白噪聲信號 的英文怎麼說
中文拼音 [báizàoshēngxìnháo]
白噪聲信號
英文
white noise signal-
Through the processing method basing on wavelets, implementing the removing noise about section gauss noise to colure full tv signal, we resolve the theory and practice problems in the processing of weak signal detection
摘要通過基於小波分析的處理方法,實現對彩色全電視信號一段被高斯白噪聲干擾的降噪,解決微弱信號檢測過程中遇到的理論和實踐問題。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。A practical method of eliminating the white noise of partial discharge with wavelet
用小波剔除局放信號中白噪聲的一種實用方法In order to study the effect of weak noise on the sound signal extraction of mouse ( mus musculus km ) inferior collicular ( ic ) neurons from environment, we examined the change in frequency tuning of neuron induced by a weak noise relative to 5 db below minimum threshold ( remt - 5 db ) of tone. 12 healthy adult mice ( 20 - 25 g, b. wt. )
本實驗旨在探討弱噪聲對小鼠( musmusculuskm )中腦下丘( inferiorcolliculusic )神經元聲信號提取的影響及其神經機制,我們選用相當于純音閾下5db的白噪聲( whitenoise ) ,比較加入噪聲前後神經元頻率調諧曲線的變化和注射-氨基丁酸( - aminobutyricacid , gaba )能受體拮抗劑荷包牡丹堿( bicuculline , bic )后對該變化的影響。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。Dithering, which adds white noise to the input analog signals, may be used to reduce quantization noise
在輸入模擬信號中加入白噪聲,即抖動,可以降低量化噪聲。On the basis of extensive reading and research of theory of the wavelet, it is presented a practical method based on odd theory of wavelet analysis to remove the white noises from transient fault current traveling waves of high voltage transmission line via multi - size analysis of wavelet
本文在廣泛閱讀和深入研究小波理論的基礎上,論文提出了一種基於小波分析的奇異性理論對通過小波多尺度變換的高壓輸電線路故障電流暫態行波信號進行白噪聲濾除的實用方法。The problems of carrier frequency offset estimation under the condition of the agwn channel, frequency flat - fading channel and frequency selective - fading channel are studied in detail respectively
本文仔細研究了在高斯白噪聲通道下、頻率平坦衰落通道下和頻率選擇性衰落通道下高精度估計信號載頻偏差的問題,並對相應演算法提出了一些改進辦法。When sampling period is very low or close to ideal case for signal detection in additive gaussian white noise ( agwn ), the detection circuit with matched filter is optimal
摘要在加性高斯白噪聲信號檢測中,在采樣周期極小或接近理想的情況下,連有匹配濾波器的檢測電路是最佳的。Some valuable conclusions are summarized by theoretical analysis and simulation experiments : from the side of signal processing, pulse jamming can be deleted by the method of time - domain sliding window accumulation and can be restored by interpolative prediction. ; gauss white nose can be attenuated while jamming disperse point - target by the method of time - frequency analysis in time - frequency domain. ; radio frequency noise jamming can be deleted by the method of average range frequency spectrum and notching in frequency domain
通過大量的理論分析和模擬實驗,得到了一批具有一定價值的結論:從信號處理的角度出發,對于脈沖式干擾,能夠運用時域滑動窗口積累的方法去掉,並且通過預測插值得到較好的恢復;對于高斯白噪聲干擾,在時頻變換域內應用時頻分析方法可減小其對分散點目標的干擾;對于射頻噪聲,通過平均距離頻頻法和頻域陷波的方法可以去掉;從改變合成孔徑雷達系統角度出發,類似雙基地雷達能夠避免各種干擾,對發射信號進行調幅,調相以及改變調頻斜率都是較好的抗干擾方法。This paper applies wavelet theory to process data analysis, mostly focusing on signal de - noise and data compression. the main contributions of this thesis are as follows : 1 ) as discussion and experiment of de - noise method for removing white, noise from pulp thickness signal, a method was developed by utilizing the different characters of evolution of the wavelet transform maximum across scale of efficient signal and noise
