噪聲運算 的英文怎麼說
中文拼音 [zàoshēngyùnsuàn]
噪聲運算
英文
noise operation-
Introducing the theory and application of boundary element method on the sound radiation, giving the process of solving vibration noise radiation problem using boundary element analysis software ; presenting the coupling theory and the combination analysis of finite element method and boundary element method, and doing relevant analysis based on close drum shell ; programming the noise data simulation program using the numerical calculation software, simulating the acoustic and pressure data of a key point in the transient response acoustic field of the close drum shell, realizing the audibility of the noise, using the virtual reality tools to simulate the vibration noise of the drum shell ; combining the finite element method and boundary element method to analyze the vibration noise radiation of some gear box, and completing the whole simulation process of the vibration noise of the gear box
綜合介紹了邊界元法在聲輻射問題上的理論及應用；並給出了運用邊界元法分析軟體求解振動聲輻射問題的過程。闡述了有限元法和邊界元法的耦合理論及組合分析方法，並以封閉鼓形薄殼為分析對象進行了相應的分析。利用數字計算軟體編制了噪聲數據模擬程序，並模擬了通過組合方法分析封閉鼓形薄殼瞬態響應聲場而獲得一關鍵點的聲壓數據，實現聲音的可聽化，隨后通過虛擬現實工具實現了該情形下橢球殼振動噪聲的虛擬模擬。This algorithm combines the advantages of barnard, which has good tolerance for the intensity of the illumination and contrast, and the advantages of log, which has good tolerance for the noise
該演算法結合了barnard特徵對光照度和對比度不敏感的優點和log運算元對噪聲處理比較好的優點。3. researching on the edge detection method of surface image. after using the edge detection operator for the preliminary abstracting, a series of extending work, such as grey bivalence 、 thinning 、 noise reduction and compagination have been done
3 .對帶鋼表面圖像的邊緣檢測方法進行了研究及實現，採用邊緣檢測運算元對邊緣初步提取，進行了二值化、細化、去噪聲、連接等一系列后續處理工作，並且較好的判斷了邊緣是否良好的情況。During simulation of kinematic calibration of virtual axis machine tool, indirect method is used for measuring its position and orientation ; meanwhile jacobean matrix regrouping method is used instead of arduous optimization to avoid measurement noise maginification
摘要在對虛擬軸機床進行運動學標定的模擬計算過程中，採用間接測量法對虛擬軸機床的運動進行間接測量，然後通過矩陣重構的方法來解決測量噪聲的干擾問題。Firstly, the complex characteristics of the seal images caused in the process of producing conditions are analyzed. to solve these problems respectively, the circularity clusters and the ostu method are firstly used to realize the shape classification and threshold processing of different seal images. then the image denoise is performed well by scanning beam seed filling and labeling algorithm
論文中首先分析了印鑒圖像由於蓋印條件造成的圖像本身的一些復雜特點，提出了運用圓形度聚類和最大方差比演算法對圖像進行形狀分類和閾值處理，隨后利用掃描線種子填充演算法和貼刪標簽演算法進行噪聲的去除等預處理。All of above presents the data to study the algorithm which will be used to detect the targets against the broadened bragg lines. eigenstucture - based algorithms are used to realize bearing resolution on the basis of synthetically comparing several classical algorithms. first sea echo ’ s bearing prior knowledge is utilized to constitute project operator to constraint the noise subspace estimation with the use of constrained music algorithms, which largely increases the resolution and doa estimated accuracy
