So we can utilize the special sensor data to create the currency feature collection via analyzing currency samples in statistics . the fake currency can be identified rapidly and exactly by this method 利用特殊的傳感器數(shù)據(jù),通過對貨幣樣本的統(tǒng)計(jì)分析建立貨幣的特征模式集,實(shí)現(xiàn)對真?zhèn)蔚目焖?、?zhǔn)確識別。
In this paper , we combine the multi - scale representation and the multi - sensor data fusion technique with the solving of the inverse problem . the main contributions of this paper are as follows : 1 為此,我們在已有研究的基礎(chǔ)上,將逆問題求解與多傳感器多尺度數(shù)據(jù)融合技術(shù)相結(jié)合,開展了以下幾個(gè)方面的研究工作: 1
The mini uav ' s measurement and control system is a substantial part of a mini uav , which takes charge of the multi - sensor data collection and procession , providing the foundation of navigation and control 微型無人飛行器測控系統(tǒng)作為微型無人飛行器的重要組成部分,主要負(fù)責(zé)多傳感器數(shù)據(jù)采集與處理,為導(dǎo)航控制提供參考依據(jù)。
At the lowest layer , the original sensor data is converted to information of signal type , and by a series effusion steps , the information can be converted to more abstract numbers and symbols 四川大學(xué)博士學(xué)位論文在最低層,原始的傳感數(shù)據(jù)被轉(zhuǎn)換為信一號型信息,經(jīng)過一系列的融合步驟后,信息可能又被逐步轉(zhuǎn)換為更抽象的數(shù)字或符號表達(dá)的知識。
It classifies data of conflict , redundancy and complementarity according to the relationship of self - entropy and mutual entropy about sensor data , and builds the structure of multisensor data classification for classified fusion 該方法根據(jù)傳感器數(shù)據(jù)自熵和互熵的關(guān)系實(shí)現(xiàn)沖突、冗余和補(bǔ)充的數(shù)據(jù)分類,建立多傳感器數(shù)據(jù)分類結(jié)構(gòu)并進(jìn)行分類融合。
In order to let each sensor of the multi - sensor system obtain more accurate measurement results , the wavelet - based denoising and the multi - sensor data fusion algorithms are employed to reconstruct outputs of each senor 摘要為了從被噪聲干擾的各個(gè)傳感器測量值中獲得更準(zhǔn)確的測量結(jié)果,提出了一種基于小波去噪和多傳感器數(shù)據(jù)融合的傳感器數(shù)據(jù)重建算法。
To multi - sensor data fusion algorithm based on rough sets theory and its appliance in target recognition , via clearing up and summing up research literature in existence , this paper does deeper research and does simulation experiment 對基于粗集理論的多傳感器數(shù)據(jù)融合算法及在目標(biāo)識別中的應(yīng)用,在整理、歸納現(xiàn)有研究文獻(xiàn)的基礎(chǔ)上,并進(jìn)一步深入研究和仿真實(shí)驗(yàn)。
Multi - sensor data fusion technology can synthetize every side information from multi sensors , can acquire more complete and more accurate information of observation object , then acquire more accurate and more rapid decision and estimation 多傳感器數(shù)據(jù)融合技術(shù)能夠綜合多個(gè)傳感器提供的各個(gè)側(cè)面信息,可以獲得觀測對象更全面、更準(zhǔn)確的信息,從而得到準(zhǔn)確、快捷的決策和判斷。
Firstly , this paper expounds the basic theory 、 basic concept and the character 、 merit 、 apply background of multi - sensor data fusion , summarizes the level and model configuration form of data fusion , summarizes and classifies the fusion arithmetic in common use 總結(jié)了數(shù)據(jù)融合的層次和模型結(jié)構(gòu)形式,對常用的融合算法進(jìn)行了總結(jié)分類,并介紹了多傳感器數(shù)據(jù)融合技術(shù)的發(fā)展和研究現(xiàn)狀。
Based on the multifunctional combined sensors , application system was succeeded , which consists of multifunctional sensor data acquisition , single chip computer , data display , and controller area network ( can ) - bus protocol node unit 以多功能組合傳感器為基礎(chǔ),設(shè)計(jì)了多功能組合傳感器的應(yīng)用系統(tǒng)。該應(yīng)用系統(tǒng)在結(jié)構(gòu)上主要包括現(xiàn)場數(shù)據(jù)采集、單片機(jī)、數(shù)據(jù)顯示以及can總線協(xié)議轉(zhuǎn)換等單元。