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Description: Probabilistic Data Association Filter跟踪算法示例-Probabilistic Data Association Filter Tracking Algorithm example
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Author: liushan |
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Description: 实现PC上捕获视频并且压缩(H.264)，发送到组播地址；Mobile设备上的source filter从组播地址接收视频数据，并解码播放。
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Author: wee |
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Description: Introduction to Statistics Toolbox
很棒的demo和介绍，示例
demo/M-Files:
closeDTool.m Force close DFITTOOL (without confirmation dialog)
createCarDatabase.m Creates dataset array from Excel file and converts
appropriate variables to categorical arrays
FuelEconomyAnalysis.m Main analysis script for publishing
loadData.m Load all data in directory and create a single dataset
modelMPG.m Creates model for MPG based on filter parameters
myDistFit.m Distribution fit for MPG (auto-generated, not used in demo)
myPlot.m Custom plot for plotting model MPG vs. actual MPG
simMPG.m Simulate the model with parameters
demo/Excel (.xls) Files:
00dat.xls Fuel economy data for the year 2000
01dat.xls Fuel economy data for the year 2001
02dat.xls Fuel economy data for the year 2002
03dat.xls Fuel economy data for the year 2003
04dat.xls Fuel economy data for the year 2004
05dat.xls Fuel economy data for the year 2005
0607dat.xls Fuel economy data for the year 2006 and 2007
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Size: 1514205 |
Author: flashpku |
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Description: 卡尔曼滤波matlab工具箱，还有demo-Kalman filter matlab toolbox with demo
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Size: 14336 |
Author: |
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Description: this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to estimate the hidden states of a nonlinear, non-Gaussian state space model.-this demo is to show you how to implement a ge neric SIR (a.k.a. particle, the bootstrap. Monte Carlo) filter to estimate the hidden stat es of a nonlinear. non-Gaussian state space model.
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Size: 6144 |
Author: 大辉 |
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Description: Probabilistic Data Association Filter跟踪算法示例-Probabilistic Data Association Filter Tracking Algorithm example
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Size: 3072 |
Author: liushan |
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Description: Kalman filter example demo in Matlab-Kalman filter example in Matlab demo
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Size: 1024 |
Author: 唐德佳 |
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Description: 这片是写的数据信号处理可查那个设计的报告，报告包括卷积演示程序、演示采样定理、模拟滤波器设计演示—从模拟低通滤波器到模拟高通、带通、带阻的幅度
特性对比演示、切比雪夫I型低通滤波器、利用凯塞窗设计高通滤波器、使用双线性变换法设计巴特沃斯低通数字滤波器 这几个部分..........用matlab实现
-this piece is written data signal processing design can be found that the report, including the convolution Demonstration Program, Presentations sampling theorem, Analog Filter Design demo-from analog low-pass filter to simulate high-pass, band-pass, with the rate of resistance properties compared demo, I Chebyshev low-pass filter, the use of Kaiser window design high-pass filter, use bilinear transform design Butterworth low-pass digital filter these parts .......... used mat Implementation lab
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Size: 325632 |
Author: 风 |
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Description: 维纳滤波的MATLAB实现，用于随机信号处理的算法演示！-Wiener filter MATLAB for random signal processing algorithm demo!
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Size: 16384 |
Author: xiaote |
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Description: 匹配滤波的MATLAB实现，用于随机信号处理的算法演示！-matched filtering of MATLAB for random signal processing algorithm demo!
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Size: 23552 |
Author: xiaote |
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Description: FPEXTRACTDEMO 指纹特征提取演示程序 一个完整的指纹特征提取程序。包括常用的所有算法...
选项：
- Centralize: 二值化图像，计算中心点
- Crop: 图像修剪
- Sectorize: 可视化扇形
- Normalize: 归一化输入图像
- Gabor filters: 可视化Gabor滤波器
- Convolute: 计算输入图像和Gabor滤波器的convolution
- Features: 特征可视化
- FingerCode: 在数据库中加入该指纹 - Check: 指纹匹配-Fingerprint Feature Extraction FPEXTRACTDEMO demo program a complete fingerprint feature extraction procedures. Including all the algorithms commonly used options ...:- Centralize: binary image, Center Point- Crop: image pruning- Sectorize: Visualization fan- Normalize: normalized input image- Gabor filters: Visualization Gabor Filter- Convolute: Calculation of the input image and Gabor filter convolution- Features: Characteristics of visualization- FingerCode: in the database to join the fingerprint- Check: Fingerprint matching
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Size: 367616 |
Author: 郭长振 |
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Description: EM算法＋mean shift算法用于图像分割，同时有demo程序用来看最终的分割结果-EM algorithm mean shift algorithm for image segmentation, at the same time have demo program with the ultimate view of segmentation results
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Size: 6144 |
Author: 周华 |
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Description: n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar -xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo.-n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar-xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo.
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Size: 13312 |
Author: 徐剑 |
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Description: The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application. For details, please refer to Rao-Blackwellised Particle Filtering for Fault Diagnosis and On Sequential Simulation-Based Methods for Bayesian Filtering After downloading the file, type "tar -xf demo_rbpf_gauss.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab and run the demo.
-The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application. For details, please refer to Rao-Blackwellised Particle Filtering for Fault Diagnosis and On Sequential Simulation-Based Methods for Bayesian Filtering After downloading the file, type "tar-xf demo_rbpf_gauss.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab and run the demo.
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Size: 202752 |
Author: 晨间 |
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Description: In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar -xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo.
-In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar-xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo.
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Size: 129024 |
Author: 晨间 |
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Description: The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar -xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "demo_MC" for the demo.
-The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar-xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "demo_MC" for the demo.
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Size: 58368 |
Author: 晨间 |
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Description: Kalman filter toolbox written by Kevin Murphy, 1998.
See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details.
Installation
------------
1. Install KPMtools from http://www.ai.mit.edu/~murphyk/Software/KPMtools.html
3. Assuming you installed all these files in your matlab directory, In Matlab type
addpath matlab/KPMtools
addpath matlab/Kalman
Demos
-----
See tracking_demo.m for a demo of 2D tracking.
See learning_demo.m for a demo of parameter estimation using EM.
较早版本的kalman滤波matlab源码，适合研读。-Kalman filter toolbox written by Kevin Murphy, 1998.See http://www.ai.mit.edu/ ~ murphyk/Software/kalman.html for details.Installation 1. Install KPMtools from http://www.ai.mit. edu/~ murphyk/Software/KPMtools.html3. Assuming you installed all these files in your matlab directory, In Matlab typeaddpath matlab/KPMtoolsaddpath matlab/KalmanDemos-See tracking_demo.m for a demo of 2D tracking.See learning_demo.m for a demo of parameter estimation using EM. an earlier version of kalman filtering matlab source, suitable for reading.
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Size: 13312 |
Author: wuming |
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Description: windows file filter demo program
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Size: 224256 |
Author: tOgh |
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Description: it is about adaptive filter
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Size: 129024 |
Author: mohammad |
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Description: 小波用于CFA图像插值的源程序，2010年最新的论文。This is a demo program of color filter array (CFA) image color reproduction.
J. Tian, W. Yu and L. Ma, "Color filter array color reproduction using
cycle-spinning," International Journal of Electronics and Communications,
Vol. 64, No. 6, pp. 584-587, Jun. 2010.-This is a demo program of color filter array (CFA) image color reproduction.
J. Tian, W. Yu and L. Ma, "Color filter array color reproduction using
cycle-spinning," International Journal of Electronics and Communications,
Vol. 64, No. 6, pp. 584-587, Jun. 2010.
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Size: 507904 |
Author: 张华 |
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