spectral average 中文意思是什麼
spectral average
解釋
譜平均數-
And understanding and studying the spectral features and variation rules of geo - targets in the experimental area, raising that it is the basis of geo - targets information collection with imaging spectrometer data to understand spectral features and variation rules of geo - targets, realizing that in a great extent spectral - integrated - form - based classification method can remove the phenomenon of " different spectrum with same objects " resulted from reflection ratio curve translation because of the angle change among sensor, targets and observation direction, and the average and variance images can be introduced to solve the problem of two kinds of geo - target with similar spectral forms and much different values of whole reflection ratio. it is suggested that " red edge " range bands of vegetation, which has close relationship with vegetation cover and biomass, is the main characteristic bands and important basis for careful vegetation classification and quantitative retrieval, and pixel - based derivative spectral analysis is very useful for removing the effects of soil background values and quantitatively retrieving vegetation biomass and cover. the remote sense quantitative retrieval model is developed for main appraisable factors of desertification monitoring assessment with imaging spectrometer data and then the applicability of model is analyzed
研究結果如下：首先針對荒漠化地區的地物特徵，對高光譜數據不同波段的數據質量、波段組合進行了評價，提出了適用於荒漠化監測的基本波段選擇集；初步了解和掌握了研究地區的地物光譜特性及變異規律，進一步明確了掌握地物光譜特徵和變異規律是用成像光譜儀數據提取地物信息的基礎；發現了基於光譜整體形狀的分類方法在很大程度上能夠消除由於傳感器、地物目標觀測方向之間的角度變化引起的反射率曲線整體平移的「同物異譜」現象，對于譜形相似而整體反射率的值相差較大的兩類地物，通過引入均值和方差圖像參與分類得到解決；研究還表明在植被「紅邊」范圍內的波段是進行荒漠化監測的主要特徵波段，這些波段與植被生物量和蓋度都有密切的關系，是開展精細植被分類研究和植被定量反演的重要基礎；像元的導數光譜分析可以消除土壤背景的影響，是進行植被生物量和蓋度定量反演的有力工具；建立了荒漠化監測主要評價因子的定量反演模型，並分析了模型的適用性。 -
The upper bounds of the spectral radius of digraphs in term of average 2 - degrees
有向圖的譜半徑的二次度形式的上界 -
In this thesis, we compared the two acm through simulation, and analyzed their merits and flaws. then we present an optimal design scheme of average spectral efficiency in adaptive coded modulation system
本文對上述兩種自適應編碼調制策略做了比較，分析了各自的優缺點，並提出了一種基於平均頻譜效率的自適應編碼調制的優化方案。 -
Second, a novel algorithm named model predicition ( mp ) is proposed to wipe off spectral correlations of hyperspectral images. mp algorithm finds the linear model of hyperspectral images, in which predictive coefficients are set up that is based on snr. because predictive coefficients include current spectral band, average entropy of the error data is decreased and snr is increased after mp
Mp演算法建立了高光譜圖像的線性模型，推導出了信噪比意義下的最佳預測系數，由於系數中包含了當前譜帶的數據，因此經過mp演算法去相關之後，殘差圖像的平均熵有所降低，同時信噪比提高很多。 -
We consider a causal, stationary, autoregressive, moving average [ arma ( p, q ) ] process with heavy tailed noise variables. we develop the definition of the inverse autocorrelation function, and obtain the g - spectral estimator of the inverse autocorrelation function
本文基於噪聲序列具有重尾分佈的因果、平穩自回歸滑動平均[ arma （ p ， q ） ]過程，給出了其逆自相關函數的定義，並且給出了逆自相關函數的g -譜估計。 -
We estimated the fusion images in both subjective factors and objective factors. the objective parameters involved entropy, average gradient, spectral divergence, correlation coefficient and the accuracy of the classification
對融合后的圖像分別從主觀和客觀兩個方面進行了定性和定量的評價，其中客觀評價分別採用了熵、平均梯度、光譜差異、相關系數以及分類精度作為評價標準。 -
Future mobile communications have to support the transmission of high rate data and multimedia applications in the radio spectrum, which is already extremely scarce. the basic idea of adaptive coded modulation is to maintain a constant throughput by varying the transmitted power level, symbol transmission rate, constellation size, coding rate or any combination of these parameters. thus, without sacrificing bit - error rate ( ber ), these schemes provide high average spectral efficiency by transmitting at high speeds under favorable channel conditions, and reducing throughput as the channel degrades
自適應編碼調制（ adaptivecodedmodulation ， acm ）的基本思想是在不犧牲系統傳輸性能（比如ber ）為代價的前提下，通過單獨改變發送功率、波特率、編碼方案、碼率、調制方式，或者是綜合改變前面所述的各種參數，在有利的通道條件下，獲得較大的吞吐量，當通道質量下將時，相應地降低傳輸速率，最終達到提高平均頻譜效率的目的。 -
The spectral correlation density must be estimated before the ds signal parameter estimation. in order to reduce the effect of random noise, we provide a improved method to estimate the spectral correlation density which is based on the average algorithm. it can make the spectral line be more obvious, and improved the snr limit when estimating these parameters
在利用ds信號譜相關域所表現的特徵進行參數估計時，首先要利用有限時間數據對ds信號進行譜相關密度估計，為降低隨機噪聲對譜相關密度估計的影響，本文引入了集平均的思想，提出採用集平均的方法估計譜相關密度，從而在參數估計時，特徵譜線更顯著，提高了參數估計的信噪比容限。
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