spectrum n. (pl. -tra ) 1.【物理學(xué)】譜,光譜;波譜;能譜,質(zhì)譜。 2.【無線電】射頻頻譜;無線電(信號)頻譜。 3.【心理學(xué)】(眼睛的)余像;殘像。 4.〔轉(zhuǎn)義〕范圍,幅度;(連續(xù)的)系列。 an absorption spectrum 吸收(光)譜。 a bright line spectrum 線狀光譜。 an optical spectrum 光譜。 a solar spectrum 太陽光譜。 a wide spectrum of opinion 意見的不同幅度甚大。
Spatial spectrum estimation techniques for satellite interference localization 空間譜估計方法在衛(wèi)星干擾源定位中的應(yīng)用
Phased array system is an important application field of spatial spectrum estimation techniques 相控陣系統(tǒng)是空間譜估計測向技術(shù)的一個重要的應(yīng)用領(lǐng)域。
Spatial spectra of neural electric activities and their application in study of visual spatial selective attention 腦電源的空間譜及其在視覺空間選擇性注意研究中的應(yīng)用
The main studied topic of spatial spectrum estimation is the direction of arrival ( doa ) of spatial signals 空間譜估計的研究主題是在處理帶寬內(nèi)空間信號的到達方向( doa , directionofarrival ) 。
Due to the limitation of this algorithm , this dissertation proposes two improved methods : one - dimension noise subspace - based spatial spectrum estimation algorithm and improved music algorithm 針對算法的此局限性,本文提出了兩種改進方法:基于一維噪聲子空間方法的空間譜估計算法和改進music算法。
Among the algorithms of doa estimation , as the super - resolution spatial spectrum estimation technique , multiple signal classification ( music ) algorithm is one of the most classical algorithms 在對信號doa估計的算法中,作為超分辨空間譜估計技術(shù)的music ( multiplesignalclassification )算法是最經(jīng)典的算法之一。
By analysis of the intermediate frequency signals which through eight antennae and receiver channels , eight channels radio spatial spectrum direction finding system can reach the purpose of finding radio direction 八通道無線電空間譜測向系統(tǒng)通過分析經(jīng)過八路天線和接收機通道以后的中頻信號達到確定無線電信號方向的目的。
The main content of this paper as follows : first of all , the imaging principle in theory of the aft is analyzed : the spatial spectrum of the target is extracted while the three fringes moving across the target , then the image is reconstructed use the algorithms 本文的主要工作如下:首先,理論分析了aft的成像原理:利用3幅干涉條紋掃描目標(biāo)對目標(biāo)空間頻譜信息進行抽取,利用還原算法重構(gòu)目標(biāo)的圖像。
It has more than twenty years since the eigen - decomposition spatial spectrum estimation algorithm was presented . and a lot of efficient methods have been proposed . but most of them are based on the element outputs of the array , namely method at element level 對基于特征分解的空間譜估計測向技術(shù)的研究已進行了二十余年,并已提出了許多有效的方法,但它們絕大多數(shù)都需要已知所有陣元的輸出,即為基于陣元級的方法。
To solve the problem that the present 2 - d temporal - spatial spectrum estimation algorithms are deteriorated when the number of signals become close to the dimension of the array , a kind of new signal model and approach for 2 - d temporal - spatial spectrum estimation is proposed 摘要針對現(xiàn)有空時二維譜估計算法在信號數(shù)增大時均不同程度出現(xiàn)性能上的惡化直至失致的問題,總結(jié)了目前通用的空時二維譜估計信號模型,提出了“時域副流形”的概念及相應(yīng)的信號處理方法。