信噪特徵 的英文怎麼說

中文拼音 [xìnzàotèzhǐ]
信噪特徵 英文
signal-to-noise characteristic
  • 噪 : 動詞1. （蟲或鳥叫） chirp 2. （大聲叫嚷） make noise; make an uproar; clamour
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
  • 特徵 : characteristic; feature; properties; aspect; trait
  1. Eradiate noise recognition obtains feature information of movement under - water target, which is produced by passivity sonar, and then decides its category by referring to a priori knowledge

    本文的研究方法是從目標產生的輻射噪聲中提取出目標的特徵信息，結合已有的先驗知識，對目標的類別做出判斷。
  2. Above all, the system fuse the eradiate noise ' s different sides " feature and offer strong elements for the next process : classifying. it is very important to study the classifier in this dissertation

    其中線譜特徵反映了船舶輻射噪聲的頻域信息，能量特徵綜合了不同頻段內的信息，而分維特徵反映了信號的時域的信息。
  3. The process of feature extraction is to transform the eradiate noise signal to different feature space and extract the feature vectors that reflect the category of the input sample. the extracted features are the input modes to the classifier

    特徵提取的過程是把輸入的船舶輻射噪聲信號變換到不同的特徵空間，提取出反映樣本的類別特性的特徵向量，並把其作為分類器的輸入模式。
  4. 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。
  5. Moreover in speech enhancement, especially in reducing the pulse noise, morphological algorithm has its unique advantage. particularly morphological filter may maintain the preferable accurate of the speech signal in speech waveform, and which produces little impairment to the formant of speech. so the spectrum structure of the speech is retained well, and the quality of the speech will not be reduced

    特別是，在時域波形分析中，形態學濾波增強較小波去噪更好地保持語音信號的細節；在頻域分析中，形態學濾波對語音信號的基音頻率、頻譜斜率、共振峰等語音特徵的影響很小，因而能夠較好的保留語音信號的頻譜結構，使語音品質不致降低。
  6. 6 an algorithm of kurtosis signal - to - noise ratio ( ksnr ) based the mot - radiated noise polyspectrum feature extraction is presented

    6提出了基於峰度信噪比的水下h標輻射噪聲的多譜特徵提取演算法。
  7. Fast algorithms of both discrete and orthonormal wavelet and wavelet packet coefficient are diagrammatized to be introduced. daubechies wavelet is applied to help to discuss the application and test on signal filtering and noise reduction with the principle and threshold implementation ; the basic principle to pickup the fault characteristics is introduced mainly about the relations between the maximum module and signal saltation point and how to characterize the saltation point with lipschitz exponent

    展示了離散正交小波變換的mallat快速演算法和小波包系數分解的快速演算法；重點應用daubeches小波探討了小波變換在信號濾波去噪中的應用和實驗，闡述了其基本原理和通過閾值化處理實現濾波的具體方法；探討了用小波變換進行故障特徵提取的原理，說明了小波變換模極大值和信號突變點之間的關系以及怎樣用李氏指數來表徵突變點的性質。
  8. 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。
  9. The system fulfills following functions : signal de - noising, signals analysis using wavelet and extraction of character parameters ; display analysis result and give out tocsin

    該系統能夠完成如下功能:信號去噪;對數據進行小波分析，提取特徵參數;顯示結果，給出故障警報。
  10. According to the different characteristics between signal and noise on wavelet transform domain, also considering the voiced and unvoiced speech has different features, a modified method of speech denoising which is using a changing threshold at different scales is proposed

    摘要分析了信號和噪聲在小波域的不同特徵表現，並根據語音中濁音和清音的特點，提出了一種改進的多尺度多閾值的小波域語音去噪方法。
  11. In attempt to directly compare the sound response characters of the same bf neurons or different bf neurons and their interactive relation, the double recording microelectrodes were penetrated into two different neurons in iso - frequnency laminas or hetero - frequency laminas. taking advantage of frequency tonotopical arrangement in 1c of bats, it was explored how the neurons integrated different parallel processes of the same sound information. in the case of which, we hoped to explore the relation between the sound response characters of the central auditory neurons and neural modulation in background noise for the further understanding of the mechanism in the central auditory neurons extracting sound signals

    本研究以大棕蝠（ bigbrownbat ， eptesicusfuscus ）為模型，利用ic聲調組構排列成同頻層這一結構特點，突破單電極記錄和檢測神經元的方法，同時推進兩單電極至一個同頻層或兩個同頻層的兩個不同神經元，試圖從細胞水平直接比較兩個具有相同和不同最佳頻率的神經元聲信號的加工處理特徵、以及它們之間的相互關系，以期窺探它們在對同一聲信號處理過程中的整合奧秘，並以此為基礎分析和探討背景噪聲條件下中樞神經元聲反應特徵與神經調制的關系，以期進一步了解中樞聽神經元聲信號提取的機制。
  12. The digital information is easy to process by pc. this paper introduces the stereo matching techniques in msv system, including image pre - processing, feature abstraction, stereo matching and depth information acquiring. in order to obtain images easy to detect objects " edges, images have to processed by the techniques such as guass smoothing and image enhancement

