噪聲預估 的英文怎麼說
中文拼音 [zàoshēngyùgū]
噪聲預估
英文
noise prediction-
But this is not a problem for ship structure which is thin and good ductibility. the basic equation of statistical energy analysis is deduced in this paper, the shipboard noise of 295, ooodwt vlcc is calculated based on sea, the factor effect on the noise of shipboard is discussed and some measurement to reduce the noise level is suggested
根據統計能量分析方法的基本原理，以實船為例進行了船舶機械設備等噪聲聲壓水平的估算和船舶艙室噪聲預示，並對影響船舶艙室噪聲水平的各種因素進行了分析，提出了減小船舶艙室噪聲水平的方法。Then, sage adaptive filtering usually used in kinematic gps navigation and positioning and its shorcoming are analyzed. the weights of measurement residuals and state correction residuals are modified according to the self - correlation property of colored noise and robust estimation. the procedure of weighte d prediction of covariace matrix not only resists the influence of outlying kinematic model errors, but also controls the effects of measurement outliers
然後，分析了目前常用於有色噪聲處理的sage自適應濾波及其在動態gps導航定位應用中的缺陷，並依據有色噪聲的自相關特性和抗差估計調整觀測殘差和狀態改正數的權比，再通過加權預報控制殘留在其中的異常對協方差矩陣自適應估計的影響。This error - based detecting method is improved, that is, predicting the chaotic noise is changed to estimating the chaotic noise. a predicting method is improved to an estimating method to estimate the chaotic noise. then the time used to train the parameters is saved, and no invalid detection will be gotten even if signals come into
4 、改進了誤差檢測方法，即，將預測混沌噪聲改為估計混沌噪聲，並改進了一種非線性預測演算法，將其用於估計混沌噪聲，省去了參數訓練的時間，避免了參數尚未訓練好時就有信號進入背景噪聲中，而使檢測無效的情況。Combination algorithm fully use the advantage of the ukf for small noise and the upf ’ s non - sensitivity to noise, when noise increase, upf can also estimate the missile ’ s states well
聯合演算法充分利用了ukf在噪聲較小時估計效果較好和upf對噪聲不敏感的特性，使得當觀測噪聲突然增大后，利用upf演算法仍能使導彈位置和速度誤差收斂，達到有效預警的目的。Data mining is defined as the nontrivial extraction of implicit, previously unknown, and potentially useful information from data or known as knowledge - discovery in databases ( kdd ). to do this, data mining uses computational techniques from statistics, machine learning and pattern recognition such as discriminate analysis, regression method, mathematical programming, decision tree, k - nearest neighbor, artificial neural network etc. although many positive attempts are done, the development and application of personal credit assessment model in chinese bank industry is still in its infancy
數據挖掘是20世紀90年代後期人工智慧和數據庫領域興起的一種數據處理和知識發現（ kdd ）理論，是從大量的、不完全的、有噪聲的、模糊的和隨機的實際應用數據中，提取隱含在其中的信息和知識的過程。對數據進行分類和預測是數據挖掘的主要功能。數據挖掘用於信用評估的優勢主要在於: （ 1 ）能處理和修正實際數據問題，演算法模型具有自檢The methods of data association and tracking beginning and ending to single and multiple targets tracking in the multi - echo environment is listed. at the end of the thesis, a method is introduced, which is that based on the most closed principle, without the chosen echo, the current forecasting values added yawp based upon the former state values is considered as the target state estimated value. the value is an input of observation equation, the output of the observation equation is considered a chosen echo. and the method is validated in the simulation results
針對多目標跟蹤問題，首先對多目標跟蹤的原理和跟蹤門的形成方法進行了概述，並對多回波環境下單目標跟蹤和多目標跟蹤的常用的數據關聯方法和跟蹤起始、跟蹤終結方法進行了介紹，在本文的後半部分，對多目標的運動狀態進行了模擬研究，提出了一種目標狀態估計方法，該種方法的思想是當前時刻如果目標跟蹤門內沒有所期望的候選回波，首先計算出目標在前一時刻的運動狀態下對當前時刻的預測值，並將該值疊加上系統噪聲作為量測方程輸入值，然後將觀測值作為候選回波對目標進行狀態估計。In chapter 3, we discuss the problem of doa estimation in the presence of spatially nonstationary noise fields. an estimate of the colored noise covariance matrix is firstly given. the received data for parameter estimation is then prewhitened using the estimated noise covariance, hence, overcoming the highly biased estimates. finally, adaptive beamforming with the modified weight is also performed. computer simulations show that the proposed method can completely remedy beam distortion. 3
在第三章討論了一種在環境噪聲為白噪聲而陣元噪聲為空間非平穩情況下的doa估計問題，給出了一種有效的估計陣元噪聲功率的方法，進而利用估計的噪聲協方差矩陣進行預處理而實現色噪聲環境下的doa估計，理論分析和模擬結果均表明了本章提出的方法的有效性。Based on above performances the applications of multi - sensor data fusion in state estimation for maneuvering target is studied systemically. the main work includes : based on the analysis that the extreme value of acceleration presupposed causes influence in the “ current ” statistical model, a modified model is given, which utilizes the functional relationship between maneuvering status and estimation of the neighboring intersample position vector to carry out the self - adaptive of the process noise variance. then combining with the recursive characteristic of kalman filter, an improved self - adaptive filtering algorithm is presented
基於此，本文針對多傳感器數據融合技術在機動目標狀態估計中的應用進行了系統的研究，其主要工作如下: 1 、基於「當前」統計模型中加速度極限值的預先設定對于濾波效果影響的分析，利用目標機動狀況與相鄰采樣時刻間位置估計量變化之間的函數關系實現噪聲方差自適應，進而提出了一種修正的模型，並結合卡爾曼濾波遞推演算法，提出了一種改進的自適應濾波演算法。At the same time, according to the reverse problem of impeller machinery design, focusing on the noise performance, the counter calculation software was developed to estimate the noise of cooling fan to provide the elementary verification of the design effect
同時，根據葉輪機械設計中的反問題的提法，針對發動機軸流冷卻風扇的噪聲性能，編制了反算程序，用於預測估計冷卻風扇的噪聲性能，從而為設計效果的驗證提供初步依據。分享友人