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详细介绍MCL算法，是由Sebastian Thrun a, Dieter Fox, Wolfram Burgard, Frank Dellaert所著的论文，发表于Artificial Intelligence上。-Mobile robot localization is the problem of determining a robot’s pose from sensor data. This
article presents a family of probabilistic lo
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粒子滤波的基本程序及粒子滤波原始论文Novel approach to nonlinear_non-Gaussian Bayesian state estimation-Particle filter and the basic procedures for the original particle filter papers Novel approach to nonlinear_non-Gaussian Bayesian state estimation
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it is a doctora thesis about estimation and exactly about bayesian estimation
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bayesian sequential state estimation for mimo wireless communications
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基于贝叶斯压缩感知的一种极宽带信道的估计-A compressed sensing based on Bayesian very broadband channel estimation
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基于导频的贝叶斯信道估计，可以大大减少MMSE信道估计的计算复杂度-Bayesian channel estimation based on the pilot, can greatly reduce the computational complexity of the MMSE channel estimation
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贝叶斯估计近似计算方法的技术描述文档，讲解贝叶斯近似估计理论与方法-Bayesian estimation of the approximate calculation method of the technology described in the document, explaining Bayesian the approximate estimation theory and methods
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A bayesian estimation for single target tracking based on state mixture models
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Speech processing applications such as speech enhancement and speaker identification rely on the estimation of relevant parameters from the speech signal. These
parameters must often be estimated from noisy observations since speech signals are
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基于稀疏分解的宽带信号DOA估计方法，使用了基于贝叶斯的方法具有良好的估计精度和分辨率-Wideband signal sparse decomposition DOA estimation method based on the use of a method based on Bayesian estimation has good accuracy and resolution
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A Bayesian approach to sparse channel estimation in OFDM systems
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Bayesian Vector Autoregression using Bayesian estimation method
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Application of Bayesian Hierarchical Prior Modeling to Sparse Channel Estimation
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Bayesian Deblurring with Integrated Noise Estimation
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Target tracking has been widely used in different fields such as surveillance, automated
guidance systems, and robotics in general. The most commonly used framework for
tracking is that of Bayesian sequential estimation. This framework is probabi
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适用于空间计量的各种模型，包括SVAR SEM SMD 等，以及各种检验，如LM Walds等-least-squares, simultaneous systems (2SLS,3SLS, SUR)
limited dependent variable (logit, probit, tobit) and Bayesian variants
time-series (VAR, BVAR, ECM) estimation and accompanying forecasting func
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此文献资料很好的概括了贝叶斯用于解决DOA估计的问题-Off-grid Direction of Arrival Estimation Using Sparse Bayesian Inference
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利用贝叶斯原理估计混合logit模型的参数，人脸识别中的光照处理方法，大学数值分析算法。- Bayesian parameter estimation principle mixed logit model, Face Recognition light treatment method, University of numerical analysis algorithms.
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是信号处理的基础，利用贝叶斯原理估计混合logit模型的参数，能量谱分析计算。- Is the basis of the signal processing, Bayesian parameter estimation principle mixed logit model, Energy spectrum analysis and calculation.
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利用贝叶斯原理估计混合logit模型的参数，实现串口的数据采集，LDPC码的完整的编译码。- Bayesian parameter estimation principle mixed logit model, Achieve serial data acquisition, Complete codec LDPC code.
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