1
-
@linear
针对SVM法线特征筛选算法仅考虑法线对特征筛选的贡献,而忽略了特征分布对特征筛选的贡献的不足,在对SVM法线算法进行分析的基础上,基于特征在正、负例中出现概率的不同提出了加权SVM法线算法,该算法考虑到了法线和特征的分布.通过试验可以看出,在使用较小的特征空间时,与SVM法线算法和信息增益算法相比,加权SVM法线算法具有更好的特征筛选性能.(Normal feature selection for SVM algorithm only considered normal for the contribution of feature selection, to the neglect of the characteristics of the distribution of feature selection have contributed to the lack of normal SVM algorithm based on the analysis, based on the characteristics of the positive and negative cases emergence of a different probability-weighted normal SVM algorithm, which takes into account the distribution and characteristics of normal. through the test can be seen in the use of smaller feature space, the normal and the SVM algorithm and information gain algorithm, normal weighted SVM algorithm has better performance of feature selection.)
- 2008-01-08 21:38:17下载
- 积分：1
