signal classification造句
例句與造句
- research on spontaneous eeg signal classification based on lvq
的自發(fā)腦電信號的分類研究 - 4 . extending cumulant invariants based signal classification algorithms to gaussian multipath channel environment, we proposed recognition algorithm using multi
對更高調(diào)制階數(shù)mpsk、mqam和aisk信號分類的計(jì)算機(jī)仿真試驗(yàn)，證實(shí)了子類分類算法的有效性。 - 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(jì)的算法中,作為超分辨空間譜估計(jì)技術(shù)的music(multiplesignalclassification)算法是最經(jīng)典的算法之一。 - then, the advanced algorithms of doa estimation on this paper are the multiple signal classification ( music ) method, esprition of signal paramenters via rotational invariance techniques ( esprit ) algorithm and estimation of spatial two-dimension doa
然后重點(diǎn)研究doa估計(jì)算法中的多重信號分類(music)算法,旋轉(zhuǎn)不變子空間(esprit)算法和二維doa估計(jì)算法。 - the music ( multiple signal classification ) algorithm, presented by doctor r . o . schmidt in 1979, is the most classical super-resolution algorithm . on the condition of exact model of antenna array, the music algorithm can estimate the doa of uncorrelated signals accurately
最經(jīng)典的超分辨空間譜估計(jì)方法是schmidt博士在1979年提出的music(multiplesignalclassification)算法，在模型準(zhǔn)確的前提下，該算法能精確地估計(jì)出空間互不相關(guān)信號的到達(dá)方向(doa)。 - It's difficult to find signal classification in a sentence. 用signal classification造句挺難的
- array processing plays a very important role in many fields such as mobile comunication, electronic reconnaissance, parameter estimation, signal discrimination and so on . subspace-based method is one of the important methods of array processing and has producted plenty of high performance algorithms through years of development . the typical ones are music ( multiple signal classification ), esprit ( estimation of signal parameters via rotational invariance technique )
信號子空間方法是陣列測向方法中重要的一種,經(jīng)過多年的發(fā)展,已經(jīng)產(chǎn)生了大量性能優(yōu)異的測向算法,典型的有music(multiplesignalclassification)、esprit(estimationofsignalparametersviarotationalinvariancetechnique)等。 - the applications in fault signal classification and data compression of power system are studied and simulated . through the introduction of multiwavelet network, other two kinds of multiwavelet networks are proposed . the theorems for function approximation abilities of some wavelet networks and multiwavelet networks are proposed and proved
從理論上分析了小波變換和神經(jīng)網(wǎng)絡(luò)的函數(shù)逼近能力以及它們之間的內(nèi)在聯(lián)系，并且利用不同的激勵函數(shù)構(gòu)造相應(yīng)的小波函數(shù)；對小波網(wǎng)絡(luò)在電力系統(tǒng)故障信號分類和故障數(shù)據(jù)壓縮方面的應(yīng)用進(jìn)行了研究和數(shù)字仿真；提出了另外兩種不同的多小波網(wǎng)絡(luò)，對一些小波網(wǎng)絡(luò)和多小波網(wǎng)絡(luò)的函數(shù)逼近能力，提出了相應(yīng)的定理并進(jìn)行了證明。 - there are mainly two type of algorithms used for spatial spectrum estimation : one is those based on bayesian maximum likelihood method, like the ml ( maximum likelihood ) algorithm, maximum entropy method and etc ., the others are based on the spatial decomposition or projection of correlation matrix, this kind of algorithm include vector characterization method, music ( multiple signal classification ) algorithm, projection matrix method, etc . music is a classical spatial spectrum estimation algorithm that has a super high resolution and is widely used today, however, it cannot estimate doa of signals that are correlated
空間譜估計(jì)的算法大致分兩大類:一是基于極大似然估計(jì)和最大后驗(yàn)概率估計(jì)統(tǒng)計(jì)理論的算法,包括:極大似然估計(jì)法(ml)、最大熵法等;另一類是基于對協(xié)方差矩陣進(jìn)行子空間分解或投影的算法,包括:矢量特征法、多重信號分類法(music)、投影矩陣法等。其中,music法是一種經(jīng)典的空間譜估計(jì)主流算法,具有超強(qiáng)的分辨性能,但它無法實(shí)現(xiàn)對相干信號進(jìn)行測向分辨。