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Static and dynamic signal processing methods for practical use based on some extension of Gaussian probability in stochastic evaluation of room EM and acoustic environment.

机译：基于Gaussian概率在随机评估室EM和声学环境中的高斯概率的实际使用静态和动态信号处理方法。

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Mitsuo Ohta; Hitoshi Ogawa; Kazutatsu Hatakeyama;
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年度 2002
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1. Static and dynamic signal processing methods for practical use based on some extension of Gaussian probability in stochastic evaluation of room EM and acoustic environment [J] . Hitoshi Ogawa, Kazutatsu Hatakeyama, Mitsuo Ohta Acoustical science and technology . 2002,第3期

机译：基于高斯概率的某种扩展的静态和动态信号处理方法在房间EM和声学环境的随机评估中的应用
2. A comparative evaluation of stochastic-based inference methods for Gaussian process models [J] . M. Filippone, M. Zhong, M. Girolami Machine Learning . 2013,第1期

机译：高斯过程模型基于随机推理方法的比较评估
3. A comparative evaluation of stochastic-based inference methods for Gaussian process models [J] . M. Filippone, M. Zhong, M. Girolami Machine Learning . 2013,第1期

机译：高斯过程模型基于随机推理方法的比较评估
4. Two Signal Processing Methods Intended for Utilizing the Standard Gaussian Distribution in the Stochastic Evaluation of Room Acoustics and Lighting [C] . Hitoshi Ogawa, Mitsuo Ohta, Akira Ikuta International Congress and Exposition on Noise Control Engineering . 2003

机译：用于利用标准高斯分布在房间声学和照明的随机评估中的标准高斯分布的两个信号处理方法
5. A dynamic on-demand all-red clearance interval extension process for stochastic vehicular arrivals at signalized intersections. [D] . Gates, Timothy J. 2007

机译：动态随机全红色间隙间隔扩展过程，用于随机车辆到达信号交叉口。
6. Grinding Wheel Loading Evaluation by Using Acoustic Emission Signals and Digital Image Processing [O] . Chien-Sheng Liu, Yang-Jiun Ou 2020

机译：通过使用声发射信号和数字图像处理来研磨轮加载评估
7. A STOCHASTIC EVALUATION FOR ACOUSTIC ENVIRONMENTAL SYSTEM BY INTRODUCING TWO TYPE INFORMATION PROCESSING METHODS BASED ON REGRESSION MODEL OF EXPANSION SERIES TYPE AND FUZZY PROBABILITY [O] . Akira IKUTA, Mitsuo OHTA 1995

机译：基于膨胀系列类型型和模糊概率的回归模型引入两种信息处理方法对声学环境系统的随机评估
8. Adaptive Hessian-based Non-stationary Gaussian Process Response Surface Method for Probability Density Approximation with Application to Bayesian Solution of Large-scale Inverse Problems [R] . Bui-Thanh, T., Ghattas, O., Higdon, D. 2011

机译：基于自适应Hessian的概率密度逼近非平稳高斯过程响应面法及其在大规模反问题贝叶斯解中的应用

Static and dynamic signal processing methods for practical use based on some extension of Gaussian probability in stochastic evaluation of room EM and acoustic environment.

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