correlation matrices中文是什么意思

發(fā)音:

中文翻譯
造句

相關(guān)矩陣

correlation n. 相互關(guān)系，相關(guān)(性)；對(duì)比；交互作用；【數(shù)學(xué)】對(duì)射 ...
matrices n. matrix 的復(fù)數(shù)。
correlation n. 相互關(guān)系，相關(guān)(性)；對(duì)比；交互作用；【數(shù)學(xué)】對(duì)射，異射。 correlation index 關(guān)聯(lián)指數(shù)。 correlation mineral 對(duì)比礦物。
no correlation 無相關(guān)
addition of matrices 矩陣加法
adjacent matrices 相鄰矩陣
adjoint matrices 伴隨距陣
algebra of matrices 矩陣代數(shù)
associated matrices 共軛轉(zhuǎn)置矩陣; 結(jié)合矩陣
augmented matrices 增廣矩陣
canonical matrices 典型矩陣
chain matrices 鏈接矩陣
coefficient matrices 系數(shù)矩陣
cogradient matrices 同步矩陣
communication matrices 通訊矩陣
commutative matrices 可換矩陣; 可換陣
commuting matrices 可交換矩陣
compound matrices 復(fù)合矩陣; 復(fù)合陣
computational matrices 計(jì)算矩陣
conformable matrices 可相乘矩陣; 可相乘陣
congruence of matrices 矩陣的相合; 矩陣相合
congruent matrices 相合矩陣
conjugate matrices 共軛矩陣; 共軛陣
conjugated matrices 共軛矩陣
conjunctive matrices 共軛相合矩陣

