噪音信號 的英文怎麼說
中文拼音 [zàoyīnxìnháo]
噪音信號
英文
noise signal-
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。Testing hearing aids with a broad - band noise signal
助聽器的寬帶噪音信號測試The master dissertation introduces passive correlative orientation system and base theory in signal dispose briefly in the first place. the system takes tv sound fm signal from tv satation signal. the power rate of tv station signal to sound signal is ten to one. in the case of submerged by mussy weave and machine ' s hot noise, dispersed target signal is feeble
系統採用電臺的電視伴音調頻信號，其中電臺信號與伴音信號功率之比基本為10 ： 1 ，並且目標散射信號較弱，一般情況下淹沒在雜波和機器熱噪聲之下，採用常規的脈沖檢測方法很難對遠距離的目標進行檢測，而以電臺直達信號作為參考與目標回波信號進行相關檢測；系統中信號的相關處理會產生旁瓣，而強目標的旁瓣會影響附近的弱目標檢測。Because the speech signal is periodicity at sonant which vocal cords surge in low frequency and similarity to white noises at surd, the pitch can be detected in traditional way through the correlation operation without the speech produce model
在人類語音的濁音段，聲帶發生較低頻率的振蕩，語音信號呈明顯的準周期性，而在清音段，語音信號則類似於白噪聲。That is, using a soft thresholding to remove noise components from the wavelet coefficients of the voiced and unvoiced speech in noisy speech respectively in a different way, which is not only removing noise but also is preventing the quality degradation of the unvoiced sounds and enhancing the signal - noise ratio
該方法採用軟限幅函數對濁音和清音信號的小波變換系數作不同的閾值處理，既抑制了噪聲，又減少了語音段信息的損失，提高了信噪比。Annex b introduce a voice activity decision ( vad ) algorithm which class speech signal as voice signal and background noise signal
Annexb提出了一種靜音壓縮演算法（ vad ） ，它將語音信號分為話音信號和背景噪聲信號。The result of experiments show that resynthesized speech signals form the its correlogram by auditory model inversion is nature and robust in noisy environment
實驗結果表明，我們通過聽覺模型反演從信號的自相關圖譜中恢復出的語音信號，具有較好的自然度和良好的噪聲魯棒性。Speech enhancement method based on masking properties of the human auditory system is used to reduce the white noise in the front - end
摘要為了提高噪聲環境下說話人識別系統的識別性能，將基於聽覺掩蔽效應的語音增強技術作為預處理器，對語音信號首先進行降噪處理，提高輸入信號的信噪比。By analyzing and processing bountiful experimental data collected in short time, the curves of temperature variation of fast transient nucleate boiling are then drawn with wavelet analysis theory. also by setting up the mathematical model and applying the temperature variation curves to this mathematical model, heat flux density can be resolved
利用數學方法? ?小波理論成功分離了快速數據採集系統中溫度信號和噪音信號，得到瞬態沸騰的溫度變化曲線；並通過建立數學模型、利用實驗所得的溫度變化曲線，求解出瞬態熱流密度。The statistic of wavelet transform coefficient algorithm can solve the periodic noise, high - energy noise and some non - gauss noise simply and effectively ; bi - spectrum can acquire more information from the original signal than power - spectrum, detect more information except from range and restrain the gauss noise. short - time speech signal can be considered as stationary and with periodic non - gauss signal, so we can make use of bi - spectrum to obtain the speech character and separate the speech and noise and detect morse telegraph signal ; complex number spectrum variance algorithm is put forward based on the deeply observing speech data, it is a new algorithm, experiment show that it is simple, effective
統計演算法在解決周期信號、高能噪聲和高斯信號方面有獨特之處，能簡單有效提取以上噪聲的特徵;雙譜能夠提供比功率譜更多的有用信息，有效地檢測信號幅度之外的其它信息，並能有效抑制高斯噪聲，短時語音信號一般認為是平穩且有一定的周期性的非高斯信號，因而可以利用雙譜來提取語音信號特性並實現信噪分離;復數譜方差演算法是在對語音信號進行深入觀察和分析的基礎上而提出來的一種全新的語音特徵提取方法，此方法簡單而有效的提取了語音、噪聲的特徵以及檢測莫爾斯信號，基於實驗表明，該演算法取得了很好的效果。First, the traditional speech detection method based on short - time energy is discussed, including its principle and implementation. then it is used for the jumping - off point detection of speech signals transmitted by awgn channel. simulation results are provided
