C/C++ implementation of the Levenberg-Marquardt non-linear least squares algorithm. levmar includes double and single precision LM versions, both with analytic and finite difference approximated jacobians
标签： Levenberg-Marquardt implementation non-linear algorithm
上传时间： 2013-12-28
上传用户：gxf2016
T-kernel 的extension源代码，是日本最著名的T-kernel所独有的，适合开发T-kernel的朋友们使用！ TK/SE is the program that extends T-Kernel and provides the functions such as a file system and a process management. The TK/SE archive to be provided is comprised of the main portion and the 2 extended file system portions, and TK/SE object is built by adding these to T-Kernel source. a) tkernel_se_1.00.00.tar.gz Main source of T-Kernel/SE b) extfs_fatfs_1.00.00.tar.gz difference source of T-Kernel/SE extended file system (FAT) c) extfs_cdrom_1.00.00.tar.gz difference source of T-Kernel/SE extended file system (CD-ROM)
上传时间： 2014-01-20
上传用户：czl10052678
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order
标签： identification considered features separati
上传时间： 2016-09-20
上传用户：FreeSky
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.
标签： identification time-invariant presented emphasis
上传时间： 2013-12-28
上传用户：wfl_yy
The inverse of the gradient function. I ve provided versions that work on 1-d vectors, or 2-d or 3-d arrays. In the 1-d case I offer 5 different methods, from cumtrapz, and an integrated cubic spline, plus several finite difference methods. In higher dimensions, only a finite difference/linear algebra solution is provided, but it is fully vectorized and fully sparse in its approach. In 2-d and 3-d, if the gradients are inconsistent, then a least squares solution is generated
标签： gradient function provided versions
上传时间： 2016-11-07
上传用户：秦莞尔w
TMS320_ADPCMNON(ASM).RAR SIGNAL ESTIMATE FROM PREVIOUS SAMPLES DATA -- * THEN COMPUTE difference SIGNAL
标签： ADPCMNON ESTIMATE DIFFEREN PREVIOUS
上传时间： 2017-03-01
上传用户：2404
C programming is a craft that takes years to perfect. A reasonably sharp person can learn the basics of C quite quickly. But it takes much longer to master the nuances of the language and to write enough programs, and enough different programs, to become an expert. In natural language terms, this is the difference between being able to order a cup of coffee in Paris, and (on the Metro) being able to tell anative Parisienne where to get off. This book is an advanced text on the ANSI C programming language. It is intended for people who are already writing C programs, and who want to quickly pick up some of the insights and techniques of experts.
标签： programming reasonably perfect basics
上传时间： 2013-12-20
上传用户：ls530720646
Guided vehicles (GVs) are commonly used for the internal transportation of loads in warehouses, production plants and terminals. These guided vehicles can be routed with a variety of vehicle dispatching rules in an attempt to meet performance criteria such as minimizing the average load waiting times. In this research, we use simulation models of three companies to evaluate the performance of several real-time vehicle dispatching rules, in part described in the literature. It appears that there is a clear difference in average load waiting time between the different dispatching rules in the different environments. Simple rules, based on load and vehicle proximity (distance-based) perform best for all cases. The penalty for this is a relatively high maximum load waiting time. A distance-based rule with time truncation, giving more priority to loads that have to wait longer than a time threshold, appears to yield the best possible overall performance. A rule that particularly considers load-waiting time performs poor overall. We also show that using little pre-arrival information of loads leads to a significant improvement in the performance of the dispatching rules without changing their performance ranking.
标签： Testing and classifying vehicle dispatching rules in three real-world settings
上传时间： 2016-04-01
上传用户：五块钱的油条
We consider the problem of target localization by a network of passive sensors. When an unknown target emits an acoustic or a radio signal, its position can be localized with multiple sensors using the time difference of arrival (TDOA) information. In this paper, we consider the maximum likelihood formulation of this target localization problem and provide efficient convex relaxations for this nonconvex optimization problem.We also propose a formulation for robust target localization in the presence of sensor location errors. Two Cramer-Rao bounds are derived corresponding to situations with and without sensor node location errors. Simulation results confirm the efficiency and superior performance of the convex relaxation approach as compared to the existing least squares based approach when large sensor node location errors are present.
标签： 传感器网络
上传时间： 2016-11-27
上传用户：xxmluo
The CommScope InstaPATCH® 360 and ReadyPATCH® solutions utilize a standards-compliant multi-fiber connector to provide high density termination capability. The connector is called an MPO (Multi-fiber Push On) connector by the standards. In many cases, multi-fiber connector products are referred to as MTP connectors. This document is intended to clarify the difference between the two terms – MPO and MTP.
上传时间： 2017-04-12
上传用户：asdfghjkl1234567890