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例句與用法

Based on the periodical characteristic of the two - dimensional spread spectrum matrix , the method estimates the frequency offset , and then synchronizes the symbol timing by moving the position of data - storage window to calculate the maximum eigenvalue of correlation matrix
該方法利用二維擴(kuò)頻矩陣周期性重復(fù)的特點(diǎn)，先估計(jì)出頻率偏差，再通過滑動(dòng)暫存窗求相關(guān)矩陣最大特征值，完成信號(hào)的時(shí)間同步。
2 . using servqual standard scales as a major part of the questionnaire , a survey focusing on customer expectations , customer perceptions and other relative factors is conducted on retailing bank consumers in zhejiang province . a gap analysis , an exploratory factor analysis , correlation matrix and cross - tabs are put into practice , which could contribute to explaining , objectively and quantitatively , the present situation of the cs in china , especially in zhejiang province , and also demonstrating the relationship between the cs and other factors , such as the customer loyalty , in the fspc
第二部分，以浙江省銀行業(yè)零售顧客為對(duì)象，利用servqual方法對(duì)顧客期望值、顧客感知值及相關(guān)因素進(jìn)行了測定；運(yùn)用缺口分析、探測性因子分析、相關(guān)矩陣分析、 cross - tabs分析等方法，客觀地、定量地揭示了金融服務(wù)顧客滿意度的現(xiàn)狀，分析了顧客滿意度與“鏈”中相關(guān)要素(如，顧客忠誠度)的關(guān)系，填補(bǔ)了國內(nèi)該領(lǐng)域研究的空白。
The second localization method , called esprit - corr needs no pairing , which is based on the joint estimation of bearing and time - delay . by construct a correlation matrix different from conventional esprit , the method estimates bearings using the general eigenvalues , estimates time - delays using corresponding general eigenvectors , and the parameters in two dimensions are paired automatically
這是一種方位?時(shí)延聯(lián)合估計(jì)的方法它通過構(gòu)造與常規(guī)esprit不同的相關(guān)矩陣，用廣義特征值估計(jì)多目標(biāo)的方位，而用廣義特征矢量估計(jì)多目標(biāo)的時(shí)延(距離) ，同時(shí)方位和時(shí)延參數(shù)可自動(dòng)配對(duì)。
Cycle frequency - based blind beamforming shows the performance degradation due to cfe ( cyclic frequency error ) . an improved algorithm is presented in literature 6 , which adopting forgetting factor in estimation cyclic correlation matrix would largely depress the sensitivity of cab to cyclic frequency error . by using this method , the improved algorithms of the c - cab and ecab algorithms are presented in this dissertation
針對(duì)基于循環(huán)頻率的盲波束形成算法對(duì)循環(huán)頻率誤差cfe ( cyclicfrequencyerror )很敏感而導(dǎo)致算法性能下降的情況，參照文獻(xiàn)[ 6 ]提出的遺忘因子cab算法，提出了c - cab算法以及基于特征空間的盲波束形成算法( ecab )的改進(jìn)算法。
It is especially attractive for the downlinks and suppressing intercell mai . when multiuser detector is adapted in blind mode , it usually adopts eignvalue decomposition or singularvalue decomposition of received sample correlation matrix and tracking alrithgms , which result in high computational complexity . at the same time , approximation computation in tracking alrithgms also result in slow convergence
為實(shí)現(xiàn)盲自適應(yīng)檢測，通常采用對(duì)接收信號(hào)樣本矩陣進(jìn)行特征值分解( evd )或奇異值分解( svd )后進(jìn)行跟蹤，由此帶來的子空間秩跟蹤使得實(shí)現(xiàn)復(fù)雜度很高；另一方面，在跟蹤算法中考慮一些實(shí)際情況而作出近似處理，從而引起誤差積累和正交性誤差，導(dǎo)致每次跟蹤開始階段跟蹤速度變慢。
But the results of gray system such as absolute degree of gray incidence and matrix of absolute degree of incidence can be taken as the pleased solution of correlation coefficient and correlation matrix in the frame of statistics , as they have the statistical connote , so we can use the statistical method to handle the results until we abstain the pleased solution of what we want
對(duì)于“灰”性較大的數(shù)據(jù)，顯然是首選灰色系統(tǒng)的方法，但用灰色方法處理后的結(jié)果，如灰色關(guān)聯(lián)度、灰色關(guān)聯(lián)度矩陣等，可以看作是統(tǒng)計(jì)范疇內(nèi)的相關(guān)系數(shù)、相關(guān)陣的滿意解或近似解，仍具有統(tǒng)計(jì)范疇內(nèi)的相關(guān)系數(shù)、相關(guān)陣的內(nèi)涵。
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(duì)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(hào)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(duì)相干信號(hào)進(jìn)行測向分辨。
A kind of mud based on transversal equalizer is recommended , and the performance analysis of ds - cdma systems based on that mud has been done under synchronous channels . then the expression of output signal is deduced . also , the relations among sinr of output signal , snr and correlation matrix of spread code the least mean square error ( lms ) adaptive algorithm is applied to the mud
論文引入基于橫向均衡結(jié)構(gòu)的多用戶檢測器，用矩陣方法推導(dǎo)了awgn信道下、同異步系統(tǒng)中信號(hào)輸出表達(dá)式，依據(jù)最小均方差準(zhǔn)則，討論了同步方式下檢測器的輸出信號(hào)干擾比與信噪比、擴(kuò)頻碼相關(guān)陣以及用戶功率大小等因素間的關(guān)系。
In this paper , a new interference - space - based blind adaptive mmse linear detector and the corresponding tracking algorithm based interference correlation matrix is proposed for mai in cdma wireless celluar communication system . analysis and simulation illustrate that the proposed blind multiuser detector has lower computational complexity , faster convergence and stronger robust with respect to imprecise knowledge of the received signature waveform of user of interest
圍繞著cdma無線蜂窩移動(dòng)通信系統(tǒng)中的多址干擾( mai )抵消問題，本論文在現(xiàn)有盲自適應(yīng)多用戶檢測技術(shù)基礎(chǔ)上，提出了一種新的基于干擾空間線性mmse盲自適應(yīng)多用戶檢測器及其相應(yīng)的基于干擾自相關(guān)矩陣c _ 1跟蹤算法。

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