The package contains a Reed-Solomon coding and decoding program, derived partly from Phil Karn/Robert Morelos-Zaragoza "new_rs_erasures.c". In particular the Berlekamp-Massey algorithm has not been modified. New features compared to "new_rs_erasures.c" are: - fully parameterized: code parameters (n,k,m) can be selected via command line options. - decoding optional by Euclid or Belekamp-Massey algorithm - efficient support of shortened codes - extensive verbose levels for hardware verification
標(biāo)簽： Reed-Solomon contains decoding package
上傳時間： 2013-12-11
上傳用戶：shinesyh
Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA toolbox is presen
標(biāo)簽： autocorrelation parametric estimates Accurate
上傳時間： 2013-12-29
上傳用戶：3到15
300 km 傳輸線和功率補償仿真 The circuit below represents an equivalent power system feeding a 300 km transmission line. The line is compensated by a shunt inductor at its receiving end. A circuit breaker allows energizing and de-energizing of the line. To simplify matters, only one of the three phases is represented. The parameters shown in the figure are typical of a 735 kV power system.
標(biāo)簽： equivalent represents 300 transmis
上傳時間： 2016-07-14
上傳用戶：15736969615
This programme is to control DC motor in a certain speed using PWM. The target speed is "r", it is the speed in 1s. The sample rate is 0.1s, so the actual speed target is "rc"=r/10. The "r" and "rc" are integer, and the range of "r" is from 50 to 100. Keep rc=r/10!!! The array "speed1" and "speed2" are the control result, in 0.1s and 1s. The length of "speed1" is 2400, and "speed2" is 240. The "pw" and "nw" are the parameters of PWM. The test will last 4 min.
標(biāo)簽： speed programme is control
上傳時間： 2014-11-22
上傳用戶：jyycc
NIST Net – A Linux-based Network Emulation Tool, It is a raw IP packet filter with many controllable channel parameters such as packet loss ratio, jitter, bandwidth variation, delay, and network buffer size. To simulate different network environments
標(biāo)簽： controllable Linux-based Emulation Network
上傳時間： 2014-01-26
上傳用戶：xauthu
For build this project you can use ant (www.apache.org). Before build project rename file build.properties.pattern in build.properties and set specific for your machine parameters, then start build.bat (for Windows platform) or build.sh (for Linux) in root project folder. After compile process all binary files will be copy into build forlder. For additional information please visit web site http://www.m-g.ru/corba To subscribe on news about MT_DORB send e-mail with subject subscribe to corba@m-g.ru We recommend that you place the MTDORB_UCUtils.dll ( or MTDORB_UCUtils.so for Linux) in the Windows\System directory (or Windows\System32 for WinNT and Win2K and /lib for Linux). Main MTDORB author: Oleg V. Safonov <safonov@m-g.ru>
標(biāo)簽： build project Before apache
上傳時間： 2016-08-20
上傳用戶：zhenyushaw
Visual tracking is one of the key components for robots to accomplish a given task in a dynamic environment, especially when independently moving objects are included. This paper proposes an extension of Adaptive Visual Servoing (hereafter, AVS) for unknown moving object tracking. The method utilizes binocular stereo vision, but does not need the knowledge of camera parameters. Only one assumption is that the system need stationary references in the both images by which the system can predict the motion of unknown moving objects. The basic ideas how we extended the AVS method such that it can track unknown moving objects are given and formalized into a new AVS system. The experimental results with proposed control architecture are shown and a discussion is given.
標(biāo)簽： components accomplish tracking dynamic
上傳時間： 2013-12-11
上傳用戶：lizhen9880
Versatile visual servoing without knowledge of true jacobian.pdf cobian matrix estimator. The Jacobian matrix estimator does not need a priori knowledge of the kinematic structure and parameters of the robot system, such as camera and link parameters. The proposed visual servoing control scheme ensures the convergence of the image-features to desired trajectories, by using the estimated Jacobian matrix, which is proved by the Lyapunov stability theory. To show the effectiveness of the proposed scheme, simulation and experimental results are presented.
標(biāo)簽： Versatile knowledge estimator servoing
上傳時間： 2016-08-26
上傳用戶：大三三
The package includes 3 Matlab-interfaces to the c-code: 1. inference.m An interface to the full inference package, includes several methods for approximate inference: Loopy Belief Propagation, Generalized Belief Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods (Metropolis, Gibbs, Wolff, Swendsen-Wang). Use "help inference" from Matlab to see all options for usage. 2. gbp_preprocess.m and gbp.m These 2 interfaces split Generalized Belief Propagation into the pre-process stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use only one of them, or changing some parameters in between. Use "help gbp_preprocess" and "help gbp" from Matlab. 3. simulatedAnnealing.m An interface to the simulated-annealing c-code. This code uses Metropolis sampling method, the same one used for inference. Use "help simulatedAnnealing" from Matlab.
標(biāo)簽： Matlab-interfaces inference interface the
上傳時間： 2016-08-27
上傳用戶：gxrui1991
A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data generating system. The considered system representations are input/state/output, difference equation, and left matrix fraction. KEYWORDS: subspace identification, deterministic subspace identification, balanced model reduction, approximate system identification, MPUM.
標(biāo)簽： identification time-invariant presented emphasis
上傳時間： 2013-12-28
上傳用戶：wfl_yy
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