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Description: 数字识别系统源代码:
第一步：训练网络。使用训练样本进行训练
第二步：识别。首先，打开图像（256色）；再次，进行归一化处理，点击“一次性处理”；最后，点击“R”或者使用菜单找到相应项来进行识别。识别的结果显示在屏幕上，同时也输出到文件result.txt中。
该系统的识别率一般情况下为90％。
此外，也可以单独对打开的图片一步一步进行图像预处理工作，但要注意，每一步工作只能执行一遍，而且要按顺序执行。
具体步骤为：“256色位图转为灰度图”－“灰度图二值化”－“去噪”－“倾斜校正”－“分割”－“标准化尺寸”－“紧缩重排”。-digital identification system source code : the first step : training network. Training samples used for training the second step : identification. First, open the Image (256 colors); Again, a naturalization processing, click on "one-time"; Finally, Click on the "R" or use the menu item corresponding to find identification. The results show identification on the screen, but also the output to a file which result.txt. The system's recognition rate under normal circumstances 90%. Alternatively, you could open a separate pair of step-by-step photographs for image preprocessing work, but bearing in mind that each step can only be implemented again, but according to the implementation of the order. Specific steps : "256-color bitmap to grayscale" - "graysc
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Size: 59562 |
Author: 孙瑞霞 |
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Description: bearing only tarcking based sampleing importance resampling (SIR) filter-bearing only tarcking based sampleing The need ortance resampling (SIR) filter
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Size: 1438 |
Author: 华少洪 |
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Description: 数字识别系统源代码.rar
第一步：训练网络。使用训练样本进行训练。（此程序中也可以不训练，因为笔者已经将训练好的网络参数保存起来了，读者使用时可以直接识别）
第二步：识别。首先，打开图像（256色）；再次，进行归一化处理，点击“一次性处理”；最后，点击“R”或者使用菜单找到相应项来进行识别。识别的结果显示在屏幕上，同时也输出到文件result.txt中。
该系统的识别率一般情况下为90％。
此外，也可以单独对打开的图片一步一步进行图像预处理工作，但要注意，每一步工作只能执行一遍，而且要按顺序执行。
具体步骤为：“256色位图转为灰度图”－“灰度图二值化”－“去噪”－“倾斜校正”－“分割”－“标准化尺寸”－“紧缩重排”。
注意，待识别的图片要与win.dat和whi.dat位于同一目录，这两文件保存训练后网络的权值参数。
-digital identification system source code. Rar first step : training network. Use of training samples for training. (These procedures also can not training because I have trained network parameters saved, Readers can direct identification) second step : identification. First, open the Image (256 colors); Again, to a treatment, click on the "one-time"; Finally, Click on the "R" or use the menu item corresponding to find identification. Recognition results on the screen, but also the output to a file result.txt China. The system's recognition rate under normal circumstances 90%. Alternatively, you could open a separate pair of step-by-step photographs for image preprocessing work, but bearing in mind that Each step can only be implemented again, but in accordance with
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Size: 62143 |
Author: shenmingdong |
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Description: Learning Kernel Classifiers: Theory and Algorithms, Introduction This chapter introduces the general problem of machine learning and how it relates to statistical inference. 1.1 The Learning Problem and (Statistical) Inference It was only a few years after the introduction of the first computer that one of man’s greatest dreams seemed to be realizable—artificial intelligence. Bearing in mind that in the early days the most powerful computers had much less computational power than a cell phone today, it comes as no surprise that much theoretical research on the potential of machines’ capabilities to learn took place at this time. This becomes a computational problem as soon as the dataset gets larger than a few hundred examples.-Learning Kernel Classifiers : Theory and Algorithms. Introduction This chapter introduces the gene the acidic problem of machine learning and how it relat es to statistical inference. 1.1 The Learning P roblem and (Statistical) It was only inference a few years after the introduction of the first c omputer that one of man's greatest dreams seeme d to be realizable-artificial intelligence. B earing in mind that in the early days the most pow erful computers had much less computational po wer than a cell phone today, it comes as no surprise that much theoretical're search on the potential of machines' capabilit ies to learn took place at this time. This become 's a computational problem as soon as the dataset gets larger than a few hundred examples.
