signal decomposition 中文意思是什麼

signal decomposition 解釋
信號分解
  • signal : n 1 信號，暗號；信號器。2 動機，導火線 （for）。3 預兆，徵象。adj 1 暗號的，作信號用的。2 顯著的...
  • decomposition : n. 1. 分解，分析，溶解，還原（作用）。2. 腐朽，解體。
  1. The characteristic of power quality signal ' s deal by wavelet multi - resolution decomposition and time - domain analysis is studied then brings forward combine the tow methods and uses it to filter bed yawp, decomposition and feature extraction. 8 kinds of power quality are classified and characterization of sag is specially classified

    然後研究了小波多解析度分解和時域分析電能質量信號處理的特點，提出了應用兩種方法相結合的方法，對電能質量信號進行去噪、分解，通過大量的計算機模擬工作，對擾動信號進行了特徵提取。
  2. Numerical simulation signal and vibration acceleration signal of a roughing mill main drive speed reduction unit have been decomposed by using empirical mode decomposition algorithm ; each component has been carried on spectral analysis

    摘要運用經驗模式分解演算法對數值模擬信號及某軋鋼廠粗軋機主傳動減速機振動加速度信號進行了分解，從而得到若干個基本模式分量，對每個模式分量進行了頻譜分析。
  3. In the second chapter, wavelet theory, which is the theoretic basis of embedded zero wavelet coding is introduced briefly, including wavelet transform " s local characteristics, multi - resolution analysis, discrete signal ' s fast decomposition and construction, wavelet and filter group

    第二章，對小波零樹編碼演算法的理論基礎? ?小波理論作了簡要的介紹，包括小波變換的時頻局部特性、多解析度分析、離散信號的快速分解與重構以及小波與濾波器組的關系。
  4. ( 4 ) since there is no perfect theoretical guide, the characteristics of orthogonal wavelet, semi - orthogonal wavelet and biorthogonal wavelet in signal decomposition and reconstruction are compared, and the conclusion of the study demonstrates that semi - orthogonal wavelet is a good wavelet for fault diagnosis in tilting control system of tilting train. a new approach is presented for deciding the fault threshold. ( 5 ) a generalized wavelet neural network is put forward by integrating wavelet analysis with neural network

    （ 4 ）針對小波基的選擇缺乏完善理論指導的實際情況，通過對常用的正交、半正交、雙正交小波基提取信號特性的比較，確定出了適合擺式列車傾擺控制系統故障診斷的小波基? ?半正交小波基，並提出了一種新的確定故障檢測閾值的方法，可以快速地檢測出故障發生時刻。
  5. In this thesis, we follow the idea of the beamlet - domain wave field extrapolation methods to construct localized propagators. through comparative study of signal decomposition efficiency using different representation schemes, we select two groups of basic functions with simple expressions and good localization properties for wave field decomposition, propagation and imaging

    本論文通過對wft 、小波基、小波包，以及相關的框架理論等的分析比較，選擇了兩組形式簡單，且具有適宜於波場外推特性的基本函數集合來進行波場分解、傳播及偏移成像問題的研究。
  6. Parallel structure of poly - phase decomposition and parallel mixer is applied in the ddc circuit, it solves the bottleneck in mixing and increases the handle speed. the partition of the tuning channel according to the digital mixing sequence, and the ddc by means of decimating first, the low - pass filtering and mixing realize efficiently the down - conversion of the variable carrier frequency band - pass signal. according to the structure of the ddc and the requirement of the frequency

    短數據快速測頻演算法的具體實現:使用并行流水線的設計方法，提高了系統的數據吞吐率，在100mhz的系統時鐘下，能夠實時處理400mhz ~ 600mhz速率a / d采樣的數據，在64點采樣， 100mhz系統時鐘情況下，初次測頻佔用時間640ns ，以後每次測頻佔用時間縮短到160ns ，實時地提供多相濾波下變頻所需的載頻位置信息，縮短了接收機的調諧時間。
  7. There are mainly two type of algorithms used for spatial spectrum estimation : one is those based on bayesian maximum likelihood method, like the ml ( maximum likelihood ) algorithm, maximum entropy method and etc., the others are based on the spatial decomposition or projection of correlation matrix, this kind of algorithm include vector characterization method, music ( multiple signal classification ) algorithm, projection matrix method, etc. music is a classical spatial spectrum estimation algorithm that has a super high resolution and is widely used today, however, it cannot estimate doa of signals that are correlated