包括該方法的原理、實現，並將其應用於加性高斯白噪聲通道干擾下的語音信號起點檢測實驗，給出了實驗的統計結果。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。Transmition velocity relys on the style of encode and modulation essentially during modern data transmition for the quality of using line bandwidth and the immunity of code ties on them tightly. but it is important that the velocity of data transmition reaches its limitation in fact for the interface of environment and cross - talk. so for the improvement of transmition velocity, we must analyze the characteristics of noise signal and the model of line deeply and then take some useful measures to better the immunity of modulation wave
在現代通信的數據傳輸過程中，傳輸速率本質上是由傳輸的編碼方式和調制方式決定的，因為編碼方式和調制方式直接決定了線路頻帶利用率和碼元抗干擾能力的好壞，因而直接決定了傳輸速率；但是在實際應用過程中，數據傳輸速率是不可能達到理想狀況的，因為環境干擾、串音干擾等因素的存在使得線路的頻帶不可能被完全利用起來；因此，必須認真分析線路的噪聲信號的特性以及噪聲線路的模型，以便在編碼方式和調制方式中針對性的做一些改進措施以改善調制波形的抗干擾能力，使得傳輸速率能夠進一步提高。In awgn ( additive white gaussian noise ) channel, we introduce a new single - tone interference suppression scheme in the single - tone interference environment
針對加性白高斯噪聲通道中的發射信號，提出了利用單音信號頻域特性的單音干擾抑制方法。The demand is the power forcing speech coding to progress. traditionally linear prediction ( lpc ) vocoders are very efficient, which can encode speech from 800 to 2400bps, but unfortunately, artifacts such as buzzes, thump, and tonal noise always exist in them
經典的線性預測（ lpc ）聲碼器具有很高的編碼效率，可以極低的碼率（ 800 2400bps ）對語音信號進行編碼，不幸的是它的合成語音聽起來很不自然，常常夾雜著嗡嗡聲，重擊聲或者音調噪聲。Digital filtering technique of processing noise in voice signal
語音信號中噪音干擾的數字濾波技術Spectrum analysis of vehicle noise and speech signal and the application of a digital subsidence filter
汽車噪聲和語音信號的譜分析及陷波器的應用The matching pursuit techniques are applied to enhance speech signal, and a method to determine the threshold of coherent ratio is provided in the enhancement procedure based on matching pursuit. with the method, the noisy signal can be efficiently enhanced in a rather wide range while the statistical property of signal and noise is unknown
運用匹配跟蹤技術處理了語音信號增強問題，給出了匹配跟蹤信號增強過程中相干比閾值的確定方法，實現了在未知信號與噪聲統計特性的情況下，在相當大的范圍內明顯增強信號的目的。At first, this paper reviews the traditional currency crisis theories and the research on the early warning system ; thereby try to search for the crisis root and some important early warning indicator, and then basing on those and the kaminsky ' s early warning system of the currency crisis, i analyze statistically the thailand monthly data from 1992 to 2000, seek the threshold of every early warning indicator, the adjusted noise - signal ratio and the early warning synthesis indicator, forecast the possibility of thailand happening the crisis in the coming 12 month with the month data in 2001, and finally conclude that thailand would not happen the crisis in the coming 12 month
首先本文對傳統貨幣危機理論和近期對貨幣危機預警的研究進行了回顧，從而試圖尋找危機的根源和一些重要的預警指標，在此基礎上，運用kaminsky的貨幣危機早期預警方法? ?信號分析法，對泰國1992 - 2000年年間的月度數據進行了統計分析，求出每個預警指標的閾值、調整后的噪音信號比以及危機預警的綜合指標，進而採用泰國2001年的月度數據對泰國未來12個月進行危機預測，最後得出泰國在未來12個月內不會發生危機。Before and after reading out the signals, you can extract noise existing within the pixels themselves, and then cancel it out by subtracting it at a later stage
在讀取信號之前和之後，你可以提取存在於象素中的噪音信號，然後在後續的過程中通過減去這些噪音信號來達到消除它們的目的。分享友人