noise vector 中文意思是什麼
noise vector
解釋
噪聲矢量-
Area electronic buoys system is a large - scale underwater sound equipment of tracking and locating moving objects such as submarines, torpedoes and ships. with advanced vector sensors as detective devices, it has excellent antinoise performance, and its signal noise ratio is high
區域電子浮標系統是一套大型的水聲跟蹤定位設備，其主要任務是準確跟蹤和定位海上多個運動目標（如潛艇、魚雷、船隻等）的運動軌跡。 -
The profit signal and noise vectors are orthogonal to each other, so the variation vector is the hypotenuse in a right triangle
有效信號適量和噪聲信號適量相互正交，所以變量矢量是直角三角形的斜邊。 -
The convergence of integrals of s. i. s. vector random measures with respect to a white noise
向量隨機測度關于白噪聲的積分的收斂性 -
Win600 automobile lift has the same control system as freight lift, i. e. micromputer control or plc control, and the same tracyion system as freight lift, i. e. vvvf vector control, to make it safe, reliable, stable, comfortable, energy - saving and of high leveling precision as freight lift. the car is equipped with four or six symmetric guide rails, to solve the problem of wobbling caused by the unbalance load of car and reduce the noise of operation, the door is equipped with reliabe optical screen protction or infrared electronic protecyion, to ensure the safe entry and exit of automobile. the double - controller design inside the car gives convenience to the operation of automobile driver
Win600系列汽車電梯的控制系統與載貨電梯一樣採用微機或plc控制，拖動系統樣採用vvvf矢量控制，因此，同樣具有安全可靠平穩舒適節能環抱平層精度高的特點。轎廂採用對稱的4根活6根導軌導向，解決了轎廂裝載不平衡引起晃動的問題，降低了運行的噪音。轎門裝有高可靠的光幕保護活紅外線電眼保護，保證汽車安全的進出。 -
Biology, etc. owing to many merits has not yet been used to measure parameters of gratings. the paper researches on the subject in view of current lack of it. the main tasks of the paper include : analyzing ellipsometric characteristics of gratings in detail with vector diffraction theory and ellipsometrics ; devising a reflective quarter wave plate at normal incidence according to some ellipsometric characteristics ; making use of normal simplex algorithm during ellipsometric inversion of gratings parameters, inversing ellipsometric parameters with gaussian noise of different standard deviations to simulate actually measured values with examples of isotropic metallic and anisotropic step gratings and testing that ellipsometry about gratings parameters is feasible with the range of certain precision ; discussing choice of incidence angle at length
本論文的主要工作包括：結合光柵的矢量衍射理論和薄膜的橢偏理論，詳細分析了光柵的橢偏特性；並且根據一些橢偏特性設計出一款正入射反射型單波長1 4波片；在光柵參數的橢偏反演中，引入正單純形法作為反演演算法，分別以各向同性的正弦形金屬光柵和各向異性的階梯型光柵為例，在標準橢偏值的基礎上加入不同偏差的高斯噪聲來模擬實際的橢偏測量值進行反演，在一定精度范圍內得出滿意的光柵參數，說明光柵參數的橢偏測量是可行的；還就入射角的選取問題進行了一定的探討。 -
Usually, single vector sensor will obtain infinite gain if noise energy flow can be counteracted in whole space
在理想情況下，若噪聲場為各向同性噪聲場，則通過聲能流長時間積分，單個矢量水聽器便可獲得無限大的增益。 -
The paper forms the three information measures into measure vector as the input of cmac - cerebellar model articulation controller neural network and proposes a method of edge detection based on information measures and cmac. the edge contours generated by this method is very legible. the method has a high runtime performance and improves the resistance to noise
本文將圖像的三個信息測度作為分量組成邊緣特徵的測度向量，作為小腦模型神經元網路? cmac的輸入，提出一種基於信息測度和cmac網路的邊緣檢測方法，用該法得到的邊緣輪廓清晰，實時性好，並且抗噪能力有明顯提高：將上述邊緣檢測方法應用於無人值守變電站，提出一種瓷瓶裂紋故障監控方案。 -
We present an image - hiding cryptosystem based on vector quantization and wavelet transform. the key information of secret image is encrypted and then hidden into another image, which can be publicly accessed. in the paper, we compress the key image information using vector quantization, and apply wavelet transform method in compressing and noise - removing to improve the image quality
論文中，使用矢量量化的方法大大壓縮了保密信息的數據量，並將圖像的小波變換應用在圖像的前期壓縮和後期去噪聲的過程中，提高了壓縮比，增強了明圖的偽裝性，減少了運算時間，優化了解密圖像的效果。 -
In the thesis, we select the mel - frequency cepstrum coefficients based on analyzing a lot of parameters of speech signal. mel cepstrum is of better recognition and anti - noise capability. ( 2 ) dynamic time warping, vector quantization, hidden markov model and artificial neural network can be used in speaker recognition
（ 2 ）現有的說話人識別方法有動態時間規整法、矢量量化法、隱馬爾可夫模型和神經網路法等，其中hmm已成為目前最佳的說話人識別處理模型。 -
