low-order 中文意思是什麼
low-order
解釋
低位, 低階-
The visx star star 4 combines the technologies of customvue wavescan aberrometer, activetrak 3 - d active eye tracking, iris registration, variable spot scanning and variable repetition rate to provide customized wavefront treatment. in the past, standard lasik corrects refractive errors, such as myopia, hyperopia and astigmatism which are so - called low order aberrations
威視visx star 4是結合前波前像差分析儀3d眼球主動追蹤系統虹膜定位系統ir iris registration及智慧型超微光斑等技術去提供個人化激光矯視療程。在過去，標準lasik可解決近視遠視及散光等所謂低階像差問題。 -
64 - bit quantity, the shift count is given by the low - order six bits of second operand
（ 64位數） ，則移位數由第二個操作數的低6位給出。 -
64 - bit quantity, the shift count is given by the low - order six bits of the second operand second operand 0x3f
（ 64位數） ，則移位數由第二個操作數的低六位給出（第二個操作數& 0x3f ） 。 -
In addition, the exchange was configured with no m1 byte, and could not support far - end error indication on the multiplexing segment and low - order and high - order channels
無m1位元組，不支持復用段遠端差錯指示功能，不支持高階通道遠端差錯指示功能、低階通道遠端差錯指示功能和低階通道遠端失效指示功能。 -
At the same time, the exchange could not support far - end error indication on the multiplexing segment and low - order and high - order channels. it could not support far - end out - of - work indication on the low - order channel either
同時， p3s交換機不支持復用段遠端差錯指示功能，不支持高階通道遠端差錯指示功能、低階通道遠端差錯指示功能和低階通道遠端失效指示功能等告警顯示功能。 -
Also it could realize the call processing function in cooperation with other exchanges via its stm - 1 interface. we suggest that ericsson further improve the frame synchronization detection feature and the s1 byte display feature on its stm - 1 exchange interface, and add far - end error indication on the multiplexing segment and low - order and high - order channels and far - end out - of - work indication on the low - order channel
建議愛立信交換機stm - 1介面完善其幀同步檢測功能和s1位元組顯示功能，並增加復用段遠端差錯指示功能、高階通道遠端差錯指示功能、低階通道遠端差錯指示功能和低階通道遠端失效指示功能等傳輸告警功能。 -
The exchange could not terminate m1 bytes, high - order channel far - end error indication signals, n1 bytes, low - order far - end error indication signals, n2 bytes, k4 bytes and low - order channel far - end out - of - work indication. instead, it could only send those bytes back to the originating side
上海貝爾p3s交換機不能終結m1位元組、高階通道遠端差錯指示信號、 n1位元組、低階通道遠端差錯指示信號、 n2位元組、 k4位元組、低階通道遠端失效指示，而是將這些位元組回傳給發送端。 -
It was proved that shanghai bell s p3s exchange could not terminate some alarm overhead bytes. instead, it sent back those bytes to mistake local errors for far - end faults. we suggest that shanghai bell terminate such bytes, improve the frame synchronization detection function and the processing of s1 bytes, and add far - end error indication on the multiplexing segment and low - order and high - order channels and far - end out - of - work indication on the low - order channel
測試結果表明，上海貝爾p3s交換機不能夠終結某些告警開銷位元組，而是將這些位元組進行回傳，從而將本端的錯誤誤認為是遠端的錯誤，建議上海貝爾p3s交換機按終結方式處理這些位元組，完善幀同步檢測功能和對s1位元組的處理，並增加復用段遠端差錯指示功能、高階通道遠端差錯指示功能、低階通道遠端差錯指示功能和低階通道遠端失效指示功能等傳輸告警功能。 -
The first natural frequency map in working space was drawn, which can be useful for selecting proper working position to avoid resonance or low - order harmonic oscillation
討論了頻率求解精度、收斂性與單元橫向彈性位移型函數以及單元數量之間的關系。 -
5. a multivariable process identification based on asymptotic black - box theory is studied. firstly, a high - order mimo arx model and its frequency error bound is estimated from identification data and low - order siso models is obtained from high - order mimo arx model
作者對一種基於漸近黑箱理論的多變量過程辨識方法進行了研究：首先用高階arx模型估計模型參數，並給出高階模型的頻域均方誤差；然後，對高階arx模型進行降階處理。 -
Secondly the detection precision is only related to the synchronization phase but not to the amplitude of the mainline voltage because that it uses the optimized pulses synchronous with the mainline voltage as modulation signals. thirdly it decreases the requirement of the input low pass filter and eliminates the error resulting from the direct component and even harmonics of load current. the most significant merit is that it can eliminate the effect of a few low order odd harmonics and the detecting circuit is easy to be implemented