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Size: 2537081 |
Author: google2000 |
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Description: bearing only tarcking based sampleing importance resampling (SIR) filter-bearing only tarcking based sampleing The need ortance resampling (SIR) filter
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Size: 1024 |
Author: 华少洪 |
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Description: 方向检测的粒子滤波程序，内含重采样算法。-The direction of the particle filter detection procedures, including re-sampling algorithm.
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Size: 34816 |
Author: 赵娜 |
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Description: 不同机动方式下的双机无源定位效果比较，应用了KAMLAN滤波，对研究纯方位定位有帮助！-Under different mobility of two-plane effects of passive positioning, the application of the KAMLAN filtering, the study of bearing-only location has helped!
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Size: 2048 |
Author: sunqiang |
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Description: Bearing Only Tracking在多场景下的仿真程序 是本人在国外读书时研究项目中的导师和同事等共同开发 使用EKF(扩展KALMAN Filter)与PDA联合算法对target进行定位追踪-Bearing Only Tracking in a multi-scenario is the simulation program to study abroad when I research projects, such as mentors and colleagues to develop the use of EKF (extended KALMAN Filter) algorithm combined with the PDA to locate target tracking
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Size: 9216 |
Author: chris |
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Description: EKF UKF Bearing Only Tracking
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Size: 50176 |
Author: Nikolay |
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Description: 研究了存在系统误差时单站纯方位角无源定位系统的定位问题，分别在系统误差为常值和时变值时研
究了TLS-KF算法的性能，并通过估计系统误差是否存在，给出了一种选择最优定位算法的判决方法。该问题的
研究对于单站无源定位系统如何在存在系统误差时提高定位精度和性能，具有一定的理论意义和实际意义。
-The single station bearing-only passive target localization was studied when system bias was
existent.The performance of TLS-KF was studied vias simulations in the cases that the system bias was a
constant and time variant respectively.In order to choose the optimum localization algorithm,a criterion was
given to estimate whether the system bias was existent.The study of this paper is helpful in practical target
localization.
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Size: 914432 |
Author: 张洋 |
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Description: EKF与CKF对纯方位目标跟踪的仿真实例-A simulation about EKF and CKF algorithm used in TMA-Bearing Only.
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Size: 1024 |
Author: 乐乐 |
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Description: BEARINGANALYSIS MATLAB code for bearingAnalysis.fig
BEARINGANALYSIS, by itself, creates a new BEARINGANALYSIS or raises the existing
singleton*.
H = BEARINGANALYSIS returns the handle to a new BEARINGANALYSIS or the handle to
the existing singleton*.
BEARINGANALYSIS( CALLBACK ,hObject,eventData,handles,...) calls the local
function named CALLBACK in BEARINGANALYSIS.M with the given input arguments.
BEARINGANALYSIS( Property , Value ,...) creates a new BEARINGANALYSIS or raises the
existing singleton*. Starting from the left, property value pairs are
applied to the GUI before bearingAnalysis_OpeningFcn gets called. An
unrecognized property name or invalid value makes property application
stop. All inputs are passed to bearingAnalysis_OpeningFcn via varargin.
*See GUI Options on GUIDE s Tools menu. Choose "GUI allows only one
instance to run (singleton)".- BEARINGANALYSIS MATLAB code for bearingAnalysis.fig
BEARINGANALYSIS, by itself, creates a new BEARINGANALYSIS or raises the existing
singleton*.
H = BEARINGANALYSIS returns the handle to a new BEARINGANALYSIS or the handle to
the existing singleton*.
BEARINGANALYSIS( CALLBACK ,hObject,eventData,handles,...) calls the local
function named CALLBACK in BEARINGANALYSIS.M with the given input arguments.
