Abstract: Many modern industrial, medical, and commercial applications require temperature measurements in the extended temperature rangewith accuracies of ±0.3°C or better, performed with reasonable cost and often with low power consumption. This article explains how platinumresistance temperature detectors (PRTDs) can perform measurements over wide temperature ranges of -200°C to +850°C, with absolute accuracyand repeatability better than ±0.3°C, when used with modern processors capable of resolving nonLinear mathematical equation quickly and costeffectively. This article is the second installment of a series on PRTDs. For the first installment, please read application note 4875, "High-Accuracy Temperature Measurements Call for Platinum Resistance Temperature Detectors (PRTDs) and Precision Delta-Sigma ADCs."
上传时间： 2013-11-06
上传用户：WMC_geophy
自适应(Adaptive)神经网络源程序 The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implement basically these 5 kinds of neural networks: 1) Adaptive Linear Network (ADALINE) 2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximation of a scalar nonLinear function of 4 variables
标签： collection implement Adaptive adaptive
上传时间： 2015-04-09
上传用户：ywqaxiwang
Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP. Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonLinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.
标签： Description supervised algorithm S-ISOMAP
上传时间： 2015-04-10
上传用户：wfeel
The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implement basically these 5 kinds of neural networks: 1) Adaptive Linear Network (ADALINE) 2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximation of a scalar nonLinear function of 4 variables is included
标签： Neural collection implement Adaptive
上传时间： 2013-12-23
上传用户：teddysha
C-C方法及改进的C-C方法重构相空间的matlab程序 -------------------------------- 性能： 3000数据耗时3分钟 -------------------------------- 参考文献： 1、nonLinear dynamics, delay times, and embedding windows.pdf 2、基于改进的C-C方法的相空间重构参数选择4.pdf -------------------------------- 文件夹说明： 1、C_C_Method_luzhenbo2.m - 程序主文件，直接运行此文件即可! 2、LorenzData.dll - 产生Lorenz离散数据 3、DuffingData.dll - 产生Duffing离散数据 4、RosslerData.dll - 产生Rossler离散数据 5、ccFunction.dll - 计算S(m,N,r,t) - 原C-C方法中计算S(m,N,r,t)，改进的C-C方法中计算S2(m,N,r,t) 6、ccFunction_luzhenbo.dll - 计算S(m,N,r,t) - 改进的C-C方法中计算S1(m,N,r,t) -------------------------------- 致谢： 此稿本次修改的部分灵感来源于与研学论坛网友“张文鸽”和“yangfanboy”的讨论，在此表示感谢!
上传时间： 2015-06-08
上传用户：lo25643
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.
标签： a.k.a. bootstrap implement particle
上传时间： 2014-11-10
上传用户：caozhizhi
The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonLinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.
标签： system compensation simulations experiment
上传时间： 2015-08-26
上传用户：希酱大魔王
This folder contains all the codes based on Matlab Language for the book <《Iterative Methods for Linear and nonLinear Equations》, and there are totally 21 M files, which can solve most of linear and nonLinear equations problems.
标签： Iterative the for Language
上传时间： 2013-12-23
上传用户：cazjing
We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation, phase-shift keying, and pulse amplitude modulation communications systems.We study the performance of a standard CFO estimate, which consists of first raising the received signal to the Mth power, where M is an integer depending on the type and size of the symbol constellation, and then applying the nonLinear least squares (NLLS) estimation approach. At low signal-to noise ratio (SNR), the NLLS method fails to provide an accurate CFO estimate because of the presence of outliers. In this letter, we derive an approximate closed-form expression for the outlier probability. This enables us to predict the mean-square error (MSE) on CFO estimation for all SNR values. For a given SNR, the new results also give insight into the minimum number of samples required in the CFO estimation procedure, in order to ensure that the MSE on estimation is not significantly affected by the outliers.
标签： frequency-offset estimation quadrature amplitude
上传时间： 2014-01-22
上传用户：牛布牛
This paper examines the asymptotic (large sample) performance of a family of non-data aided feedforward (NDA FF) nonLinear least-squares (NLS) type carrier frequency estimators for burst-mode phase shift keying (PSK) modulations transmitted through AWGN and flat Ricean-fading channels. The asymptotic performance of these estimators is established in closed-form expression and compared with the modified Cram`er-Rao bound (MCRB). A best linear unbiased estimator (BLUE), which exhibits the lowest asymptotic variance within the family of NDA FF NLS-type estimators, is also proposed.
标签： performance asymptotic examines non-data
上传时间： 2015-12-30
上传用户：225588