模擬和實驗結果表明該方法的主要優點有：不需使用乘法器進行信號調制，調制信號採用與電網電壓同步的優化特定脈沖，其檢測精度只與同步相位有關，而與電網電壓幅值無關；降低了對輸入低通濾波器的通頻帶要求，直流和偶次諧波分量對檢測精度沒有影響；突出的優點是可以消除有限個低奇次諧波對檢測結果的影響。 -
Proper selection of control algorithms and capacitor voltages helps synthesize controllable and waveforms almost sinusoidal three - phases ac voltage with minimum low - order harmonics at both sides of the converter
選擇適當的控制演算法和電容電壓，能在變換器的兩側合成低次諧波含量小且波形近似於正弦的可控輸入/輸出電壓。 -
Surge suppressor and low - order harmonic filter can improve power supply quality
摘要利用浪涌抑制器和低次諧波濾波裝置，可有效改善供電質量。 -
At last, compared the three data extention technologys merits. the time - series based and neuron network based data extention methods were proposed. chapter four studied the improvement of the emd algorithm al efficiency and precision. reserthed the effect of spline interpolation ' s end condition to the emd algorithm ' s precision, then discussed the low - order and propoed high - order spline interpolation based emd algorithm and their effects
第三章介紹了emd演算法端點效應的機理；然後系統地研究了直接信號序列延拓技術、基於時間序列預測和基於神經網路預測的數據序列延拓技術的特點及性能；最後，對各種延拓技術進行了比較研究，分析了各種延拓技術的優缺點。 -
3. the modeling method based on mechanism analysis and identification method always exits unmodeled high - order part and the modeling method based on neural networks usually has not good enough generalization capability. we fuse above two kinds of modeling method and put forward a hybrid modeling method based on mechanism analysis, identification and rbf neural networks. this paper proposed a hybr id modeling method based on mechanism analysis, identification and rbf neural networks. first, get a object ' s low - order model by the mechanism analysis and identification method. second, adopt rbf neural networks modeling method to compensate unmodeled high - order model. the sum of the low - order model and high - order model is the hybrid model. this kind of hybrid model has more accuracy than a model based on mechanism analysis and identification and has more generalization capability than a model based on neural networks
針對基於機理分析和辨識的建模方法總是存在未建模的高階部分，精度不夠高和神經網路建模方法泛化能力差的缺點，將這兩種建模方法進行融合，提出基於機理分析、系統辨識和rbf神經網路的混合建模方法，首先採用機理分析和辨識的方法得到工業對象的低階模型，再用rbf神經網路建模方法補償未建模高階模型，這樣得到的混合模型，比單純基於機理分析和辨識的建模方法具有更高的精度，比單純的神經網路的建模方法具有更好的泛化能力。 -
Therefore, it can be used as an efficient new model for geometric design in the fields of cad / cam. at last, the spatial definition of periodic spline and natural spline constructed by polynomial and hyperbolic functions is given ; the dimension law and zero properties are demonstrated ; and therefore the non - uniform algebraic - hyperbolic period and natural spline curves are obtained. the applications of the low order are given in details
三、給出代數雙曲周期樣條及自然樣條空間定義，證明其維數定理和零點定理，構造具有最小緊支撐的非均勻代數雙曲周期及自然樣條函數，進而定義非均勻代數雙曲周期及自然樣條曲線，最後具體給出低階的表示和應用 -
Lovc : low order virtual container
低階虛容器 -
The effects of the atmospheric turbulence disturbance for free - space laser communication systems are analyzed in the paper, and the correction of low - order modes with adaptive optics system for wave - front error are also discussed
本論文分析和論述了大氣擾動對空間激光通信的影響以及利用自適應光學系統校正低階模式波前誤差理論。 -
In the paper, some key technique such as low - order modes correction for wave - front error, normalized phase power spectrum, atmospheric turbulent phase structure function, the residual phase structure function after low - order correction and strehl ratio are all analyzed
提出了利用自適應光學系統校正低階模式波前誤差的方法與理論依據，引入規格化的相位譜，推導了大氣湍流相位結構函數、低階模式校正後的殘余相位結構函數以及斯特列爾比。 -
This paper has adopted the low - order surface panel method based on velocity potential to predict the unsteady performance of propeller
本文採用基於速度勢的低階面元法進行螺旋槳非定常性能的預報。
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