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The purpose of this paper is to provide a practical introduction to the discrete Kalman filter. This introduction includes a description and some discussion of the basic discrete Kalman filter, a derivation, description and some discussion of the extended Kalman filter, and a relatively simple (tangible) example with real numbers & Results.
標簽： introduction practical discrete purpose
上傳時間： 2014-11-14
上傳用戶：familiarsmile
BP神經網絡分類器 程序有兩種運行狀態，一個是學習，另外一個是分類。在學習狀態下，在Dos命令符下輸入bp learn，便開始學習了，學習的結果放在weight.dat中；在工作狀態下，在Dos命令符下輸入bp work，便開始識別classfyme.dat中的數據了，識別完成后，結果放在Results.dat中。在bp運行的任何一種狀態下，都不能手工打開Weight.dat、Sample.dat、classfyme.dat、Results.dat中的任何一種。~..~
上傳時間： 2013-12-17
上傳用戶：skfreeman
This paper introduces an affine invariant of trapezia, and the explicit constraint equation between the intrinsic matrix of a camera and the similarity invariants of a trapezium are established using the affine invariant. By this constraint, the inner parameters, motion parameters of the cameras and the similarity invariants of trapezia can be linearly determined using some prior knowledge on the cameras or the trapezia. The proposed algorithms have wide applicability since parallel lines are not rare in many scenes. Experimental Results validate the proposed approaches. This work presents a unifying framework based on the parallelism constraint, and the previous methods based on the parallelograms or the parallelepipeds can be integrated into this framework. Key words: invariant parallelism constraint camera calibration 3D reconstruction
標簽： introduces constraint invariant explicit
上傳時間： 2014-01-16
上傳用戶：6546544
In addition to individual algorithm, Demonstration System is a "data structure" (C language version) book algorithm corresponding to the code (CPP) and the test operating procedures (VC + +6.0 to the EXE). Through the system can demonstrate that the algorithm source code and operating Results
標簽： Demonstration individual algorithm structure
上傳時間： 2013-12-24
上傳用戶：change0329
A system simulation environment in Matlab/Simulink of RFID is constructed in this paper. Special attention is emphasized on the analog/RF circuit.Negative effects are concerned in the system model,such as phase noise of the local oscillator,TX-RX coupling,reflection of the environment, AWGN noise,DC offset,I/Q mismatch,etc.Performance of the whole system can be evaluated by changing the coding method,parameters of building blocks,and operation distance.Finally,some simulation Results are presented in this paper.
標簽： environment constructed simulation Simulink
上傳時間： 2014-01-09
上傳用戶：zhangliming420
C++, although a marvelous language, isn t perfect. Matthew Wilson has been working with it for over a decade, and during that time he has found inherent limitations that require skillful workarounds. In this book, he doesn t just tell you what s wrong with C++, but offers practical techniques and tools for writing code that s more robust, flexible, efficient, and maintainable. He shows you how to tame C++ s complexity, cut through its vast array of paradigms, take back control over your code--and get far better Results
標簽： marvelous although language Matthew
上傳時間： 2014-01-22
上傳用戶：妄想演繹師
The programs and applications on this disk have been carefully tested, but are not guaranteed for any particular purpose. The publisher does not offer any warranties and does not guarantee the accuracy, adequacy, or completeness of any information and is not responsible for any errors or omissions or the Results obtained from use of such information.
標簽： applications guaranteed carefully programs
上傳時間： 2015-12-20
上傳用戶：gdgzhym
The programs and applications on this disk have been carefully tested, but are not guaranteed for any particular purpose. The publisher does not offer any warranties and does not guarantee the accuracy, adequacy, or completeness of any information and is not responsible for any errors or omissions or the Results obtained from use of such information.
標簽： applications guaranteed carefully programs
上傳時間： 2014-01-18
上傳用戶：851197153
The programs and applications on this disk have been carefully tested, but are not guaranteed for any particular purpose. The publisher does not offer any warranties and does not guarantee the accuracy, adequacy, or completeness of any information and is not responsible for any errors or omissions or the Results obtained from use of such information.
標簽： applications guaranteed carefully programs
上傳時間： 2015-12-20
上傳用戶：lanjisu111
Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve Results comprehensibility. FCBF is a fast correlation-based filter algorithm designed for high-dimensional data and has been shown effective in removing both irrelevant features and redundant features
標簽： preprocessing frequently selection technique
上傳時間： 2014-01-19
上傳用戶：lindor
