simple decomposition 中文意思是什麼

simple decomposition 解釋
單分解
  • simple : adj （ pler; plest）1 單純的；簡單的，簡易的；輕便的。2 質仆的，自然的，天真的；樸素的；率直的，...
  • decomposition : n. 1. 分解，分析，溶解，還原（作用）。2. 腐朽，解體。
  1. 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
  2. In this thesis, we follow the idea of the beamlet - domain wave field extrapolation methods to construct localized propagators. through comparative study of signal decomposition efficiency using different representation schemes, we select two groups of basic functions with simple expressions and good localization properties for wave field decomposition, propagation and imaging

    本論文通過對wft 、小波基、小波包，以及相關的框架理論等的分析比較，選擇了兩組形式簡單，且具有適宜於波場外推特性的基本函數集合來進行波場分解、傳播及偏移成像問題的研究。
  3. In order to determine the solution set of the equation, by the means of meet - irreducible element and irredundant finite meet - decomposition, we first obtain the maximal solutions to the simple equation in the case that b has an irredundant finite meet - decomposition, and then consider the relation between the equation and the equation, based on this, we obtain the maximal solutions to the equation in the case that each element of the matrix b has an irredundant finite meet - decomposition and so determine its solution set completely

    為了確定方程的解集，本文利用交既約元與不可縮短的有限交分解等工具，同樣地先求出簡單形式的型矩陣方程的所有極大解，然後討論方程與方程之間的關系，在此基礎上，在b的每個元素均有不可縮短的有限交分解的情況下，求出了方程的所有極大解，從而完全確定了方程的解集
  4. The following algorithms have been proposed and tested in the thesis : 1 frequency selective fading : combine the isomorphism between the input space and the output space and propose a new approach to blind equalization of the channel. compared with conventional methods, the new approach offers lower computational complexity, better performance, and more robust against the over - determination of the system order ; 2 time selective fading : a new approach to the equalization of time selective channel based on the zero - forced equalizer is proposed which is more simple in its structure of algorithm ; 3 time - varying channel : using the instantaneous mean value changes of the output signal to extract the information of channel variations and model it using ar model, kalman filter is then employed to track channel variations, it bears faster ability in tracking the variation of tv channels ; based on the isomorphism between the inputs and the outputs and some of the approaches using in mimo system, a new algorithm of equalization of simo time - varying channel is proposed, which also share the merits of being robust against the over - determination of the system order ; model the time - varying channel using the multi - resolution decomposition wavelets, and then a blind identification method based " on the model is proposed ; at last, a new model for equalization and identification of mimo system is proposed

    主要工作在以下幾個方面： 1 、針對頻率選擇性衰落通道：結合輸入輸出空間同構關系提出一種新的頻率選擇性通道均衡方法，與傳統方法相比，該方法計算量更小，收斂速度更快，性能更優，且對系統階次的過確定表現穩健，具有實際均衡應用價值； 2 、針對時間選擇性衰落通道：提出一種基於迫零均衡的時間選擇性通道均衡方法，演算法結構簡單； 3 、針對時變色散通道：利用瞬態均值曲線提取通道時變信息，對之ar建模，利用卡爾曼濾波器跟蹤時變通道抽頭變化，可以快速跟蹤通道變化；基於輸入輸出空間之間的同構關系以及多輸入多輸出系統的處理方法，提出了新的單輸入多輸出色散時變通道均衡與識別演算法，同樣具有對通道階次過確定保持穩健的優點；結合小波多解析度分析提出一種基於小波模型的通道盲識別演算法；研究時變的多輸入多輸出系統的盲均衡與盲反卷積問題，給出一種時變系統處理模型。
  5. The simple image fusion method, the multiresolution image fusion techniques based on multiscale pyramid decomposition ( mpd ), and the image fusion method based on wavelet transform are studied

    文中研究了簡單的圖像融合方法、基於多尺度塔形分解的多解析度圖像融合方法和基於小波變換的圖像融合方法。
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