BEARINGANALYSIS( Property , Value ,...) creates a new BEARINGANALYSIS or raises the
existing singleton*. Starting from the left, property value pairs are
applied to the GUI before bearingAnalysis_OpeningFcn gets called. An
unrecognized property name or invalid value makes property application
stop. All inputs are passed to bearingAnalysis_OpeningFcn via varargin.
*See GUI Options on GUIDE s Tools menu. Choose "GUI allows only one
instance to run (singleton)".
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Size: 653312 |
Author: artflolo |
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Description: 扩展卡尔曼与质点滤波在纯方位跟踪应用,扩展卡尔曼与质点滤波在纯方位跟踪应用-Bearing only tracking
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Size: 2048 |
Author: 程磊 |
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Description: 用于纯方位角跟踪的很有用的MATLAB源程序-for bearing only tracking
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Size: 8192 |
Author: 徐金龙 |
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Description: 基于EKF的单站纯方位目标跟踪程序，可以直接运行-EKF-based single-station bearing-only tracking program that can be run directly
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Size: 1024 |
Author: 罗荣剑 |
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Description: Sigma point Kalman fi lter for bearing only tracking
S. Sadhua,, S. Mondal
b
, M. Srinivasana
, T.K. Ghoshal
a
a
Department of Electrical Engineering, Jadavpur University, Kolkata-700032, India
b
Department of Mechanical Engineering, IIT Kharagpur 721302, India
Received 10 August 2005 received in revised form 14 December 2005 accepted 12 March 2006
Available online 6 April 2006-Sigma point Kalman fi lter for bearing only tracking
S. Sadhua,, S. Mondal
b
, M. Srinivasana
, T.K. Ghoshal
a
a
Department of Electrical Engineering, Jadavpur University, Kolkata-700032, India
b
Department of Mechanical Engineering, IIT Kharagpur 721302, India
Received 10 August 2005 received in revised form 14 December 2005 accepted 12 March 2006
Available online 6 April 2006
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Size: 177152 |
Author: Gomaa Haroun |
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Description: The Unscented Kalman Filter for State Estimation
of 3-Dimension Bearing-Only Tracking
WANG Wan-ping
1,2
1
Institute of Optics and Electronics, Chinese Academy of
Sciences, Chendu, P.R. China
2
Graduate School of the Chinese Academy of Sciences,
Beijing, P.R. China
LIAO Sheng1
, XING Ting-wen1
Institute of Optics and Electronics,
Chinese Academy of Sciences,
Chendu, P.R. China
e-mail: BDBQX_LS@sina.com-The Unscented Kalman Filter for State Estimation
of 3-Dimension Bearing-Only Tracking
WANG Wan-ping
1,2
1
Institute of Optics and Electronics, Chinese Academy of
Sciences, Chendu, P.R. China
2
Graduate School of the Chinese Academy of Sciences,
Beijing, P.R. China
LIAO Sheng1
, XING Ting-wen1
Institute of Optics and Electronics,
Chinese Academy of Sciences,
Chendu, P.R. China
e-mail: BDBQX_LS@sina.com
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Size: 296960 |
Author: Gomaa Haroun |
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Description: The extended Kalman filter applied to bearings-only target tracking
is theoretically analyzed. Closed-form expressions for the state
vector and its associated covariance matrix are introduced, and subsequently
used to demonstrate how bearing and range estimation
errors can interact to cause filter instability (i.e., premature covariance
collapse and divergence). Further investigation reveals that
conventional initialization techniques often precipitate such anomalous
behavior. These results have important practical implications
and are not presently being exploited to full advantage.
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Size: 1933312 |
Author: Gomaa Haroun |
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Description: bearing only tracking control and estimation
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Size: 2048 |
Author: saeed |
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Description: 扩展卡尔曼滤波在纯方位目标跟踪中的应用实例(Application of Extended Kalman Filter in Bearing-only Target Tracking)
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Size: 14336 |
Author: 后仰跳投 |
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