parameter estimation

基本解釋

The parameter estimation and system identification of nonlinear structures is a subject which serves to obtain and verify mathematical model of nonlinear structures.
非線性結(jié)構(gòu)的參數(shù)估計(jì)和系統(tǒng)識(shí)別是取得和驗(yàn)證非線性結(jié)構(gòu)數(shù)學(xué)模型的一門(mén)學(xué)科。
The operator was applied to simulating parameter estimation of nonlinear system, and the resulted showed its validity and its superiority over a general crossover operator.
通過(guò)應(yīng)用于非線性參數(shù)估計(jì)的仿真計(jì)算，表明了這種雜交算子的有效性及其相對(duì)于普通雜交算子的優(yōu)點(diǎn)。
Motion parameter estimation play an important role in image matching, electric image stabilizing and image mosaic, and the block-matching algorithm is the most used method.
運(yùn)動(dòng)參數(shù)估計(jì)在圖像配準(zhǔn)，電子穩(wěn)像以及圖像拼接中起著很重要的作用，其中塊匹配算法是經(jīng)常使用的一種方法。

parameter optimization estimation 參數(shù)優(yōu)化估計(jì)
parameter interval estimation 參數(shù)不定區(qū)間估計(jì)
Motion Parameter Association Estimation 運(yùn)動(dòng)參數(shù)關(guān)聯(lián)估計(jì)
Parameter Blind Estimation 參數(shù)盲估計(jì)
parameter r estimation 參數(shù)估計(jì)

參數(shù)估計(jì)
The necessary condition for uniqueness of the parameter estimation is given.
文中還給出了參數(shù)估計(jì)惟一性的必要條件。
參量估計(jì)
Signal parameter estimation of PSA means estimating the angles of arrival and the polarization angles simultaneously according to the samples of PSA.
極化敏感陣列信號(hào)參量估計(jì)主要研究利用極化敏感陣列的一系列采樣數(shù)據(jù)對(duì)信號(hào)空間到達(dá)角和極化狀態(tài)角的聯(lián)合估計(jì)問(wèn)題。
參數(shù)識(shí)別
Joint test between the wideband digital channelized receiver and the parameter estimation hardware platform was done successfully.
并且成功進(jìn)行了寬帶數(shù)字信道化接收機(jī)與參數(shù)識(shí)別分機(jī)的聯(lián)合測(cè)試。
參數(shù)估算

參數(shù)估計(jì)
Secondly, the parameter estimation method in MRF is studied.
其次,研究了MRF中的參數(shù)估計(jì)方法。
參數(shù)辨識(shí)
Approaching the time varying parameters by orthogonal polynomials improved the validity of parameter estimation. The direct algorithm avoids recursive solution of Diophantine equation, reduces calculation amount greatly.
利用正交多項(xiàng)式逼近時(shí)變參數(shù),提高了參數(shù)辨識(shí)的有效性;采用直接控制算法,避免了Diophantine方程的遞推求解,大大減小了計(jì)算量;引入PID,減少了調(diào)節(jié)時(shí)間,提高了運(yùn)算速度,特別是大范圍誤差調(diào)節(jié)時(shí),效果更明顯。
參數(shù)估值
Then, according to the shortage of algorithm relying on objective functions, a maximum likelihood method is presented, which is composed of parameter estimation algorithm and alignment algorithm.
接著,根據(jù)基于目標(biāo)函數(shù)算法的缺點(diǎn),提出最大似然度比對(duì)算法,該算法分為兩個(gè)部分:參數(shù)估值算法和比對(duì)算法。
經(jīng)濟(jì)學(xué)
參數(shù)估算

參數(shù)估值
Research in this paper indicates that the genetic algorithm can accomplish the complicated parameter estimation of the stream water quality model perfectly and effectively, and is worthy of being popularized.
研究表明，遺傳算法能夠圓滿、高效地完成較為復(fù)雜的河流水質(zhì)模型的參數(shù)估值，值得在應(yīng)用中加以推廣。
數(shù)學(xué)
參量估計(jì)
參數(shù)估計(jì)