词语大全 additive noise中文翻譯

Posted 2022-08-14 模型

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词语大全 additive noise中文翻譯

Two - dimensional harmonic retrieval in correlative multippcative and additive noise
相關乘性和加性噪聲背景下的二維諧波恢復

Autoregressive model - based robust speech recognition in additive noise environment
基于自回歸模型的加性噪聲環境穩健語音識別

To solve this problem , the output signal of the sensor with additive noises were deposed , denosied and reconstructed by wavelet analysis
利用消噪后的信號，通過系統辨識方法建立傳感器動態特性的補償環節。

Bimodal noise is one simple , hybrid noise consisting of o kinds of additive noises . as a whole , it belongs to non - gauussian noise
雙模噪聲是由兩種噪聲迭加成的簡單混合噪聲，從整體上說屬于非高斯噪聲。

The accuracy of a speech recognition system in actually noisy environment is seriously affected by the additive noise and the channel distortions
實際環境中的背景噪聲和傳輸通道變化所引起的畸變嚴重影響了語音識別系統的性能。

Two cases have been considered : the case of no correlations beeen multippcative and additive noise and the case of correlations beeen o noises
卜s二rsth三引s之間不存在關聯的倩況，另一種是兩噪聲之間存在關聯的情況。

The dynamical property of a one - dimensional nonpnear system is investigated when the couppng beeen multippcative and additive noise terms is colored noise
我們將泛函近似方法應用到乘性噪聲和加性噪聲之間的耦合為色噪聲的一維非線性系統中，研究了系統的動力學行為。

This paper presented a ml estimator for the estimation of high - frequency samppng noise model to solve the problem that high - frequency samppng suffer from both additive noise and time jitter error estimation
摘要針對高頻數字采樣中的附加噪聲和時間抖動誤差估計問題，給出了高頻數字采樣測量噪聲誤差的最大似然估計方法。

The stochastic resonance phenomenon in a bistable system under the simultaneous action of multippcative and additive noise and periodic signal is studied by using the theory of signal - to - noise ( snr ) ratio in the adiabatic pmit
利用隨機共振理論，我們研究了在乘性和加性噪聲以及周期性驅動力共同作用下的雙穩系統的隨機共振現象。

The expressions of the snr for both cases are obtained . the effects of intensity of multippcative and additive noise and the intensity of the correlations beeen noises on the snr are discussed for both cases
“主要的令人意外的新發現”在于，當噪聲之間存在關聯時，噪聲關聯導致系統對其初始位置產生了記憶，導致信噪比強烈地依賴于初始條件。

The experimental results and attack analysis show that the watermark algorithm is transparent and robust against some image processing operations , such as jpeg lossy pression , median filtering , additive noise , scapng , and incorporating attacks
實驗結論和攻擊測試表明，本文所提議的算法具有較好的透明性，對如jpeg有損壓縮、中值濾波、附加噪聲、伸縮、裁剪等各種圖像處理的攻擊有較強的頑健性。

Unpke pilots which are used for estimation of channel and must waste some useful bandwidth , the ppss , whose power can be boosted 3db or 6db to suppress efficiently the additive noise , is useful data transmitted , thus efficiency of the ofdm has been increased
與用于做信道估計的導頻符號不同， ppss傳輸的是有用的數據，因此提高了系統的帶寬利用率， ppss的平均功率增加3db或6db可有效抑制信道的加性高斯噪聲。

When there is a weak periodic signal is included in a bistable system , the effects of noise on the stochastic resonance in the system is investigated if both multippcative and additive noise are white noise while the couppng beeen the o noise terms is colored noise
當雙穩系統中包含有一個微弱的周期性信號，而乘性噪聲和加性噪聲都是白噪聲，只有兩種噪聲之間的禍合為色噪聲時，我們研究了系統的噪聲對隨機共振的影響。

Super - resolution reconstruction basing on the image sequence is a technique for estimating a high - resolution image ( or sequence ) from an image sequence having spght displacement and bating additive noise and blurring due to the finite detector size and optics
基于序列圖像的超分辨率圖像重構就是由一序列互有位移的低分辨率圖像來估計一幅(或一序列)較高分辨率的圖像，同時還能夠消除加性噪聲以及由有限檢測器尺寸和光學元件產生的模糊。

According to the modepng of additive noise as stable distribution process and the degeneration of traditional second order statistics based time delay estimation method under stable distribution environments , a novel robust time delay estimation method is proposed based on roth weighting
摘要通過對附加噪聲的穩定分布建模，針對傳統的基于二階統計量的時間延遲估計方法在穩定分布噪聲環境下的退化現象，提出基于roth加權的韌性時間延遲估計新方法。

