目标识别系统的英文

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英文翻译
造句

target identification system

目标 target; objective
识别 discriminate; distinguish; d ...
系统 system
激光目标识别系统 laser target recognition system
预警和目标识别系统 early-warning and target identification system
声识别系统 sound recognition system
识别系统 identification system; identity systems; recognition system
假目标识别 decoy discrimination
目标识别 goal identification; object identification; object recognition; target recognition; ti target identification
目标识别器 target marker
目标识别图 target recognition chart
水下目标识别与延时系统 underwater target identification and delay system
部件识别系统 uis unit identification system
船舶识别系统 shiidentification scheme
代码识别系统 code recognition system
敌我识别系统 iff
地形识别系统 terrain recognition system
飞机识别系统 aircraft identification system
公司识别系统 corporate identity system
汉字识别系统 chinese character recognition system
机器识别系统 mechanical recognition system
激光识别系统 laser identification system
简明识别系统 fool-proof identification system
媒体识别系统 media recognition system
模式识别系统 prs pattern recognition system

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例句与用法

In chapter 5 , a six channels data acquisition system used in three seeker system is developed to acquire data for target recognition
第五章介绍了一种适用于三种体制的多通道采集系统，用于目标识别系统的数据获取。
( 2 ) the improvement of the svm training procedure when we training an object recognition system , the image with object always contains a background
( 2 ) svm训练过程的改进训练一个目标识别系统，这时物体图像总是包含一个背景。
It can recognize and track color target real - time and stability experimental results show that all the above algorithm is effective and fast operating
实验表明,彩色目标识别系统采用上述算法在实际操作中行之有效,而且实时性好。
In allusion to the characteristics of the information uncertainty during the sensor management process in fusion target recognition system , we proposed a sensor management method for target recognition based on discrimination
摘要针对融合目标识别系统传感器管理过程信息不确定性的特点，首次提出了一种基于分辨力的目标识别系统中的传感器管理方法。
A model of gabor wavelet neural network is constructed with automatic target recognition , the real time process aim is realized with the automatic target recognizing system applying optimizing theory and self - adapt technique
同时构建了用于灰度图像目标识别的oabor小波神经网络模型，应用优化理论和自适应技术，使目标识别系统达到实时处理的目的。
The key algorithms and technologies in the system realization are studied and discussed from the theory and practice , the aim of the research is the designing and realizing the neural networks target system based on many cpu . this thesis mainly consists of the following parts
论文以基于多cpu神经网络目标识别系统的设计与实现为宗旨，在理论和实践两个方面研究和探讨了系统实现过程中所涉及的关键算法和关键技术。
This article introduces the developing history and the current situation of the automatic goal discern , and on the basis of structure of the parallel computer and neural network knowledge , it analyses the hardware and software engineering foundation that realized the real - time goal recognition system
介绍了自动目标识别的发展历史和现状，在并行计算机结构和神经网络知识的基础上，分析了实现实时目标识别系统的硬件和软件技术基础。
The study provides theoretical basis for selecting various sensors and effectively fusing information from them in multi - sensor target identification systems . furthemore , the recurrence formula of fusion identification can reduce computational load , enhance adjustability of distributed multi - sensor identification systems , and they can be used in the case of real time . these results have great value for solve problem of military target identification
这些研究是多传感器目标识别系统中不同类传感器的选择及其信息的有效d - s融合的理论依据，且融合识别的递推式不仅可减少计算的复杂度，增强多传感器分布识别的可调性，而且可用作多传感器实时融合识别的递推式，这对解决军事等领域的目标识别问题有重要价值。
We have designed the hardware of target identity system with tms320vc5410 fixed - point dsp , completed data acquisition using a / d max 197 , successed in communication with computers by max3111 . it is comprised that an independent data signal processing and control system based on 5410
我们选用tms320vc5410定点dsp芯片来进行目标识别系统的硬件设计，使用max197模数转换芯片完成了数据采集的任务，使用max3111实现了与计算机之间的数据通信，以5410为核心构成了一个自封闭式的数字信号处理与控制系统。
In this dissertation , base on the review and analysis of current mainstream algorithms and techniques , we build up whole rtr system , and study some efficient recognition methods for different radar characters . the major research work and contributions in this dissertation are summarized as below : 1 . summarized current popular pattern recognition methods , this dissertation researched in the algorithms and performances of nearest neighbor ( nn ) classifier , multi - layer perceptron and rbfn ( radial basis function network )
本文在总结当前主流雷达目标识别算法的基础上,建立起基于gbr的雷达目标识别系统,并且对弹道导弹的各种特识别方法进行了研究,主要进行的工作和创新有: 1 .研究和总结了当前常用的分类识别方法,针对雷达目标识别的特点,对近邻分类器、多层感知器和径向基函数网络( rbfn )分类器的算法和性能进行了研究。