盲信號處理 的英文怎麼說
中文拼音 [mángxìnháochǔlǐ]
盲信號處理
英文
bsblind signal processing-
But the signals mixture problem can be brought on by the drop of adaptive performance caused by using subarray and by overmany radiation sources. so bbs is used to solve the problem. this dissertation focuses on subarray architectures and the algorithms of ica, and proposes a new and more practical subarray architecture and a more suitable algorithm to separate radar signal
同時針對採用子陣法導致自適應性能下降以及現代雷達信號環境多個輻射源等問題引起信號混疊現象,論文採用盲分離來對雷達信號進行分離處理,並針對雷達信號的特點提出一種適用的演算法。Since the echo signals are partly received, this radar system has detected the target adopting the processing mode of blocking echo signal before and after, and the problems of the isolation between transmitter and receiver and blind range are solved
該體制雷達採用前後截斷回波信號處理方式,當接收部分回波信號后就對目標進行檢測,解決了收發隔離和盲距問題。It is especially attractive for the downlinks and suppressing intercell mai. when multiuser detector is adapted in blind mode, it usually adopts eignvalue decomposition or singularvalue decomposition of received sample correlation matrix and tracking alrithgms, which result in high computational complexity. at the same time, approximation computation in tracking alrithgms also result in slow convergence
為實現盲自適應檢測,通常採用對接收信號樣本矩陣進行特徵值分解( evd )或奇異值分解( svd )后進行跟蹤,由此帶來的子空間秩跟蹤使得實現復雜度很高;另一方面,在跟蹤演算法中考慮一些實際情況而作出近似處理,從而引起誤差積累和正交性誤差,導致每次跟蹤開始階段跟蹤速度變慢。And then, on the basis of subspace tracking, dimension estimation, rank reducing and the dynamic condition processing, blind multi - user detection based on reduced - rank subspace is discussed and researched
然後,從信號子空間追蹤、維數估計、降秩及動態處理著手,對基於降秩子空間的盲多用戶檢測進行了較深入地探討和研究。On real - time speech blind signal separation based on time delay estimation and beamforming
基於時延估計波束形成預處理的實時語音盲信號分離研究Blind signal separation is a new technique of signal processing aimed at retrieving a system ' s unknown information from its output only, which can be used in array processing and data analysis
盲信號分離技術是信號處理中用於陣列處理和數據分析的一種新的技術,在源信號和混合過程未知情況下,從混合信號中分離出源信號。Research on the key technologies of blind signal processing
盲信號處理幾個關鍵問題的研究Blind signal processing is a new orientation in the field of signal processing, it also has broad range of application in daily life
盲信號處理技術是最近一段時間興起的一個新的研究領域,它在實際中有著非常廣泛的應用,盲信號源分離是盲信號處理技術的一個研究方向。Firstly, a new joint filterbank precoders and decision feedback equalizers structure is proposed, and the corresponding optimization result based on the maximal mutual information criterion is derived. secondly, the concept of dt canonical model is proposed, which is very suitable for the task of blind signal processing based on the second - order statistical of the observations. thirdly, the methods of blind equalization and identification of the tv dispersive channels are researched systematically based on the proposed dt canonical model, and a subspace blind identification algorithm of the time - invariant channel matrix is developed
本文創新性的成果在於:提出了預編碼-判決反饋聯合均衡系統結構,並從理論推導得出了對應的最大互信息量最優化設計結果;首次提出了時變色散通道的離散正則模型概念,該模型適宜於利用觀察數據的二階統計量進行盲信號處理;基於離散正則模型對時變色散通道進行了系統的盲均衡和盲辨識方法研究,提出了對時不變通道矩陣的子空間盲辨識演算法;針對誤差傳播效應問題,提出了可以消除誤差傳播效應的兩級盲辨識演算法;提出了基於離散正則模型的直接盲均衡演算法;提出了基於特徵恢復思想的神經網路直接自適應盲均衡演算法。We propose the joint filterbank precoders and decision feedback equalizers structure at first, by which the dispersive channel is equivallent into parallel independent flat fading subchannels such that the diversity gain of the receiver is increased. then we adopt the discrete - time ( dt ) canonical model to convert the problem of blind signal processing of tv dispersive channels into processing the time - invariant multi - channels model blindly, and discuss the problem of blind equalization and identification of tv dispersive channels based on this new model
