noisy signal 中文意思是什麼
noisy signal
解釋
干擾信號, 噪聲信號-
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。 -
In many fields, such as remote sensing, nuclear medical, computer tomography, geophysical prospecting, groundwater hydrology, global ocean modeling, image processing, tumor detection, nondestructive detection, the objective of applied sciences and engineering is the recovery of the original signal given a collection of noisy observations of the original signal ; we call these problems inverse problem
在遙感技術、核醫療技術、計算機斷層掃描（ ct ）技術、地質勘探、地下水文學、電磁輻射、圖像恢復和重構、腫瘤檢測、非破壞性檢測等科學研究和工程實踐中，經常需要根據一組觀測到的數據來估計目標的真實信號，而觀測到的數據往往是真實信號經模糊、失真和加噪等過程后所得的輸出信號，通常稱這類問題為逆問題。 -
The pseudo - random fsk / psk multi - modulation signal and the partly - matched processing signal remain the information of the target of interest. compared with the other processing methods, the partly - matched procession could depict the target ' s information effectively, and could get a higher output snr under a noisy environment. in this dissertation, the deduction and the simulink on the computer of the average ambiguity function of the pseudo - random fsk / psk multi - modulation signal are presented. also, to the partly - matched procession, analysis in theory and simulink on computer are presented. the partly - matched procession applied in radar field is also discussed
較其它處理方法，非完全匹配處理能有效的突出所觀測目標的信息，以及在加噪情況下，其具有高的輸出信噪比。在論文中，對偽隨機fsk / psk復合調制信號的模糊特性進行了推導與模擬，對非完全匹配處理方法進行了理論上的分析以及計算機上的模擬驗證，討論了其在雷達中的應用。 -
The is offers robustness neceesary for noisy channels. the video coding system discussed in this part can transform the pal video signal to mpeg - 2 ts. it offers an effective method for video signal transmitting
本文研製的mpeg - 2編碼板可以將pal制視頻信號壓縮為mpeg - 2傳輸流，為電視信號的傳輸提供了一種有效的途徑。 -
In signal space, speech enhancement is adopted to effectively suppress the noise and increase the discriminative information embedded in noisy speech signal. however, the speech distortion introduced by enhancement, as well as the residual noise, is a very adverse factor for recognition
在信號空間，利用語音增強有效抑制噪聲，提高輸入信號中的鑒別信息，但增強帶來的語音失真和增強后的剩餘噪聲是對語音識別非常不利的因素。 -
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。 -
The main contents of this thesis include : ( 1 ) summarize and analysis of the theories on vibration transmission through rolling element bearings ( 2 ) based on the threshold setting and signal ’ s statistical approach, a method for solving the problems of denoise was developed ( 3 ) using sparsity and clustering, the method and hypotheses for underdetermined blind source separation was studied ( 4 ) the method based on potential function clustering was given for underdetermined blind source separation of noisy signals based on the assumption that the input distribution is sparse and the mixture procedure is linear, the attenuation matrix and the delay matrix were estimated by clustering. the approach was experimentally illustrated for the case of m = 2. the separation of the signals from bearing test bed proved that the given methods are available and reliable
在需求分析和研究現狀分析的基礎上，本論文針對如下內容進行了重點研究: （ 1 ）以滾動軸承為例，對旋轉機械振動信號的傳輸進行了歸納分析; （ 2 ）通過設定某一門限並研究信號間的統計特性，研究了旋轉機械振動信號的盲源分離過程中噪聲消減策略; （ 3 ）應用稀疏信號分析和聚類分析方法，對盲源分離中欠確定問題的假設條件進行探討並對分離方法進行了分析; （ 4 ）採用基於勢函數聚類分析的方法，研究了欠確定前提下含噪聲測量過程中信號盲源分離方法。 -
There are difficulties in noisy speech recognition, especially low signal - to - noise rations are more difficult. this paper describes briefly six methods for speaker - dependent noisy speech recognition isolated words. they are lpc prediction error method, one - side auto - correlation sequence lpc, acoustic front end processing, canonical correlation based on compensation method, combination of features method and increase of poles method. the experimental results show that all the six techniques can improve effectively noisy speech recognition, and the best noisy speech recognition rate is above 80 % when snr 0db