    空間譜估計的演算法大致分兩大類:一是基於極大似然估計和最大后驗概率估計統計理論的演算法，包括:極大似然估計法（ ml ） 、最大熵法等;另一類是基於對協方差矩陣進行子空間分解或投影的演算法，包括:矢量特徵法、多重信號分類法（ music ） 、投影矩陣法等。其中， music法是一種經典的空間譜估計主流演算法，具有超強的分辨性能，但它無法實現對相干信號進行測向分辨。
  8. Filter poly - phase decomposition method is adopted in this dissertation. the partition of the tuning channel according to the digital mixing sequence, and the digital down - conversion by means of decimating first, the low - pass filtering and mixing realize efficiently the down - conversion of the variable carrier frequency band - pass signal

    本文採用濾波器多相分解方法，按數字混頻序列劃分調諧通道，使用先抽取，后低通濾波，再混頻的數字下變頻結構，高效實現了變載頻帶通信號數字下變頻。
  9. This method is the amalgamation of wavelet decomposition, relevance process and average, which can raise the signal - to - noise ratio and improve the accuracy of system

    該方法融合了小波分解、相關過程及累加平均等技術，能有效地提高系統信噪比，保證溫度測量的精度。
  10. The following algorithms have been proposed and tested in the thesis : 1 frequency selective fading : combine the isomorphism between the input space and the output space and propose a new approach to blind equalization of the channel. compared with conventional methods, the new approach offers lower computational complexity, better performance, and more robust against the over - determination of the system order ; 2 time selective fading : a new approach to the equalization of time selective channel based on the zero - forced equalizer is proposed which is more simple in its structure of algorithm ; 3 time - varying channel : using the instantaneous mean value changes of the output signal to extract the information of channel variations and model it using ar model, kalman filter is then employed to track channel variations, it bears faster ability in tracking the variation of tv channels ; based on the isomorphism between the inputs and the outputs and some of the approaches using in mimo system, a new algorithm of equalization of simo time - varying channel is proposed, which also share the merits of being robust against the over - determination of the system order ; model the time - varying channel using the multi - resolution decomposition wavelets, and then a blind identification method based " on the model is proposed ; at last, a new model for equalization and identification of mimo system is proposed

    主要工作在以下幾個方面： 1 、針對頻率選擇性衰落通道：結合輸入輸出空間同構關系提出一種新的頻率選擇性通道均衡方法，與傳統方法相比，該方法計算量更小，收斂速度更快，性能更優，且對系統階次的過確定表現穩健，具有實際均衡應用價值； 2 、針對時間選擇性衰落通道：提出一種基於迫零均衡的時間選擇性通道均衡方法，演算法結構簡單； 3 、針對時變色散通道：利用瞬態均值曲線提取通道時變信息，對之ar建模，利用卡爾曼濾波器跟蹤時變通道抽頭變化，可以快速跟蹤通道變化；基於輸入輸出空間之間的同構關系以及多輸入多輸出系統的處理方法，提出了新的單輸入多輸出色散時變通道均衡與識別演算法，同樣具有對通道階次過確定保持穩健的優點；結合小波多解析度分析提出一種基於小波模型的通道盲識別演算法；研究時變的多輸入多輸出系統的盲均衡與盲反卷積問題，給出一種時變系統處理模型。
  11. The signal is wavelet packets decomposed in this method. by analyzing the new sequences reconstructed on every decomposition note, the fault then can be recognized according to the eigenvectors in each frequency band

