estimation theory 中文意思是什麼
estimation theory
解釋
估計理論- estimation : n. 1. 估計，評價。2. 預算，預算額；概算。3. 尊重，尊敬。4. 意見，判斷。5. 【化學】估定；測定。
- theory : n. 1. 理論，學理，原理。2. 學說，論說 （opp. hypothesis）。3. 推測，揣度。4. 〈口語〉見解，意見。
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2. the symbol period estimation theory of acm is researched
2 .研究了時域自相關法碼周期估計原理。 -
3. based on the information fusion estimation theory, a significant conclusion is drawn that the allocation of information cannot change global estimating accuracy, only local estimating accuracy. therefore, information magnitude sharing coefficient is unnecessary to be adaptivcly determined, which rectifies a false standpoint in the literatures [ 108. 129, 131, 140. 141 ]
基於信息融合估計理論，研究指出聯合濾波中信息分享系數取值的不同只能夠影響對應子系統狀態的估計精度，並不能影響系統狀態的估計精度，信息分享系數往往沒有必要進行自適應確定，糾正了文獻[ 108 ， 129 ， 131 ， 140 ， 141 ]中的錯誤觀點。 -
Applied the robust estimation theory, it is made a new improved least square method. combined the normal distribution and the laplace distribution, there is created a new distribution model uber distribution in the paper, it is improved the method of the gross location and parameter estimation and is cleared out efficiently the gross error ' s effect for dam safety monitoring model
應用抗差估計理論，提出一種抗差最小二乘改進法，結合正態分佈和拉普拉斯分佈，建立新的分佈模式? huber分佈，改進了粗差定位和參數估計的方法，有效地消除粗差對監控模型的影響。 -
By the line of cross - cut, the 2 - d fmm ii with multiplicative noises is transformed into the form of 1 - d model, then the proposed algorithm is obtained on the basis of state estimation theory of the 1 - d systems
利用斜割支線法，通過定義新的變量，巧妙地將帶乘性噪聲的2 - dfmm模型轉化為一維帶乘性噪聲的狀態空間模型。 -
Based on the linear unbiased minimum variance estimation theory, an asynchronous fusion algorithm that fused the state vector of linear system with arbitrary correlated noises is developed
摘要基於線性無偏最小方差估計理論，提出了一種任意相關雜訊線性系統非同步狀態向量融合演算法。 -
Asymptotic estimation theory
漸近估計理論 -
This dissertation mainly studies information fusion estimation theory and its application to spacecraft control. the major researching contents of the dissertation are summarized as follows : 1
本論文就多傳感器系統信息融合估計理論及其在航天器控制中的應用進行了深入研究，所作的主要研究工作有以下六個方面： 1 -
3. chip rate estimation theory of dm method is studied
3 .研究了傳統延遲相乘法碼速率估計原理。 -
A new biased estimator so - called ridge type - generalized inverse ( rg1 ) estimator is constructed after summing - up the historical and present condition of biased estimation theory in surveying data processing. the prosperities of rg1 estimator are studied especially by pitman ' s criteria. the other biased estimator so - called partial root root ( prr ) estimator is generated
通過對有偏估計理論在測量數據處理中的應用歷史和現狀進行總結和分析，構造了未知參數的一種新的有偏估計方法? ?嶺型廣義逆估計，對其性質特別是在pitman準則下的若干性質進行了討論；接下來構造了另一種新的有偏估計方法? ?部分根方估計，該估計的最大特點在於它是一種部分壓縮估計。 -
The estimation theory and methods on colored noises in kinematic navigation and positioning are systematically discussed in this dissertation
本文系統地討論了動態導航定位中的有色噪聲估計理論及方法。 -
At first, this paper briefly introduces the background and significance of research on estimation theory of colored noises. the influence function ( if ) ot the colored noises on the kinematic positioning is derived and analysed
首先，簡要地介紹了有色噪聲估計理論的研究背景及意義，分析了有色噪聲的影響函數、變化規律和兩種傳統處理方法的優缺點。 -
The noise estimation theory of the gps / ins integrated navigation system and the error analysis is are systematically discussed in this dissertation. at first the paper briefly introduce the error of the integrated system and the cause of the error, and give an estimation model of the error. in order to solve the precise estimation of the error using artificial neural network, then an artificial neural network model is discussed
本論文首先介紹了gps慣性組合導航系統的誤差和誤差模型，綜述了gps和慣導系統的誤差和誤差來源，給出了這兩種導航系統的誤差方程，討論了導航系統中常用的數據處理方法?卡爾曼濾波，給出卡爾曼濾波的基本方程，深入研究了卡爾曼濾波在組合導航系統數據融合中的應用。 -
Based on the information fusion estimation theory, various information fusion structures and their algorithms are summarized, including centralized, decentralized, fusion mode and all - information mode. various kalman filters in the case of correlative infonnation arc summarized, including those with the correlation of measuring noise and system noise, those with colored noise and those in the case of one filter stimulating another. mathematical simulation results, as shown in figures 4. 3 through 4. 5, testify the validity of solving the problem of one filter stimulating another by using the method of prolonging fusion period
基於信息融合估計理論，研究和總結了多傳感器系統中的各種信息融合結構及其演算法，包括集中式、分散式、融合式和全信息融合方式；研究和總結了各種相關信息情況下的kalman濾波，包括量測噪聲與系統噪聲相關時的kalman濾波、有色噪聲條件下的kalman濾波和濾波激勵濾波條件下的kalman濾波。 -
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。 -
The study of robust state estimation for uncertain multisensor system is an important field of multisensor fusion estimation theory
摘要研究不確定多傳感器系統的魯棒估計問題是多傳感器融合估計理論的一個重要研究方向。 -
In order to improve the measurement precision, based on the parameter estimation theory, a spatial - temporal estimation algorithm for multisensor data fusion is presented
為了提高測量精度，基於參數估計理論，提出一種多傳感器數據時空融合演算法。 -
Robust estimation theory is used for finding the uncertainty information from data column of the grey theory by analyzing and filtering it
針對數據中存在不確定信息的實際情況，利用非統計理論對所研究的數據序列進行分析，對不確定信息中是否含有誤差有一個確切的結論。 -
The followings are the main research content in this dissertation : 1. the carrier estimation theory of cdm and the reason of high difficulty on low snr estimation are analyzed
主要內容如下: 1 .分析了偵察用平方倍頻法載頻估計的原理及其不易實現低信噪比下估計的原因。 -
Probabilistic neural network ( pnn ) is a classification network, which is based on bayesian decision theory and probability function estimation theory
D . f . specht提出的概率神經網路（ probabilisticneuralnetwork ， pnn ）是基於密度函數估計和貝葉斯決策理論而建立的一種分類網路 -
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。
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