第一種是採用濾波器組聯合均衡方法將色散通道等價為一組獨立的平坦衰落子通道,以提高接收機的分集增益;另外一種是提出採用離散正則模型將時變色散通道的盲信號處理轉化為時不變多通道模型的盲信號處理,並針對該模型對時變色散通道的盲均衡與盲辨識方法進行了詳細討論。3. the traffic sign recognition and digital watermarking based blind source separation technique has been demonstrated on this paper
( 3 )論文對盲信號分離技術在模式識別以及信號處理方面的應用研究進行了探討。Bss have an active functioning impelled on not only the signal processing researching but also the development of neural network ’ s theory
盲信號分離不僅對信號處理的研究而且也對神經網路理論的發展起到積極的推動作用。The independent component analysis ( ica ) is a branch of the blind source separation, which has become an important part in signal processing and data analysis
盲信號分離在信號處理領域中日益顯示出其重要性,而獨立分量分析是其中的重要組成部分。The idea of diversity is emphasized in this thesis in signal processing perspective, and two schedules are proposed to perform it
文章重點從分集處理的角度來討論時變色散通道的盲均衡和盲辨識問題,指出了兩種採用信號處理方法實現這一思想的基本策略。Independent component analysis ( ica ) is a new multi - dimensional signal processing technology developed from blind source separation of late years. some scholars have brought forward a new polarimetric speckle reduction method by using independent component analysis which based on the multi - polarimetric trait of polarimetric sar and the independence between speckle and texture of sar imagery. while the algorithm thinks that there is only one real scene in polarimetric sar source images, so they get only one recovering image in the procedure of image separation and lose polarimetric property
獨立分量分析是近年來由盲源分離技術發展來的一種新的多維數字信號處理技術,通過計算數據的高階統計信息,可以僅從觀測信號中估計出互不相關且盡可能相互統計獨立的被未知因素混合的原始信號的估計信號,從而幫助實現信號的增強和分析。In this paper, the principle of spread sequence communication and all kind of the current multi - user detection techniques and the independent component analysis ( ica ) algorithm are respectively analyzed completely in chapter ii, chapter iii and chapter iv. based on the statistical feature of multi - user signal that the signal of every user ' s and every channel is statistical independent with each other and take the same distribution, the mathematical model of the received multi - user signal is fully researched, then the blind signal detection algorithm is introduced into the multi - user signal detection, two new algorithms of multi - user detection are proposed : multi - user detection based on the delay estimation of downlink using ica in ds - cdma and based on ica post processing matched filter multi - user detection
本文比較全面的從第二章到第四章分別介紹了cdma擴頻通信的原理和現有的各種多用戶檢測技術以及獨立分量分析( ica : independentcomponentanalysis )這種盲源分離演算法,並在此基礎上,從多用戶信號的統計獨立同分佈的統計特徵出發,分析研究了cdma通信中多用戶信號的數學模型,將盲源分離技術應用到多用戶信號檢測當中來,提出了兩種盲多用戶檢測的策略:基於獨立分量分析的下行鏈路延遲估計的多用戶檢測演算法;基於獨立分量分析后處理的匹配濾波多用戶檢測。In the first chapter, the developmental actuality and its trends in the field of fault monitoring and diagnosis on mechanicals are expressed. principles and actuality inside and outside country of noises diagnosis on mechanicals are analyzed. some problems of this method are issued
論文的主要內容如下:第一章論述了機械故障監測與診斷領域的發展現狀及趨勢,分析了機械噪聲診斷技術的原理及其國內外研究現狀、存在的問題和發展趨勢;針對機械噪聲診斷技術存在的問題,在分析國內、外對信號盲處理的研究及應用現狀的基礎上,初步引入信號盲分離概念及模型。A modified synchronization approach by using sliding windows is proposed. the pre - processing for obtaining principal eigenvectors is a smoothing procedure for the dsss signal. the computer simulations show that the approach is more convenience in low snr comparing with other code synchronization methods
3 、提出了一種改進滑動窗的盲同步方法,該方法利用求主特徵向量的過程,對擴頻信號進行平滑降噪預處理,實現了較低信噪比下的碼同步。There are many potential application, especially in wireless communication, medical signal processing, image processing and radar signal processing. in recent years, blind signal separation has been an attractive trend in the area of academia
盲信號分離技術可廣泛應用於無線通訊、醫學信號處理、圖像處理以及雷達信號處理等多個應用領域,已成為信號處理領域的一個研究熱點。Blind source separation ( bss ) is a new signal processing method based on neural network
盲源信號處理是一種基於人工神經網路的新的信號處理方法。分享友人