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full-state-feedback

  • Aiming at the application of passive trackinn based on sensor array, a new passive trackinn usinn se

    Aiming at the application of passive trackinn based on sensor array, a new passive trackinn usinn sensor array based on particle filter was proposed. Firstly, the“fake points" could be almost entirely and exactly deleted with the aids of the sensor array at the expense of an additional sensor. Secondly, considered the fact that the measurements notten from each array were independent in passive trackinn system, a novel sequential particle filter usinn sensor array with improved distribution was proposed. At last, in a simulation study we compared this approach a壇orithm with traditional trackinn methods. The simulation re-sups show that the proposed method can nreatly improve the state estimation precision of sensor array passive trackinn system.

    標簽: trackinn passive application Aiming

    上傳時間: 2015-12-31

    上傳用戶:trepb001

  • In this article, we present an overview of methods for sequential simulation from posterior distribu

    In this article, we present an overview of methods for sequential simulation from posterior distributions. These methods are of particular interest in Bayesian filtering for discrete time dynamic models that are typically nonlinear and non-Gaussian. A general importance sampling framework is developed that unifies many of the methods which have been proposed over the last few decades in several different scientific disciplines. Novel extensions to the existing methods are also proposed.We showin particular how to incorporate local linearisation methods similar to those which have previously been employed in the deterministic filtering literature these lead to very effective importance distributions. Furthermore we describe a method which uses Rao-Blackwellisation in order to take advantage of the analytic structure present in some important classes of state-space models. In a final section we develop algorithms for prediction, smoothing and evaluation of the likelihood in dynamic models.

    標簽: sequential simulation posterior overview

    上傳時間: 2015-12-31

    上傳用戶:225588

  • We propose a novel approach for head tracking, which combines particle filters with Isomap. The part

    We propose a novel approach for head tracking, which combines particle filters with Isomap. The particle filter works on the low-dimensional embedding of training images. It indexes into the Isomap with its state variables to find the closest template for each particle. The most weighted particle approximates the location of head. We develop a synthetic video sequence to test our technique. The results we get show that the tracker tracks the head which changes position, poses and lighting conditions.

    標簽: approach combines particle tracking

    上傳時間: 2016-01-02

    上傳用戶:yy541071797

  • In this paper, we consider the problem of filtering in relational hidden Markov models. We present

    In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical particle filtering algorithm. Each particle contains a logical formula that describes a set of states. The algorithm updates the formulae as new observations are received. Since a single particle tracks many states, this filter can be more accurate than a traditional particle filter in high dimensional state spaces, as we demonstrate in experiments.

    標簽: relational filtering consider problem

    上傳時間: 2016-01-02

    上傳用戶:海陸空653

  • Rao-Blackwellised Particle Filters (RBPFs) are a class of Particle Filters (PFs) that exploit condi

    Rao-Blackwellised Particle Filters (RBPFs) are a class of Particle Filters (PFs) that exploit conditional dependencies between parts of the state to estimate. By doing so, RBPFs can improve the estimation quality while also reducing the overall computational load in comparison to original PFs. However, the computational complexity is still too high for many real-time applications. In this paper, we propose a modified RBPF that requires a single Kalman Filter (KF) iteration per input sample. Comparative experiments show that while good convergence can still be obtained, computational efficiency is always drastically increased, making this algorithm an option to consider for real-time implementations.

    標簽: Particle Filters Rao-Blackwellised exploit

    上傳時間: 2016-01-02

    上傳用戶:refent

  • The need for accurate monitoring and analysis of sequential data arises in many scientic, industria

    The need for accurate monitoring and analysis of sequential data arises in many scientic, industrial and nancial problems. Although the Kalman lter is effective in the linear-Gaussian case, new methods of dealing with sequential data are required with non-standard models. Recently, there has been renewed interest in simulation-based techniques. The basic idea behind these techniques is that the current state of knowledge is encapsulated in a representative sample from the appropriate posterior distribution. As time goes on, the sample evolves and adapts recursively in accordance with newly acquired data. We give a critical review of recent developments, by reference to oil well monitoring, ion channel monitoring and tracking problems, and propose some alternative algorithms that avoid the weaknesses of the current methods.

    標簽: monitoring sequential industria accurate

    上傳時間: 2013-12-17

    上傳用戶:familiarsmile

  • To estimate the input-output mapping with inputs x % and outputs y generated by the following nonli

    To estimate the input-output mapping with inputs x % and outputs y generated by the following nonlinear, % nonstationary state space model: % x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)] % + 8cos(1.2t) + process noise % y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3 % + time varying measurement noise % using a multi-layer perceptron (MLP) and both the EKF and % the hybrid importance-samping resampling (SIR) algorithm.

    標簽: input-output the generated following

    上傳時間: 2014-01-05

    上傳用戶:royzhangsz

  • this bulk loopback firmware based on the firmware frameworks. Loops back EP2OUT to EP6IN and EP4OU

    this bulk loopback firmware based on the firmware frameworks. Loops back EP2OUT to EP6IN and EP4OUT to EP8IN. Building this example requires the full version of the Keil Tools.

    標簽: firmware frameworks loopback EP2OUT

    上傳時間: 2013-12-25

    上傳用戶:liglechongchong

  • Written by the inventors of the technology, The Java™ Language Specification, Third Edition, is

    Written by the inventors of the technology, The Java™ Language Specification, Third Edition, is the definitive technical reference for the Java™ programming language. If you want to know the precise meaning of the language s constructs, this is the source for you. The book provides complete, accurate, and detailed coverage of the Java programming language. It provides full coverage of all new features added since the previous edition, including generics, annotations, asserts, autoboxing, enums, for-each loops, variable arity methods, and static import clauses.

    標簽: Specification technology the inventors

    上傳時間: 2016-01-26

    上傳用戶:youmo81

  • Adaptive Filter. This script shows the BER performance of several types of equalizers in a static ch

    Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique.

    標簽: performance equalizers Adaptive several

    上傳時間: 2016-02-16

    上傳用戶:yan2267246

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