This method constructs covariance matrix by utilizing data vectors in different range lines and projects phase error vector into noise sub - space which is formed by eigendecomposing the covariance matrix
該方法利用不同距離單元的觀測矢量構造協方差矩陣，然後通過對協方差矩陣特徵分解得到噪聲子空間，最後將相位誤差矢量向噪聲子空間投影來估計多普勒調頻率。 -
The variations vector is then broken down into " profit signal " and " noise " vectors
然後變量矢量被分成「有效信號」矢量和「噪聲」矢量。 -
By augmenting the state vector, linearizing the nonlinear augmented state space model and adopting the equivalent measurement equation, the problem of strong tracking extended kalman filtering of nonlinear systems with additive combined colored noise can be converted into the problem of strong tracking kalman filtering of linear systems with correlated process and measurement noise
通過增廣狀態向量、線性化非線性的增廣狀態空間模型和採用等效量測方程，將加性復合有色噪聲干擾下非線性系統的強跟蹤濾波問題轉化為過程與量測噪聲相關情況下線性系統的強跟蹤卡爾曼濾波問題。 -
( 2 ) the performance of support vector machine ( svm ) for classification was analyzed. it was found that svm for classification is more sensitive to noise than other methods, in particular, the kernel function, its parameter and penalty factor c are the main factor affecting the classification performance of svm
（ 2 ）支持向量機採用了結構風險最小化（ srm ）原則，用於模式分類已表現出優良的性能，但在觀測數據中存在復共線性時，其分類效果就有所降低。 -
It is followed by digital sampling, windowing, noise filtering, endpoint detection, time - domain vector and transform - domain vector
內容涉及語音信號的數字化、加窗處理、預加重濾波、端點檢測，及時域特徵向量和變換域特徵向量。 -
In view of the fact that there is inevitably noise in actual projections, single objective ca n ' t express reconstruction characteristic accurately, so the author pays more attention to other objectives of reconstruction image to make full use of the mutual information among the incomplete projections and the vector mathematic programming is presented to solve the imaging problem
鑒于實際投影中存在不可避免的噪聲，單一目標無法準確描述重建特性，為此需兼顧重建圖像的其它指標，更好地挖掘不完全投影數據之間的相互信息。於此，作者提出採用向量優化法來表述成像問題。 -
But actually, the vector sensor ' s detection gain will be limited by the finite noise counteract for the existence of anisotropic component in the noise field
但實際中，由於噪聲場中存在各向異性成分，噪聲的聲能流只能被有限抵消。 -
Otherwise, the author applies vector - searching algorithm, lines - recognizing algorithm, noise - removing algorithm and some basic operation towards binary images. the system built can get an excellent result after vectorization
此外，還成功運用了矢量跟蹤演算法、直線分類識別方法、噪聲濾除技術以及對二值圖像的一些基本操作。 -
Some theoretical extensions are first made in this paper, with the following concepts, theorems and models presented - partial derivative and high - order partial derivative of waveform polynomial for describing the relation between input transitions and output transitions and redefining circuit sensitization ; the concept of waveform polynomial vector for describing a circuit with multiple inputs and outputs, especially for the unified description of circuit modules ; a sensitization theorem for sequential circuits for the purpose of exact timing ; theorems for transition numbers in circuits used to solve problems on noise, power consumption and etc ; waveform polynomial description for sequential circuits used to give a unified form for the function and timing behavior of a sequtial circuit ; and a data structure of generalized list for the representation and manipulation of waveform polynomial
波形多項式偏導和高階偏導的新概念，用來精確描述輸出跳變與輸入跳變之間的關系，並在本文中用來重新定義了電路的敏化和冒險；波形多項式向量的概念，用於形式化描述實際中的多輸入多輸出的電路，特別是用於統一描述電路模塊的功能及定時行為；時序電路的敏化定理，用於時序電路精確定時分析；波形多項式描述跳變及跳變數的定理，用於噪聲、功耗等問題的描述；時序電路的完整波形多項式描述，用於時序電路功能和定時行為的統一描述；波形多項式的多項式符號表示和運算的模型以及數據結構，用來實現對波形多項式比較有效的描述和運算。 -
In this paper, a feasibility study of the random space - vector pulse width modulation ( pwm ) scheme is reported aiming at the noise reduction by power inverters
針對交流調速裝置中的噪聲問題，論文研究了一種新興的pwm技術- - -隨機空間矢量pwm技術。 -
One - dimension noise subspace - based method always assumes that only the minimum eigenvalue of the signal covariance matrix is the noise eigenvalue, and the corresponding eigenvector is the true noise vector and constructs the one - dimension noise subspace
基於一維噪聲子空間方法始終認定只有信號協方差矩陣的最小特徵值才是噪聲特徵值，其對應的特徵向量才是真正的噪聲向量，並構成一維噪聲子空間。
分享友人