-
otsu_2d
灰度图像阈值分割，用二维otsu方法实现的matlab程序(Gray image threshold segmentation, using two-dimensional Otsu method of matlab program)
- 2020-10-31 15:59:55下载
- 积分：1
-
runDemo
RUNDEMO Illustrates the use of BFILTER2 and CARTOON.
This demo shows typical usage for the bilateral
filter implemented by BFILTER2. The application
of bilateral filtering to image abstraction is
demonstrated by the CARTOON function.
Douglas R. Lanman, Brown University, September 2006.
dlanman@brown.edu, http://mesh.brown.edu/dlanman
- 2014-01-28 16:48:17下载
- 积分：1
-
dvc
说明： 分布式编码代码
C语言的，很多行，如果要用Matlab编应该有些参考价值。(distributed coding)
- 2010-05-04 23:43:01下载
- 积分：1
-
Wirelesschannel
AWGN、单径、多径无线信道MATLAB仿真程序(AWGN, single path, multipath radio channel MATLAB simulation program)
- 2013-07-10 13:52:45下载
- 积分：1
-
VideoUtils_v1_2
how to read file y4m, tool boxes matlab
- 2013-01-14 17:23:36下载
- 积分：1
-
ndvi_advance
本程序可进行植被物候研究，用于提取植被返青期、枯黄期及生长季长度等物候参数。(This procedure can be carried out vegetation phenology studies, used to extract reviving vegetation, yellow and growing season length of phenological parameters.)
- 2013-11-27 19:10:07下载
- 积分：1
-
SLPS_co-simulation
Cadence仿真技术和MathWorks的MATLAB Simulink软件包将两个业界领先的仿真工具集成在一个强大的协同仿真环境（SLPS）。
本文档介绍怎么这两大工具结合起来用。(Cadence simulation technology and MATLAB Simulink MathWorks software package to two industry-leading simulation tools integrated in a powerful co-simulation environment (SLPS).
This document describes how to use these two tools combine)
- 2013-12-31 23:53:32下载
- 积分：1
-
SVM
说明： 支持向量机SVM的MATLAB实现，包括iris数据集、煤炭数据集等。(The matlab implementation of SVM, including iris data set, coal data set and so on.)
- 2020-07-06 17:38:52下载
- 积分：1
-
eg18-yucemoxingyanjiu
《MATLAB神经网络30个案例分析》中的第18个例子，案例18 Elman神经网络的数据预测—电力负荷预测模型研究。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 18 cases of 18 Elman neural network research data to predict- power load forecasting model. Hope to have certain help to everybody!
)
- 2013-09-20 16:33:40下载
- 积分：1
-
fcn_SR_KF
This file compares three different versions of the Kalman filter.
The Kalman filter is used for recursive parameter estimation.
The Kalman filter can handle noisy measurements.
The first implemented filter (fcn_KF) is the Kalman filter with standard
update of the covariance matrix P.
The covariance matrix reflects the uncertainties of the predictions.
To improve the numerical stability Potter developed a
square root update (fcn_KF_SRP) of the covariance matrix P.
Another version is the square root covariance update via
triangularization (fcn_KF_SRT).
This file generates a model. Then the three Kalman filters perform an
estimation of the model parameter. At the end the results are compared.
Sources:
Simon, D. (2006): Optimal state estimation
Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques
Golub, G. (1996): Matrix Computations
- 2014-02-14 18:30:49下载
- 积分：1
