-
matpower chouce
matpower 学习手册-----------(matpower manual-----------)
- 2020-09-02 03:28:08下载
- 积分：1
-
bin
实现高频信号的MWC压缩采样，可以完整传输信号的频率信息。(MWC sampling Simulation model of MWC compressed sampling wideband digital receiver based on MATLAB)
- 2018-07-27 13:55:15下载
- 积分：1
-
pca
说明： pca 源程序 能用，针对不同问题只要稍作修改即可。(pca)
- 2010-04-14 15:00:55下载
- 积分：1
-
MATLABLanguage
此书籍完整归纳了matlab从基础到高级应用的常用源代码，是一本不可多得的学习matlab的电子书籍。(This book summarizes the complete matlab from basic to advanced applications commonly used source code, is a rare study matlab e-books.)
- 2013-07-22 17:30:36下载
- 积分：1
-
HW-Qasem
fin and bar heat transfer codes FV and FD
- 2012-05-27 07:17:02下载
- 积分：1
-
ASM_version1b
ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。
基本思想：
在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。
(Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach.
Basic idea:
The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions.
After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour.
Literature:
- Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)
- 2010-03-04 17:01:22下载
- 积分：1
-
spectralanaa2
spectral analysis of autocorreLATION
- 2012-04-12 14:42:21下载
- 积分：1
-
start
this code have fuzzy and pso code
- 2014-08-11 04:24:00下载
- 积分：1
-
FrameWork_Logic_User_Guide
FrameWork logic user guide for Innovative integration X5 EVM
- 2010-06-17 08:24:12下载
- 积分：1
-
bijiao
阵元间隔为半波长的均匀分布16元线列阵，利用均匀加权常规波束。远场有5个互不相关的目标源发射信号，每个源相对基阵的方位分别为-40，-42，-5，30和33，且每个源信号到达基阵时的信噪比相等，均为10dB。分别对波束域和阵元域MUSIC算法进行比较。
(Array element spacing of half wavelength for the uniform distribution of 16 per linear array, using conventional beam evenly weighted. Far-field has five separate objectives of the source of emission signals, each source array of the relative position of-40,-42,-5,30 and 33, and each source signal to noise ratio at the time of Scientology Front equal, are 10dB. Separately on the beam element domain and the domain MUSIC algorithm for comparison.)
- 2009-03-24 10:30:05下载
- 积分：1
