residual signal 中文意思是什麼
residual signal
解釋
殘留信號-
Signal - to - residual output - power ratio
信號對剩餘輸出功率比剩餘輸出電平 -
Doing the further research on the division frequency stack on the foundation of study of predecessor, at first the residual moveout correction is done to the seismic record, make the phase axle regularity, doing foundation for the same phase stack ; then carried on division scale processing by wavelet transform ; spectrum whitening is done to each scale, the high and low frequency band need to do prolongs, the middle frequency bands only increase the value of the frequency spectrum ; several kinds of methods that estimate the value of signal - noise ratio has been studied further, and summarize their advantage and disadvantage as well as the scope of application ; the seismic record after spectrum whitening is stacked by weighting with the value of the signal - noise ratio ; then estimate the value of signal - noise ratio which is each scale section after stacking, the scale that the signal - noise ratio is big is assigned big weighting, otherwise, the scale that signal - noise ratio value is small is assigned small weight ing, and carried on weighted reconstruct to each scale section
本文在前人研究的基礎上，在分頻疊加方面做了進一步的研究。首先對地震記錄進行剩餘時差校正，校齊同相軸，為同相疊加做好基礎工作；然後對地震記錄用小波變換的方法進行分尺度處理；對各個尺度分別做譜白化，對于高、低頻段需要做頻帶延拓，中間頻段僅提升頻譜值；對于幾種信噪比定量估計的方法進行了深入的研究，並且總結了它們的優缺點以及適用范圍；對譜白化后的地震記錄用信噪比估計值作為加權系數進行加權疊加；對于各尺度的疊加剖面也進行信噪比估計，對于信噪比大的尺度給予大的加權系數，反之，信噪比值小的尺度給予小的加權系數，對各尺度疊加剖面進行加權重構。 -
In view of characteristics of seismic data of gobi - sand dune areas, this paper, through various data - processing means such as quality control, high - pass filltering, dip angle filltering, field static correction, surface consistency deconvolution, precise velocity analysis, denoising before stack, multiple iterative operation of residual static correction, denoising after stack and modification after shift, has raised the data quality of seismic profiles in low signal - to - noise ratio areas and managed to form the seismic data - processing technique for such complex areas as gobi, foreland and dune
摘要針對戈壁、沙丘地區地震資料的特點，通過對原始資料進行質量控制、高通濾波、傾角濾波、野外靜校正、地表一致性反褶積、精細速度分析、疊前去噪、剩餘靜校正多次迭代、疊後去噪和偏後修飾等處理，提高了低信噪比地區地震剖面的資料質量，摸索出了一套戈壁、山前、沙丘等復雜地區地震資料處理技術。 -
In signal space, speech enhancement is adopted to effectively suppress the noise and increase the discriminative information embedded in noisy speech signal. however, the speech distortion introduced by enhancement, as well as the residual noise, is a very adverse factor for recognition
在信號空間，利用語音增強有效抑制噪聲，提高輸入信號中的鑒別信息，但增強帶來的語音失真和增強后的剩餘噪聲是對語音識別非常不利的因素。 -
Based on the simple understanding of normal seismic processing, this paper has carried out deep research on the problems of deep prospecting in seismic data processing, such as s / n ( signal to noise ratio ), velocity analysis and residual nmo of unsymmetrical hyperbola, stacking and imaging of complex rays and migration arc. until now tens of accomplishments have been achieved
在簡單了解地震資料常規處理的基礎上，本文針對當前深層資料的問題，緊緊圍繞著深層地震數據處理技術研究需要解決的重點問題，即信噪比問題、非對稱雙曲線的速度分析與剩餘動校正時差問題、復雜射線的迭加及偏移成像問題和偏移畫弧問題等，進行了深入的研究工作，目前已完成十多個成果。 -
In this dissertation, the research trends for the problem have been introduced ; the ‘ dim ’ and ‘ point ’ has been strictly defined in mathematics from machine vision and human vision ; the ideal clutter suppression system based on clutter predication and the realization and evaluation of evaluation index has been studied, in succession the clutter suppression technologies have been researched. firstly, the classic nonparametric algorithm has been analyzed in detail and systematically, for it ’ s weakness that it cannot remove the non - stationary clutter ideally, kalman filter algorithm for clutter suppression in 2d image signal has been built. secondly, fast adaptive kalman filter is presented based on fast wide - sense stationary areas partition algorithm : limited combination and division algorithm based on quarti - tree algorithm, new taxis filter route algorithm which can break through the limitation of the necessity of pixel neighborhood of 2d filter and laplace data model with two parameters which is perfectly suitable for the residual image of kalman clutter suppression
首先分析了經典的非參數法，對於四種具有代表性的核，從前述的三個性能評價方面做了分析和對比，指出了其速度快的優點和對非平穩圖像適應性差的弱點，針對非參數法的弱點，重點研究了對非平穩圖像適應良好的卡爾曼雜波抑制技術:建立了非平穩圖像的類自回歸模型，在此基礎上建立了二維卡爾曼濾波基礎的兩個方程:狀態方程和測量方程;建立了非平穩圖像準平穩區域快速劃分演算法:基於四叉樹法的有限分裂合併演算法;二維空間的基於k排序的濾波路線演算法，突破了空域濾波路線上區域相鄰的限制;在這些研究的基礎上實現了快速卡爾曼估計，實驗驗證了該方法相對逐點卡爾曼估計可以提高運算速度三倍左右;雜波抑制結果表明傳統的高斯性檢驗並不適合卡爾曼估計后的殘余圖像，由此建立了殘余圖像的雙參數拉普拉斯模型，實驗表明其可以完好的吻合殘余圖像的概率密度曲線。 -
For multicomponent chirp signals with unbalanced amplitudes, an iterative algorithm combined with the paf is proposed to suppress the error propagation effect and residual signal in the peeling - off procedure. the corresponding time - frequency distribution for unbalanced signals is derived
針對多分量強弱信號，引入基於逐次減小誤差的迭代演算法，導出了能夠減小強弱信號相互影響的核函數設計方法，從而有效抑制誤差傳播和殘余信號。 -
Based on the effective measured stress signal, the residual working life of the vane under current operating conditions was evaluated using nominal stress method, the reliable results could be acquired
基於處理后的有效實測應變信號，運用名義應力法對該工況下的葉片剩餘工作壽命進行了評估計算，獲得了較為可靠的結果。 -
This model is used to generate residual signal by comparing the healthy signal and the signal in the running system. by processing the residual signal, faults from incipient fault to serious fault can be detected effectively
利用這個模型，通過比較無故障信號和系統實際產生的信號，產生一個殘差信號，並對殘差信號進行適當處理，就可以對系統從初始故障到嚴重故障，進行有效地監測。 -
In this scheme, the speech residual signal is synthesized directly using magnitude spectrum and phase track where there are continuous changes for pitch between frames, while the speech residual signal is synthesized using phase intergradations with a burst of the pitch
在該方案中，當幀間的基音周期連續變化時，語音殘差信號由幅度譜和相位軌跡直接合成，而當基音周期發生跳變時，則利用相位過渡過程合成語音殘差信號。
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