奇異值 的英文怎麼說
中文拼音 [jīyìzhí]
奇異值
英文
singular values-
Aiming at five kinds of targets from geneva lake which are rock, sand, pebble, grit and sullage, the features we extracted based on the cwt time - frequency matrix are singular values, some parameters of histogram and invariant moment
針對萊蒙湖底的巖石、沙、卵石、砂礫、淤泥等五類目標，文中所提取的特徵主要有時頻矩陣的奇異值、直方圖的有關參數以及不變矩等三類特徵。The identification rate of the former could be above 90 %, whereas the later is below 80 %. for three kinds of targets involving sand, grit and sullage, the feature of singular values excels that of invariant moment, the identification of the former could be to 92 %, whereas the later is 84 %. analyzing the features this dissertation extracts, we can find that the features of rock and sullage are more similar, so do pebble and grit, and the features of sand are obviously distinguished
分類結果發現，對于以上五類目標，利用直方圖有關參數作為分類特徵比奇異值特徵有效，前者效果可達90以上，而後者低於80 ；對于沙、砂礫、淤泥三類目標而言，奇異值特徵比不變矩特徵更為有效，前者效果可達92以上，而後者為84 ；從本文中抽取的特徵如直方圖的參數以及奇異值來看，巖石與淤泥的特徵比較接近，而卵石與砂礫的特徵比較接近，沙的特徵則與其他四類有明顯區別。Digital image watermarking algorithm based on dwt and svd
基於小波變換和奇異值分解的數字水印演算法Watermarking algorithm for digital image based on dct and svd
一種基於離散餘弦變換和奇異值分解的數字水印演算法General total least squares problem ; svd decomposition ; singular values ; singular vectors
廣義完全最小二乘問題奇異值分解奇異值奇異向量In this paper, the main research works are as follows : 1 ) survey and analysis previous work in auv navigation and summarize : as the cumulate error, the dead - reckoning and inertial navigation systems ca n ' t be used without other modified system ; the acoustic navigation system is used only in small range, and is very expensive. 2 ) two important approaches in geophysical navigation techniques are summarized, one is terrain contour based navigation, this approach is investigated keystone today ; the other is image based navigation, due to no perfect image sensors and image seabed map, this approach has seldom been practised. 3 ) two important terrain contour based navigation algorithms has been applied to auv, one is match algorithm - based terrain contour match ( tercom ) ; the other is kalman filter - based sandia inertia terrain - aided navigation ( sitan )
主要研究內容包括：一、總結分析了當前水下導航的常用方法和不足之處，指出基於航位推算的導航方法，存在著最大的問題就是導航誤差的積累問題，如果沒有修正系統，這種方法很難滿足使用要求；其次指出基於聲學的導航方法，造價昂貴，導航范圍有限，難以滿足自主水下航行器大范圍導航的需求；二、總結了當前水下地形輔助導航的主要技術路線，一是基於地形高程的匹配方法，這是當前研究的重點；二是基於地形圖像的匹配方法，由於缺乏良好的圖像傳感器，和可用的海底圖像地圖，目前這種方法還有待研究發展；三、將兩種地形高程匹配的常用方法應用到自主水下航行器上：以相關演算法為前提的地形輪廓匹配（ tercom ）方法和以卡爾曼濾波為基礎的桑迪亞慣性地形輔助導航（ sitan ）方法，前者演算法簡單可靠，但是導航精度不高，後者雖然精度比較高，但存在著演算法較為復雜、有可能發散和出現奇異值等問題。The first algorithm is low precise but simple and credible, the second is high precise but complex and incredible. 4 ) developed four kinds of methods aimed to improve precision and credibility of navigation system. the first is parallel sandia inertia terrain - aided navigation ( psitan ) ; the second is tercom + sitan, it can restrain two important disadvantages of sitan ; the third is particle filter - based terrain - aided navigation ( pftan ), the particle filter can reduce the error of navigation ; the last is tercom + pftan, where tercom is looked as monitor to ensure the credibility of navigation system
採用并行sitan方法來提高導航精度，並克服奇異值問題；提出了tercom + sitan方法，綜合利用兩者的優點，在保持sitan導航精度的前提下，有效地克服了sitan的兩個缺點；提出了一種基於連續蒙特卡洛濾波（常被稱為particlefilter ）的地形匹配演算法（ pftan ） ，有效地克服了利用sitan時由於地形隨機線性化帶來的誤差，使導航精度有較大的提高；提出了tercom作為監視器的地形輔助導航思想，並將其應用到連續蒙特卡洛方法上，較大地增加了系統的可靠性和精度。The results are as follows : based on the nonlinear least square optimization technique and singular value decomposition method, the back - analysis method for estimating material properties is established
以非線性最小二乘的優化原理為基礎，並結合奇異值分解，開發了基於非線性最小二乘的路面模量反演演算法。The singular value bode diagram is introduced to analyzes the characteristic of dynamics. those are the good foundations of the design of the control system
然後利用奇異值bode圖分析了用戶星的動力學特性，為控制系統設計打下了良好的基礎。By using the singular - value - decomposition method, a little program has been developed to get the self - equilibrium stress mode of several typical cable truss structures
本文從pellegrino提出的奇異值分解法出發，利用自行開發的程序，求解了幾種典型的大跨度空腹索桁結構的自應力模態。Discussion of the data compression method based on singular value decomposition