本文所作的工作如下: 1 )利用小波變換下有效信號和噪聲在多尺度空間中不同的模極大值傳播特性,給出了一種去除紙漿濃度檢測信號中的白噪聲的演算法,編制了相應的程序,作為對紙漿濃度檢測信號去噪方法的初步探討和嘗試。The self - tuning white noise wiener estimators and information fusion self - tuning white noise wiener estimators are presented, and self - tuning wiener filter and wiener deconvolution filters for signals are also presented
提出自校正白噪聲wiener估值器和信息融合自校正白噪聲wiener估值器,以及信號自校正wiener濾波器和wiener反卷積濾波器。In vibration test, the signal is always along with noise. if the noise belongs to white noise, fourier transform is very suit to identify and process it, after then remove it. but when there exists low energy impact signal, traditional band pass filter remove noise and the precise position of impact signal is blured
對于白噪聲,由於它是穩定信號,所以也可以使用fourier變換定位,以便在合適的頻段進行提取。但是對于低能量突變瞬態信號,在信噪比比較低的情況下,由於帶通濾波的平滑作用,瞬態信號的位置信息也變得很模糊了。It also studies the influencing factors including sampling frequency, pd waveform, decline time, time intervals between pd pulses, mother wavelet, center frequency of interference, entropy threshold value and snr. in addition, it applies wavelet packet method ( wpm ) for non - stationary signal de - noising in on - line pd monitoring and analyzes the processing results under different pd waveform, sampling frequency and noise level. firstly, the curve of pd
基於小波包變換的非平穩信號消噪演算法( wpm )已較為成熟,本文將其應用於局部放電在線監測,通過研究其對不同局放波形、采樣率、噪聲水平下的處理效果,首次提出了理想白噪聲條件下提取局部放電信號的曲線,分析了各種因素對該演算法下信號失真的影響。Abstract : all three types of transmultiplexer are explained from the view of filter banks. addtionally, an optimal algorithm for the analysis filter banks is proposed under the environment of additive white gauss noise ( awgn ). the analysis filter banks derived from the algorithm can match the spectrum characteristics of the input siganls
文摘:從濾波器組的角度出發,對多路復用通信方式進行了解釋,同時給出了高斯加性白噪聲情況下分析濾波器組的最優求解方法,通過該方法得到的分析濾波器組能夠較好地跟蹤輸入信號的譜特性。White noise acting as inspirit signal, the experiment data is collected. utilizing these data and error back propagating identification method, different neuron and input - output delay are selected. by comparing approximation ability and generalization ability, the neural networks model in position mode and velocity mode is identified
並以模擬白噪聲為激勵信號,收集了數據;利用實際收集的數據,採用誤差反傳的辨識方法,選擇不同神經元及輸入輸出延時量的模型,通過比較網路的逼近能力和泛化能力,辨識得到了位置和速度兩種工作模式下的方位通道的神經網路模型。This method can also be used in other signal processing field to estimate white gaussian noise
該方法還可以用於其它信號處理領域高斯白噪聲的估計。In the presence of additive white gaussian noise, an adaptive wavelet - based de - noising algorithm for speech enhancement applications is proposed
針對加性高斯白噪聲的情況,提出一種自適應小波降噪演算法,用於語音信號的增強。The white gaussian noise was successfully separated from noise signal in low - field pulse nmr system and its parameters were estimated by using this method
採用該方法從實際低場脈沖核磁共振系統噪聲信號中分離出高斯白噪聲並對其進行了參數估計。In the point of - information theory ; - the - baseband binary pulse amplitude modulated ( pam ) signal transmission, via turning the nonlinear receiver ' s parameters, is studied over an additive white gaussian noise ( awgn ) channel. it is demonstrated that the channel capacity of binary communication systems, for a given signal added noise, can be maximized by optimal designed receivers. this new form of sr is referred to as psr in a broad sense
本文研究並設計了含有雙穩態隨機共振系統作為一個接收裝置的基帶數字通信系統,在加性高斯白噪聲通道中,通過研究這個非線性接收器的性能,發現了數字信號傳輸中存在的參數調節隨機共振現象?通道容量隨著系統響應速度的增加具有一個共振峰值,並對這種非線性現象發生的基本機理進行了解釋。分享友人