有效信號 的英文怎麼說
中文拼音 [yǒuxiàoxìnháo]
有效信號
英文
effective signal-
The profit signal and noise vectors are orthogonal to each other, so the variation vector is the hypotenuse in a right triangle
有效信號適量和噪聲信號適量相互正交,所以變量矢量是直角三角形的斜邊。This method gets rid of the interferential signal successfully but does not lose useful signal
該方法能有效地去除干擾信號,又不會損失有用信號。With the research development in antenna area, smart antenna, which could dynamically adjust antenna pattern in order to trace useful signals and suppress interference and noise, comes into researchers ’ sight
隨著天線領域研究的進展,一種可以動態調整天線方向圖,有效跟蹤有用信號,抑制干擾和噪聲的天線系統? ?智能天線系統,進入了研究者的視野。Arranged signal activating lock circuit and time - base control circuit in the sound wave receiving circuit to take the initial signal of back wave as the valid one in the cycle, thus to improve the ratio of signal vs. noise and detective precision
在超聲波接收電路中設有信號觸發鎖定電路和時基控制電路。實現以各探頭中最早收到的回波信號為本檢測單元的有效信號,有效提高信噪比和檢測精度; 4Experimental result shows the algorithm has nearly the same edge preserving performance as nonlinear multiwavelet transform, and nearly the same speckle noise suppression performance as filtering
此演算法對原圖像進行多小波變換,然後在不同尺度,不同方向進行自適應閾值處理,模擬結果表明:本演算法能夠有效地抑制了斑點噪聲,又保留有用信號及邊緣信息。So how to select threshold effectively to avoid lose useful signal is problem worth to research. some research is processed here on the problems above as follow : ( 1 ). in exordium the research purpose and means is introduced
因此,在去噪的過程中如何更有效地進行閾值選取,使得噪聲被去除的同時盡可能的避免有用信號的丟失,也是一個值得研究的問題。In order to filter out the noise contained in effective optical signal, a new method using the blazed grating to enlarge the angle difference between noise and effective signal, and getting through the iris to get the effective signal was put forward
摘要為了濾除有效光信號中的光噪聲,本文提出了一種利用光柵的閃耀特性將噪聲和有效信號之間的夾角角度差放大,再通過光闌得到有效光信號的方法。The traditional detection algorithm, based on zero - crossing or energy, will not acquire ideal effect when the signal - to - noise is low or the signal is weaker. therefore, to resolve the real problem in the real environment that all kinds of random noise and speech signal exit together, some new algorithm must be put forward. account for the complexity of real noise, we integrate the wavelet transform and high - order statistics and advance a new algorithm ; the algorithm can effectively separate the speech signal and the non - gauss noise
基於過零率和能量的傳統檢測演算法,在噪聲環境比較復雜的情況下效果很不穩定,尤其是信噪比較低或者語音信號較弱時,檢測效果很不理想,因此,在多種語言和噪聲隨機出現、噪聲和語音強弱不一的實際噪聲環境下,必須利用新的演算法提取有用信號和噪聲信號的有效特徵,才能解決實際的問題。Beside filtering interference signals and extract effective signals, it is a difficult problem to study the separation of multi - signal of sound wave and vibration
在實際測量過程中,除了過濾干擾信號,提取有效信號外,多振動源信號分離是本文研究的一個難點。Telecommunications - telecommunications charge card and billed number screening validation message components
電信.電信計費卡和記帳號碼甄別有效信息內容Finally, interested information such as user name, accounts, sum, operator, date in the cut regions is recognized and stored into database
第四,識別截下區域中的有效信息並記錄入數據庫中。這些有效信息包括:用戶名、賬號、操作金額、操作員、日期等。The variations vector is then broken down into " profit signal " and " noise " vectors
然後變量矢量被分成「有效信號」矢量和「噪聲」矢量。According to signaling theory, dividend is an effective signal for company to transmit its inside information
信號理論認為,股利政策是公司傳遞內部信息的一個有效信號。Based on the difference of maximum modulus evolution between signals and random noises in multi - scale space of wt, the signals from shaking table test are processed for random noise reduction
摘要本文利用小波變換下有效信號有隨機噪聲在多尺度空間中模極大值不同的傳播特性,對地震模擬振動臺試驗測試信號進行去噪處理,取得良好效果。Facing the problem that we always ask ourselves whether the technique and parmeters we use are suitable, we have to consider it in five main processing step, deconvolution, static correction, normal moveout, noise attenuation and migration
根據噪音在處理過程中的不同階段表現屬性不同,處理中採用不同的處理手段或不同的處理參數分階段對噪音進行衰減。以便做到最大限度壓制噪音,而盡可能不損傷有效信號,提高原始資料的信噪比。This can increase efficiently the signal - noise ratio of seismic record, under the general situation, the signal - noise ratio of big scale is small, because low frequency surface wave in big scale is more serious, the correlate of signal is smaller, so weighting stack can press efficiently low frequency surface wave, comparative promote the percentage of the effectual signal in constructing the signal
這樣可以有效地提高重構后地震剖面的信噪比,一般情況下,大尺度的信噪比都較低,因為大尺度內的低頻面波比較嚴重,信號相關性較小,這樣做加權可以有效地壓制低頻面波,相對地提升有效信號在重構信號中的百分比。This paper applies wavelet theory to process data analysis, mostly focusing on signal de - noise and data compression. the main contributions of this thesis are as follows : 1 ) as discussion and experiment of de - noise method for removing white, noise from pulp thickness signal, a method was developed by utilizing the different characters of evolution of the wavelet transform maximum across scale of efficient signal and noise
本文所作的工作如下: 1 )利用小波變換下有效信號和噪聲在多尺度空間中不同的模極大值傳播特性,給出了一種去除紙漿濃度檢測信號中的白噪聲的演算法,編制了相應的程序,作為對紙漿濃度檢測信號去噪方法的初步探討和嘗試。The theory analysis and method principle are presented the characteristics of the two methods are studied by computer numerical simulation. the results show that both the methods are reasonable and feasible. focused on the features and requirements of flutter test data processing, the methods presented here are used to pickup the major information as a pre - processing technique the application scheme is brought out for flutter boundary prediction based on subcritica
根據顫振試驗的原理和觀測信號特點,本文將所提出的兩種時頻域濾波演算法引入到了飛機結構亞臨界響應分析的顫振邊界預測( fbp )研究當中,給出了一種新的顫振邊界預測方案,即通過聯合時頻分析與時頻域濾波提取有效信號再進行模態參數提取與顫振邊界預測。Moreover, it extensive applied the interpret way of contrast of high low frequency sectioned to eliminate the false and retain the true in the project, avoiding drop valid signal result to irrelevant disposal way. maintain use new information, contrast old information, integrated explain to forecast favorable oil and gas concentration zone, to instruct development work of yushulin oilfield
另外,課題中廣泛應用了高低頻剖面對比解釋方法,去偽存真,避免了處理手段不當造成的有效信號丟失,堅持客觀應用新資料、對比老資料,綜合解釋,預測有利的油氣富集區,以指導榆樹林油田的區塊優選和經濟有效開發。When snris below to some extent, the distortion of signal will be so great that the new randomshift invalidates the algorithm, so an improved adaptive centroid estimation algorithmis presented according to signal grouping and the principle of grouping is analyzed. correlation function algorithm is a classical method on shift estimation
由於當信噪比低到一定程度時,有用信號的損失過大,會導致引入新的隨機時移,使演算法完全失效,因此通過將信號分組的方式提出改進的自適應質心估計演算法,並對分組的原則進行研究。分享友人