基於奇異值分解變換的數據壓縮方法探討This method can reflect local signal feature and well perform in the experiments. we also present an integrated electromyographic signal ( emg ) pattern recognition scheme. the application of an artificial neural network ( ann ) technique together with a feature extraction technique, for the classification of emg signals is described
利用高階譜技術提取肌電信號的特徵信息，然後利用奇異值或者其它方法對二維特徵矩陣進行優化，將優化之後的一維特徵向量輸入神經網路分類器進行模式識別，這種方法能夠初步識別不同模式的上肢運動。3 wang l, healey g. using zernike moments for the illumination andgeometry invariant classification of multispectral texture. ieeetrans. image processing
三維紋理的光照不變性識別通過構建zernike矩不變因子矩陣，然後利用奇異值分解方法來計算區分因子解決。The advent of the internet and the wide availability ofcomputers, scanners and printers make digital data acquisition, exchange and transmission a simple task. however, making digital data accessible to others through networks also creates opportunities for malicious parties to make salable copies of copyrighted content without permission of the content owner. digital watermarking is likely to be a potential solution to this problem. digital watermarking has been proposed as a solution to the problem of copyright protection of multimedia documents in networked environments. it makes possible to embed a watermark ( such as identification data, serials number, text or image etc. ) to multimedia documents allowing copyright protection, secret communication, document authentication and so on. in this paper, we present a new digital image watermarking method based on svd ( singular value decomposition ), and then give some theoretical analysis about the algorithm. extensive experimental results show that this method is much more robust than other methods presented before
隨著計算機和網路技術的飛速發展，數字圖像、音頻和視頻產品愈來愈需要一種有效的版權保護方法，另外通信系統在網路環境下的信息安全問題也日益顯露出來.數字圖像水印技術為上述問題提供了一個潛在的解決方案.所謂水印技術就是將數字、序列號、文字、圖像標志等版權信息嵌入到多媒體數據中，以起到版權保護、秘密通信、數據文件的真偽鑒別和產品標志等作用.本文提出了一種新的基於奇異值分解的數字水印演算法並且對該方法的理論基礎給出分析.實驗結果表明這種方法要比目前提出的流行演算法魯棒The classic difference scheme of euler is employed to solve the forward problem, and the truncated singular value decomposition is used to solve the ill - conditioned system of algebraic equation
用古典歐拉差分格式求解正問題，用截斷奇異值分解法求解病態方程組。Based on the equilibrium equation, the states of self - stress and the modes of inextensional mechanisms are solved by the singular value decomposition method. and the equilibrium equation can be solved by the generalized inverse method. the force density method is proposed
在建立空間桿件體系平衡方程的基礎上，採用廣義逆方法求解各種情況下的平衡方程，採用奇異值分解方法求解索桿的機構位移模態和自應力模態，並推導了力密度方法的基本公式。Relative key concept and technique of this method was described in detail in this paper, such as the decomposition of balance matrix, the modes of self - stress, the modes of inextensional mechanisms, the analysis model of optimization under linear constrained condition, the integration of constrained matrix
文中對桁架理論的奇異值分解法、自應力模態、機構位移模態、有約束線性優化數學模型、約束矩陣集成等關鍵概念和技術進行了詳細的推導說明。The cable - strut tensile structures are the self - stress equilibrium systems composed by tensional cables and struts. in this paper, the basic concept of the structures was described. the analysis methods of the structural characteristics ( statically and kinematically determinate or indeterminate ) and the geometrical stability were presented. it is indicated that the cable - strut tensile structures are in stable equilibrium with first - order infinitesimal mechanisms. the ranks of equilibrium matrix were calculated by employing the singular value decomposition, and the independent modes of inextensional mechanisms and the states of self - stress were also obtained in the same way. this paper contains some typical examples which illustrate all of the main points of the work
索桿張力結構是指由張力索和壓桿組成的、具有預應力自平衡的新穎結構體系.本文詳細闡述這種結構的基本概念和結構特徵，討論結構靜動定體系特性和幾何穩定性判定分析方法，指出索桿張力結構應具有一階無窮小機構的幾何穩定體系.文中採用奇異值分解方法計算結構平衡矩陣的秩，並計算獨立機構位移模態和自應力模態.最後，對幾種典型的索桿張力結構進行了算例分析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
為實現盲自適應檢測，通常採用對接收信號樣本矩陣進行特徵值分解（ evd ）或奇異值分解（ svd ）后進行跟蹤，由此帶來的子空間秩跟蹤使得實現復雜度很高；另一方面，在跟蹤演算法中考慮一些實際情況而作出近似處理，從而引起誤差積累和正交性誤差，導致每次跟蹤開始階段跟蹤速度變慢。As we know, there exist some defects in solving normal equation system. in order to overcome the shortcomings, the singular - value decomposition method and its applications in direct solving the ill - conditioning observation equation are studied
最後針對法方程解算方法存在的缺點，主要研究了矩陣的奇異值分解技術在直接解算病態觀測方程中的應用。分享友人