    該方法對信號進行小波包分解，通過分析在每個分解節點上重構的新序列，就能根據各頻帶內的特徵向量對壓力變化原因進行識別。
  12. In the second, in allusion to non - stationary the characteristic of the signal, the author introduces to the method that using empirical mode decomposition to analysis the vibration signal so that the signal are made up of some intrinsic mode function, after this process, we can use stochastic subspace identification to identification the mode parameter of the structure and find the same work frequency

    其次，針對氣閥振動信號的非平穩特點，本文採用了經驗模式分解法（ empiricalmodedecomposition ）對振動信號進行分析處理，使之成為若干個基本模式函數imf （ intrinsicmodefunction ）和一個殘余量的線性組合。接著採用隨機子空間參數識別法對各個基本模式函數其進行結構參數識別，同時找出各種狀態的共同工作頻帶。
  13. Weak signal detection and extraction against the background of chaotic noise based on empirical mode decomposition

    基於經驗模態分解的混沌噪聲背景下弱信號檢測與信號提取
  14. The exact design methods of switched - current filters are summarized, such as the director synthesis of z - plane, euler mapping, state variable analysis, matrix decomposition, and signal - flow - graph simulation of the lc and switched capacitor prototypes. at the same time, a modified left decomposition matrix method is proposed to overcome the usual problems of large silicon area, high sensitivity and component spreads by minimizing the input circuits. examples of switched - current low - pass, high - pass and band - pass filters are given to verify the feasibility of these methods

    總結分析了實現高精度開關電流濾波器設計的各種實用方法，包括z域綜合法、歐拉映射法、模擬無源lc網路和開關電容網路的狀態變量法、矩陣分解法和信號流圖轉置法，並對左分解法加以整理改進，提出一種更為簡潔的設計結構，通過減化輸入電路克服一般電路中存在的佔用矽片面積大、靈敏度高等問題。
  15. Ieee signal processing magazine, 16 : 70 - 91. 18 shekarforoush h, berthod m, zerubia j. subpixel imageregistration by estimating the polyphase decomposition of cross powerspectrum

    更為重要的是，這種新方法不僅可以進行亞像素級別的精確配準，而且可以在一定程度上補償虹膜的非線性收縮運動。
  16. Therefore, research on improving the image resolution of sar and isar continuously has been a hot as well important topic. time series echo signal can be decomposed to imfs ( intrinsic mode function ) by emd ( empirical mode decomposition ) algorithm, which is distributed following frequency

    經驗模態分解（ emd : empiricalmodedecomposition ）方法能夠把時間序列信號分解成有限數目的本徵模態函數（ imf : instrinsicmodefunction ） ，分解結果按頻率高低分佈。
  17. We also use the method of multiple - level decomposition to get what we want of the signal, and do some compare about the seismic response of tank to this signal and the original signal

    應用小波分析對地震信號進行多層分解，提取我們想要得地震波數據進行儲罐地震響應分析，得出這種方法是可行的。
  18. Super resolution pitch detection based on band - partitioning spectral entropy and signal decomposition in dct domain

    分帶譜熵與信號分解的高精度基音檢測演算法
  19. In this paper, the theory of wavelet transformation in signal noise reduction is introduced, together with the algorithm of signal decomposition and reconstruction

    摘要介紹採用小波變換進行信號降噪的原理；利用小波分解和重構函數對乳機主傳動軸應力和扭矩信號進行降噪處理。
  20. 4 ) a sparse matrix based on multi - resolution analysis for signal decomposition was introduced. a compression method for arbitrarily long data on chemical process was developed then. the relative error of decompression data is still acceptably small enough and the compression ratio is large enough when the method was applied to the compression decompression manipulation of historical data on chemical process

    浙江大學博士學位論文4 ）利用小波的多解析度分析特點，推出了一個用於信號多解析度分解的稀疏矩陣，在此基礎上給出了一種可對任意長度數據進行壓縮的方法，並對化工過程的歷史數據進行數據壓縮和還原，壓縮后的解壓縮數據仍保持較小的相對誤差，並得到了較大的壓縮比。
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