它們是：線性預測誤差法，單邊自相關線性預測法，語音前端聲學處理法，正則相關分析的譜變換補償方法，特徵綜合法和同模極點增加法。實驗結果表明，這6種方法都有效地提高了噪聲環境中語音識別率，其中較好的方法在強噪聲環境中信噪比為0db的語音識別率達到80 %以上，為信噪比較低的噪聲環境中自動語音識別展現了美好前景。 -
The whole processing procedure consists of three steps, i. e., inputting the noisy ap signal to a low - pass filter, constructing a corresponding square wave according to the output of the low - pass filter and then applying it to the wave forming filter to get noise free ap signal
利用矩形波重建方法，將帶噪聲動作電位信號通過低通濾波器建立相應的矩形波，然後再採用計算機輔助設計法設計一個波形形成數字濾波器，使矩形波通過此濾波器后重建出純凈的細胞動作電位。 -
Donoho and johnstone proposed a new way to denoise the noisy signal and images : “ wavelet shrinkage ”
Donoho和johnstone在1992年提出了「小波收縮」方法。 -
This paper introduced that how resynthesize the neural firing rate by correlogram inversion, how resume the lost information by half wave rectification inversion. and a solution of speech enhancement based on masking properties of human auditory is proposed and implemented, we can not only analyse and resynthesize speech signal, but also analyse and resynthesize speech signal in noisy entironment with the system
介紹了如何從信號的自相關圖譜中逆變換中得到信號的神經發放率函數，怎樣從信號的半波整流逆變換中恢復丟失的信息等等。又根據聽覺生理特點提出了抗噪聲方案，使我們的語音分析重構系統不僅可以對無噪信號進行重構，而且還可以在噪聲環境下的語音信號進行重構。 -
I wasn ' t able to copy my signal report because the band was very noisy
因為這個波段噪音非常大，所以沒有抄上給我的信號報告。 -
To solve this problem, some researches on denoising for the nonstationary and noisy - strong signal are carried out in this paper. combining hilbert - huang transform ( hht ) which has been proved to be more valid in the aspect of time - frequency analysis, with mature wavelet transform ( wt ) threshold theory, an emd - based wavelet threshold denoising algorithm is presented
針對這個問題，本文也開展了對信噪比較低的含噪非平穩信號的去噪研究工作，並將具有比小波變換更強時頻分析能力的希爾伯特?黃變換（ hht ）與成熟的小波閾值理論相結合，提出基於emd的小波閾值去噪演算法。 -
First of all, the emd - based wavelet threshold denoising algorithm is apllied to denoise noisy structural response data to reduce the effect resulting from noise. during the process of the empirical mode decomposition ( emd ), the two boundaries of the response signal are processed with semi - periodical ? semi - symmetrical method. subsequently, hilbert - huang transform ( hht ) is used in identifying structural intrinsic frequency
這套技術用以解決實際工程應用中遇到的在信噪比較低情況下通過結構的響應信號來進行結構損傷識別問題，即先用基於emd的小波閾值去噪演算法對含噪結構響應進行去噪處理，以有效降低噪聲影響（在去噪的emd處理過程中，對信號的邊界採用「半周期半對稱」延括演算法來抑制邊界誤差） ，然後再用希爾伯特?黃變換（ hht ）進行結構的固有頻率識別，最後計算出結構剛度。 -
Generalization regression neural network method for detecting weak harmonic signal under background of noisy chaos
基於噪聲和混沌振子的微弱信號檢測 -
At first, the concept of perfect reconstrution of input signal from the view of filter banks and wavelet transform are introduced, . and then the analysis / synthesis system is analyzed in time domain, third, the kalman filter is explained, finally, a multirate kalman synthesis filter and multirate kalman filterirng algorithm are intruduced to achieve optimal reconstruction of the input signal with the consideraion of the subband noises. simulation results show that the performance improvement of signal reconstruction in noisy filter bank system is remarkble
本文從濾波器組和子波變換兩個方面闡述了分析/綜合系統及其對輸入信號完全重構的概念；研究了考慮子帶噪聲條件下，基於濾波器組的多抽樣率分析/綜合成系統對輸入信號的最佳重構問題。實現了用多抽樣率卡爾曼綜合濾波器取代常規的綜合濾波器達到對輸入信號的最佳重構。 -
Time - frequency analysis and parameter estimation of noisy polynomial phase signal ( pps ) are the general problems in such fields as radar, sonar, communication, biomedical application, seismic signal analysis and so on
噪聲背景中多項式相位信號的時頻分析和參數估計是雷達、聲納、通信、生物醫學、地震信號分析等領域需要解決的共性問題。
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