為檢測海上目標的方位信息，在綜合分析比較各類演算法的基礎上，本文採用特徵結構類演算法來實現空間方位分辨中的constrainedmusic演算法，此方法充分利用了海浪的方位先驗信息來構造投影運算元約束噪聲子空間的估計，大大提高了目標解析度和估計精度。It is proved by measuring noise of fan room of jcfk, that there are pretty good agreements between estimation and experiments. then, this model is applied for the practical engineering of noise control in fan room. the ways to connection qualitative with quantitative, analysis in theory with policy decision in practice are successfully used and the optimal scheme of noise control is achieved. moreover, the effect of the optimal scheme is estimated. this paper makes considerable headway about not only the research range and content but also the theoretical basis and research method. it has the important practical value
把模型運用於復烤廠風機房噪聲污染治理的實際，採用定性分析與定量分析，理論計算與經驗決策相結合的方法，對風機房車間噪聲控制，隔聲間噪聲控制和傳播途徑噪聲控制三方面系統研究，制定風機房噪聲控制優化方案，並編程預測治理效果。這不僅將噪聲污染監測，評價治理，預測的研究有機地結合起來，拓展了研究范圍和內容，而且研究方法有所創新，對當前工業噪聲優化控制有較強的推廣和應用價值。In order to obtain high resolution of the instrument, the effect of input noise of amplifier must be decreased. hereby, an amplifier circuit based on the chopping theory was developed for it
由於該微摩擦測試儀要求的分辨力很高，而運算放大器本身的輸入噪聲嚴重影響系統的解析度，為此設計完成了基於斬波放大原理的放大電路。( 2 ) based on the review and analysis of typical object detection methods, especially the temporal difference, a moving objects detection algorithm based on three frame difference is proposed. this algorithm employs many new technologies, such as adaptive frame interval, half - pixel global motion estimation and compensation, adaptive change detection and object repair, therefore it is very practical
2 .在總結常用運動目標檢測方法，並詳細討論時間差分法的基礎上，針對實地拍攝的紅外圖像序列，提出了一種基於三幀差分的運動目標檢測演算法，該演算法採用自適應幀間隔、半象素全局運動估計與補償、自適應變化區域檢測、抗噪聲形態學處理和目標修復等一系列新技術，具有很強的實用性。In the hardware implementation of a multi - channel active noise control system, the computational complexity is increased sharply when the number of filter coefficients and channels are increased
摘要在多通道有源噪聲控制系統的硬體實現中，當通道數目增大或濾波器長度較長時，常規的多通道演算法運算量急劇增加，使控制器可能無法實時實現。In image preprocessing, image quality is improved by using mathematical morphology to remove background of the image, making gray - scale transformation to enhance contrast and smoothing processing to filter noise
本文運用形態學運算消除背景、進行灰度變換增強對比度和進行平滑過濾噪聲來完成圖像的預處理。In this paper the train running noise level has been predicted with the theory of point sound source. the sound exposure level of a train set pass, equivalent continuous sound level and maximum sound level of a train set pass has been taken as estimate values, and some kinds of affixation attenuation on the course of noise propagation is considered, then the corresponding visual software has been developed. these make it convenient and precise to predict the noise level
本文從點聲源的理論出發，對列車運行噪聲進行預測計算，採用一列車通過時的單發暴露聲級、時間特性的最大聲壓級和一定時間內的等效聲級等作為噪聲評價量，並考慮了噪聲傳播過程中的各種附加衰減，編制了相應的可視化軟體，使噪聲預測計算方便、準確。Abstract : in this paper vehicle - operating characteristics at a roundabout are discussed, and the vehicle noise composition is analysed. then th e calculating formula of vehicle noise at a roundabout is deduced, which is based on the vehicle noise experimental model at the road sections