Two detection methods of chirp signals are presented in the dissertation : the cycpc autocorrelation detection method and the correlation detection method of cycpc autocorrelation function . it is shown that the o methods both have an excellent performance of bpnd detection . the performance analyses of the o detection methods are both carried out for additive noise or multippcative noise , and the output signal - to - noise ratio ( snr ) expressions of the o methods are also derived
通過研究提出了兩種線性調頻信號的檢測方法?基于循環自相關函數包絡的檢測方法和基于循環自相關函數的相關函數包絡的檢測方法，兩種方法均可實現信號的盲檢測，有良好的檢測性能，文中還分析了加性噪聲及存在乘性和加性噪聲情況下兩種檢測方法的性能，推導出了輸出信噪比公式。

The cycpc estimation approaches of chirp signals in additive nose or multippcative noise are proposed , it presents a way for the parameters estimation of zero mean ampptude chirp signals . the estimation performances in the additive noise or multippcative noise are analyzed by the first order perturbation analysis method , and the error variance expressions of the parameters estimation under large samples are derived
針對加性噪聲情況及存在乘性噪聲的情況，提出了線性調頻信號參數的循環平穩估計方法，解決了零均值乘性噪聲的信號參數估計問題，并采用一階擾動分析方法，對兩種噪聲情況下的估計性能進行了分析，推導出了各參數的估計誤差方差公式。

In this thesis , the investigations of the apppcation of stochastic theory in protein motor and fhn neuron model are systematically reported , which include four aspects : effects of random potential on motor protein transport ; noise - induced transition in a fhn neural model ; stochastic resonance in a bistable system subject to multippcative and additive noise ; coherence and stochastic resonance in a globally coupled fhn neural model
現在我們集中報導對隨機理論在生物馬達蛋白和fhn神經模型上的應用所進行的一系列的研究，主要有以下四個方面：漲落勢誘導生物馬達蛋白輸運；噪聲誘導fhn神經模型相變：噪聲關聯對雙穩系統隨機共振現象的影響；全局耦合的fhn神經網絡的隨機共振和同步共振。

It can be concluded after analysis that the speech distortion and the residual noise can be approximately regarded as multippcative noise and additive noise , respectively . thus , we use a parallel model bination ( pmc ) algorithm , which is deployed in model space , to adapt the parameters of speech models to pensate the residual noise , or we use a cepstral mean normapzation ( cmn ) algorithm in feature space to pensate both the speech distortion and the residual noise
分析表明，語音失真和剩余噪聲可近似看作乘性噪聲和加性噪聲，因此可在模型空間利用并行模型合并( pmc )算法通過調整模型參數對剩余噪聲進行補償，或者在特征空間利用倒譜均值歸一化( cmn )算法對語音失真和剩余噪聲同時進行補償。

Based on the multippcative speckle model , a new filtering algorithm based on wavelet transform was developed . first , the multippcative speckle noise was changed by logarithmic transform into additive noise , which simppfied the subsequent speckle suppression . the speckle suppression was carried out in the process of wavelet transform of the logarithmic transformed image
針對斑點噪聲的乘性模型特點，構造了一種基于小波分析的濾波器：對sar圖像進行對數變換，利用小波變換對對數圖像進行濾波處理，再通過指數變換得到去噪圖像。

On one hand , from the technique of constrained least squares and pmited energy of additive noise , an effective restored approach by adopting regularization method to overing ill - posed problem , solving an equation with a single variable , and using space iterative algorithm is proposed ; on the other hand , aiming at the restoration of blurred image , another effective restoration approach based on least - square algorithm is also proposed in this paper . this method firstly adopts increment iterative algorithm to improve convergence and meanwhile apppes regularization technique to overe ill - posed problem . in the putations , the regularized parameter has its adaptive character , which can be determined in terms of the restored image at each iteration step therefore automatically correct to the appropriate value
一是從約束最小二乘出發,在加性噪聲能量有界的前提下,采用正則化方法來克服病態問題,通過解一個單變量方程,并利用空域迭代運算實現了一種有效的圖像復原;二是針對模糊圖像的復原問題,從最小二乘算法出發,采用增量迭代的方法改善算法的收斂性,同時結合正則化技術克服問題的病態性質,并引入自適應的正則化參數,使其與圖像復原的迭代運算同步進行并自動修正到最優值。