smn 中文意思是什麼
smn
解釋
荷蘭輪船公司-
The first kind of algorithm is based on s - box controlled by key, the algorithm distinguishes most of other block ciphers, its visible quality is that its s - box is not regular and fixative, but controlled by block cipher ' s key. the second kind of algorithm is based on smn ( d ) array code, it makes full use of the visible quality of smn ( d ) array code possessing big code distance ( d ). the thesis discusses the two algorithms " reversibility, security and their qualities, the
第一種是基於「 s -盒由密鑰控制」的變結構分組密碼，該演算法區別于其它大部分分組密碼最大的特點是它的s -盒不是固定不變的而是由密鑰控制產生；第二種是基於smn （ d ）陣列編碼的變結構分組密碼，該演算法充分利用了smn （ d ）陣列編碼具有碼距大的特點；文中對這兩個演算法的可逆性、安全性及其性能等進行了探討和分析，分析結果認為這兩個變結構演算法正確、有效且安全。 -
Consequently, it is necessary to study the estimation algorithms for smn under multi - sensor observation and 2 - d smn. on the basis of the two points, further studies of estimation algorithms for smn are made in this dissertation
基於這兩點，本文針對多傳感器觀測下的帶乘性噪聲系統和二維帶乘性噪聲系統，對其最優估計方法進行了研究探討。 -
The previous researches in the estimation theory for smn are almost focused on the case of single sensor observation
以往針對帶乘性噪聲系統最優估計方法的研究大多集中在單傳感器觀測的情形下。 -
Furthermore, in recent years two - dimensional ( 2 - d ) systems can find more and more applications in many fields such as image processing, but all the previous studies in smn considered one - dimensional ( 1 - d ) systems
另外，以往對帶乘性噪聲系統的研究考慮的均是一維系統，而二維系統在圖像處理等許多領域具有重要的應用價值。 -
Signal estimation theory for discrete stochastic systems with multiplicative noises ( smn ) is very important in many applications such as oil seismic exploration, underwater remote targets detection and speech signal processing
帶乘性噪聲系統的最優估計理論在石油地震勘探、水下目標探測、語音處理等諸多領域都有重要的應用價值。 -
The a - fe phase in parent sm - fe alloys can not be inhibited by increasing the sm content. during nitrogenation process the sm - rich phase decomposed into a - fe phase and smn phase, deteriorating the magnetic properties
取得了如下研究結果：單純提高sm - fe合金中的sm含量不能抑制初生的- fe相，而且富sm相會在氮化過程中發生分解，生成- fe相和smn相，惡化了磁體的磁性能。 -
For smn under multi - sensor observation, two kinds of estimation fusion algorithms are proposed in this dissertation. one is conventional estimation fusion algorithm. the other is reversed - time filtering fusion and one - pass deconvolution fusion algorithm
根據融合策略的不同，本文提出了集中式與分散式兩種濾波融合演算法，其中分散式融合演算法又分為帶反饋與不帶反饋兩種實現形式。 -
The main contents of this dissertation are as follows : 1. in this dissertation, the development and status quo of signal estimation for smn is recalled. moreover, data fusion technology for multi - sensor systems and estimation theory of 2 - d systems are introduced simply
本文主要工作如下：第一，本文回顧了帶乘性噪聲系統的最優估計理論的發展和現狀，並簡單介紹了多傳感器數據融合技術及二維系統理論。
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