- 检测论
- detection: n. 1.探知；发现，发觉；败露。 2.【化学】检定，检 ...
- theory: n. 1.理论，学理，原理。 2.学说，论说 (opp. ...
- minimax detection theory: 极小极大检测理论
- signal detection and extraction theory: 信号监测与抽取理论
- signal detection theory: 信号察觉理论; 信号检测理论; 信号检测论
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detection theory中文什么意思
- 检测论
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- This paper first reviews the evelopment history of robust detection theory and its applications in underwater acoustic signal processing , and then following the introduction of main features of ship - radiated noise and ambient noise
本文首先回顾了robust检测理论的发展过程以及目前在水声信号处理中的应用情况，然后概略分析了舰船辐射噪声和海洋背景噪声的特点。 - In this thesis , firstly , a new distortion current detection theory and approach based on the least compensation current ( lcc ) is presented , and an apf using the new lcc detection method is investigated
首先，在对电力谐波的产生、危害及目前最新的治理措施进行必要的论述和分析的基础上，提出一种基于最小补偿电流的畸变电流检测的新理论和方法和相应的补偿电流最小的单相有源电力滤波器。 - Analyze the fault - detection method for multi - sensor , include fault - detection theory of redundance sensors , special observation state technology and hierarchic multi - model filter detection technology which is proved effective for soft - fault detection by simulation
4 .分析和讨论了卫星多传感器故障检测技术。分别讨论了冗余多传感器故障检测技术,专用观测器故障检测技术及递阶多重模型故障检测技术。 - Firstly , the author learn and analyze the intelligence detection theory . secondly , the try and learning about the combination of fuzzy - loggic and nutral - networe technology is introduced in the paper . finally experiment of the model built on computers shows its reasonability
首先作者学习和分析智能探测的原理,在此基础上研究和尝试将模糊算法和神经网路相结合进行多传感器信息的判断,最后实验结果验证模型的合理性。 - Robust detection theory can be come back to the paper published by fluber in 1965 , it has been developed quickly and has many practical applications in various fields for its robustness against deviation from assumed models and against error as well as other robust signal processing methods
Robust检测理论最早于1965年由huber提出，由于它具有抗干扰和抗误差能力，因此在实际应用中发展较快，并且robust处理技术在各个领域内也都得到重视和发展。
百科释义
Detection theory, or signal detection theory, is a means to quantify the ability to discern between information-bearing patterns (called stimulus in humans, signal in machines) and random patterns that distract from the information (called noise, consisting of background stimuli and random activity of the detection machine and of the nervous system of the operator). In the field of electronics, the separation of such patterns from a disguising background is referred to as signal recovery.
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