文摘:討論了環形交叉口車輛運行特性，對車輛噪聲的各個組成部分進行了分析，推導出基於路段車輛噪聲預測實驗模型的環形交叉口車輛噪聲的經驗計算公式In order to overcome problems arisen from the application of x fluorescence analysis into complex spectrum produced by archaeological ceramic fragments with multi - element, low content and thick ground, we have employed the artificial neural network into the research of x fluorescence archaeology and conducted three kinds of research works. as the first one, we have applied the linear olam network ( optimal linear association memory network ) and the non - linear bp network ( back - propagation network ) respectively to analyze the complex x fluorescence spectrum of archaeological samples, and taken both results of spectrum analysis to compare with each other. the second, the method of pattern recognition of bp network was tentatively used to perform intelligent identification of production places of these archaeological samples
針對科技考古中對大量考古陶片進行產地研究時x熒光分析對多元素、低含量、厚基底考古陶片產生的復雜譜分析的問題，將人工神經網路引入x熒光考古中，進行了三方面的研究工作：一是用線性olam網路（最優線性聯想網路）和非線性bp網路（誤差反傳導網路）分別對考古樣品的x熒光復雜譜進行解譜，並比較二者的解譜效果；二是用bp網路模式識別方法對考古樣品的產地進行智能識別；三是為了提高網路運算的可靠性和減小基體效應及電噪聲的干擾和影響，研究並提出了三種網路學習前的譜數據預處理方法。Firstly, a fourth - orders statistic hypothesis testing in inter - frame difference is used to automatically separate the moving areas from the background in a general video sequence. secondly, change areas are extracted as markers of the corresponding moving object. using the marker, region - growing algorithm can locate the precise boundary of moving object
（ 3 ）基於輪廓跟蹤；首先介紹了提取初始模板方法?基於高次統計的判決演算法，通過選擇合適的背景噪聲閾值，最終得到較好的結果，然後對於後續幀中的邊界提取，提出將灰度圖像所使用的區域生長方法進行改進，即將它們運用到彩色圖像中，通過選擇合適的生長規則，得到較好邊界圖。Mostly, traditional arithmetic of image edge detection distill edge using gradient maximum or zero - crossing which base on gray discontinuousness on edge. they are affected easily by noise
傳統的邊緣檢測運算元大都是基於邊緣的灰度不連續性利用梯度局部最大值或二階導數過零點來檢測邊緣，容易受噪聲干擾。These new morphological operators can resist noise and have good merit, which not only have good location but also keep image detail. experiment proves that these operators can well detect image edge
這些新運算元在使用同一對結構元處理中既具有定位能力又具有細節保留功能；抗噪型運算元能很好的過濾噪聲檢測出圖像的邊緣。The dm642 uses a two - level cache - based architecture, level 1 cache is composed of a 16 - kbit l1p ( level 1 program cache ) and a 16 - kbit l1d ( level 1 data cache ), level 2 cache consists of 256 - kbit memory space that is shared between program and data space
同時，研究了消除欠采樣噪聲演算法，並實現其處理功能。本文提出的系統設計方案，實現了高速、穩定、靈活的視頻採集處理播放平臺，可以高速而穩定的持久運行，達到了設計的要求。How to reduce noise figure of operational amplifier are studied in this paper. through design of a low - noise opa, introduce low - noise design of the input stage in detail. and with the analysis of computer, suitable sizes of the input apparatus are choosed. at last, by simmulation and verification on this opa, the result is satisfied
研究了如何從電路結構上減少運算放大器的噪聲，以一種低噪聲運放為例，著重介紹輸入級設計，並藉助計算機分析選擇合適的輸入器件尺寸，最後通過對運放噪聲的模擬驗證，得到了滿意的結果。By dividing fabric image into many windows with the same size, choosing a window with minimum local entropy as a region of interest, thresholding the region and filtering out noise through opening function of mathematical morphology, calculating the defect shape factors as recognition parameters, a algorithm and method of detection of defects in fabric is studied : which has advantages of high identification, correctness, and fast inspection speed mainly because it can avoid complicated calculation of whole image and global searching when the feature parameters are extracted
摘要將織物圖像分成大小相同的局部窗口，選取局部熵最小的窗口為待研究的感興趣區域，在此區域內分割出疵點圖像並用數學形態學中的開運算濾除噪聲，計算疵點形狀因子等作為識別參數，研究表明此方法因能避免對整幅圖像進行復雜運算，在提取特徵參數時對圖像的全局搜索，具有識別正確率高、檢測速度快等優點。分享友人