-
GyroAndAccDataReader
陀螺仪数据采集程序
采用转换串口采集数据后直接传到MATLAB中，适用于单轴陀螺仪数据快速采集与标定(the programme to get the datas from gyros)
- 2013-08-09 20:54:39下载
- 积分：1
-
TSP
旅行商问题，相信学过数学建模的人都知道吧。需要的下载一下吧。(The traveling salesman problem, believe that the learned mathematical modeling people know it. Need to download it.)
- 2013-04-23 17:52:56下载
- 积分：1
-
heatmap
用于画热区图的R语言代码，适合统计方面的人使用。(Used to draw heat zone map R language code for people to use statistics.)
- 2014-01-06 20:20:16下载
- 积分：1
-
PSS
making the power system stabilization
- 2012-09-21 01:41:45下载
- 积分：1
-
sin
sin 函数功能，用matlab，比较常用，大家可以做个参考(function of sin by matlab)
- 2012-05-14 17:25:51下载
- 积分：1
-
MATLAB-Wavelet-transform
Matlab小波变换与傅立叶变换用于检测阶跃信号，原始时域信号是一个阶跃信号，为了确定阶跃信号的突变点，分别采用傅立叶变换和db5小波进行处理。(Matlab wavelet transformation and Fourier transform is used to test signal, the original order jump time signal is a step road signal, in order to determine the Laplace domain signals point mutations, respectively the Fourier transform and db5 wavelet for processing.
)
- 2021-01-30 20:18:32下载
- 积分：1
-
MATLABstudy
有关于matlab的基础知识 非常详细适用于所有新手童鞋们使用(Matlab based on very detailed knowledge of children' s shoes are suitable for all novice to use)
- 2011-10-09 21:16:35下载
- 积分：1
-
idbm
Description
Applies ideal binary mask to noise corrupted speech signal. The processing takes place within an FFT based short-time spectral analysis-modification-synthesis framework. The ideal binary mask is computed from an oracle (true) signal-to-noise ratio (SNR) through thresholding with local SNR criterion. The routine returns synthesized enhanced speech, the ideal binary mask and the true instantaneous spectral SNR.
- 2011-10-12 05:41:18下载
- 积分：1
-
RgnDemo
使用CRgn对象得到某一特定区域，C++精选学习源码，很好的参考资料。(Use the CRgn object to get a specific area, select learning C++ source code, a good reference.)
- 2013-11-27 07:44:29下载
- 积分：1
-
FCM+Knn
用K均值算法和C模糊算法对sonar数据和iris数据进行分类。
K均值算法是一种很常用的聚类算法，其基本思想是，通过迭代寻找K个聚类的一种划分方法，使得用这K个聚类的均值来代表各类样本是所得到的的总体误差最小。
模糊C均值（FCM）算法在K均值算法的基础上，用模糊子集代替确定子集，从而得到模糊的分类结果，即分类结果的模糊化。(Sonar data and iris data are classified by means of K mean algorithm and C fuzzy algorithm.
The K mean algorithm is a very common clustering algorithm. Its basic idea is to find a partition method of K clustering by iteration, so that the average error of the mean of the K clustering is minimized.
The fuzzy C mean (FCM) algorithm is based on the K mean algorithm. The fuzzy subset is replaced by the fuzzy subset, thus the fuzzy classification result is obtained, that is, the classification result is fuzzed.)
- 2020-11-06 17:59:50下载
- 积分：1