    針對顯微圖像的特點，對圖像進行了高斯平滑和圖像增強處理，有效的抑制了隨機噪聲對圖像處理的影響，提高了物體與背景的對比度，有效的實現了物體與背景的分離，為邊緣檢測特徵提取，立體匹配提供良好的圖像信息。
  13. Research on the feature extraction method of rotating machinery vibration signals

    研究了旋轉機械振動信號的消噪方法和特徵提取方法。
  14. By integrating conventional fourie transformation with the smooth average method of spectrum, the high frequency noise was not only removed, but also the signal was smoothed and the main frequency of the signal was found easily and then was extracted as the coarse features of the signal. on the basis, in order to analyze the detail features of the signal, the signal can be decomposed using the db6 mother wavelet function

    在譜分析方法的傅立葉變換中引入平滑平均法對蜂窩結構材料和纖維增強材料聲-超聲檢測信號進行處理，不僅可以有效地去除信號的高頻噪聲，而且可以平滑信號，突出檢測信號的主頻，實現了對檢測信號「粗信息」特徵的提取；在此基礎上，合理選用db6小波基函數，對信號進行小波分解，對信號的特徵進行進一步的細微分析。
  15. Secondly, the paper researches blind estimation of signals parameters, including the carrier frequency, signal to noise ratio and symbol rate of digital modulations. thirdly, with the combination of parameters from early studies on the decision theory, a set of robust feature parameters are extracted from signal power spectrum and the power spectrum of the second and fourth power of signal. based on these parameters, the proposed scheme is able to recognize 12 types of common used modulations, namely ask 、 2fsk 、 msk 、 4fsk 、 psk 、 qpsk 、 / 4qpsk 、 8psk 、 am 、 dsb 、 ssb 、 fm

    接著，對信號功率譜、平方譜及四次方譜進行研究，針對通信中常用的調制方式，結合前人提出的基於決策理論中的特徵參數，設計了一組對信噪比和信號調制參數不敏感的分類特徵參數，利用上述參數完成了一種基於信號頻域的識別方法，可以對ask 、 2fsk 、 msk 、 4fsk 、 psk 、 qpsk 、 / 4qpsk 、 8psk 、 am 、 dsb 、 ssb和fm這12種常用調制方式進行識別。
  16. A terrain adaptive interferogram filtering method is proposed based on the classical adaptive filtering algorithm. the new method can suppress noise and keep the useful information at dense fringe areas in the same time

    在研究經典濾波方法的基礎上，提出了一種地形適應的自適應干涉sas濾波方法，在抑制噪聲的同時，新方法保持了干涉條紋密集區的信息特徵，具有很好的濾波效果。
  17. First, this paper research and analyze the feature of signal of pulse doppler radar, and the mathematic model of radar is constructed. the several interference methods that narrow - band suppressing interference, range deception interference and velocity deception interference are discussed. and interference ability is evaluated and simulated

    研究和分析脈沖多普勒雷達信號特徵，建立了該種雷達的數學模型，並討論對脈沖多普勒雷達的窄帶噪聲壓制式干擾、距離欺騙干擾、速度欺騙干擾等幾種干擾樣式，並進行干擾性能評估和模擬研究。
  18. The radar targets identification based on feature extraction with wavelet transformation and nearest - distance classer is studied in chapter 3. discrete orthogonal wavelet transformation and wavelet transformation based on beylkin algorithm are applied to the samples of the targets to test their performance. the former has a better antinoise performance and the latter has a better identification rate

    離散正交小波變換中提取的特徵為信號的低頻部分，在特徵提取過程中已實現了消噪，具有較好的抗噪性能;而beylkin演算法利用樣本序列所有圓周移位的小波變換的高頻部分，提取的信號特徵雖具有移不變性，有較好的識別率，但抗噪性能較前者差。
  19. Wavelet transform also has time - frequency orienting ability and realize the abruption of the balanced and unbalanced component in images. this paper, based on particularly expatiating information characters in sar image data, will investigate compression algorithm applying for sar images by analyzing embedded encoding algorithms using wavelet theory. using several standards to evaluate our method and spiht algorithm, it is clear that our method outgoes spiht algorithm

    本文在對sar圖像數據的信息特徵進行了詳細闡述的基礎上，利用小波理論分析近年來比較流行嵌入式壓縮編碼方法，來研究適用於sar圖像的壓縮方法，取得以下研究成果： （ 1 ）考慮到sar圖像的動態范圍比較大，而且sar圖像斑點噪聲模型大部分是乘性噪聲，先對其進行對數變換，既可以縮小數據的動態范圍，也可以把乘性噪聲轉變成加性噪聲模型。
  20. Through the noncoherent integration of great numbers of data, and by using hough transform the features of signals in low snr ( signal - to - noise - ratio ) can be extracted. therefore, the hough transform may play an important role in the automatic track initiation and the processing of images with low snr environment

    通過大量數據的非相干積累，利用hough變換可在低信噪比下提取信號特徵，這在低信噪比自動航跡起始以及低信噪比圖像處理中有重要的應用價值。
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