噪声谱估计,noise spectrum estimation
1)noise spectrum estimation噪声谱估计
1.A fast adaptive method fornoise spectrum estimation is proposed in this paper.提出了一种快速自适应的噪声谱估计方法。
2.In this algorithm,anoise spectrum estimation approach by minima controlled recursive averaging is utilized firstly,thus no voice activity detection is needed here,secondly,the occurrence possibility of "musical noise" is reduced by making use of a recursively calculated over-subtraction factor based on sub-band signal-to-noise ratio.该算法首先利用了一种由最小值控制的递归平均的噪声谱估计算法,因而无需语音端点检测,其次利用一种通过递归计算得到的基于子带信噪比的过减因子,减小了产生"音乐噪声"的可能性。
英文短句/例句
1.An Improved Noise Spectral Estimation Algorithm Based on the Weighted Minimum Statistics基于加权最小统计的噪声谱估计改进算法
2.Noise Estimation Algorithm Based on Speech Frame Detection and Subband Spectral Tracking基于语音帧检测和子带谱跟踪的噪声估计算法
3.Spectrum Estimation Of Colored Noise And Its Application In The Radar System有色噪声的谱估计及其在雷达中的应用
4.Speech Enhancement:Using Burg-Based A Priori SNR Estimator to Eliminate Musical Noise Phenomenon语音增强：使用burg谱先验信噪比估计消除“音乐噪声”
5.Research of Noise-signal PSE Based on Two Algorithms for Statistical Signal Processing;基于两种统计信号处理算法的噪声信号谱估计研究
6.Random Noise Influence on Spectrum Correcting Methods and Exactly Estimate Small Damping of a Structure;随机噪声对频谱校正精度的影响和结构小阻尼的精确估计
7.Optimal Estimation of Measurement Noise for Singular Systems with Multiplicative Noise带乘性噪声广义系统的观测噪声最优估计算法
8.The Algorithm on Processor Noise Estimate with Colored Measurement Noise有色测量噪声下的输入白噪声估计算法
9.Far-end loop noise– using the estimated crosstalker profile, an estimate of the loop noise present at the far end can be made.远端环路噪声－用估计的串扰属性，就能估计远端环路的噪声。
10.Study of Measurement Noise and State Fusion Estimation Algorithms for Multi-Channel System with Multiplicative Noises;多通道带乘性噪声系统的观测噪声估计及状态融合估计算法研究
11.A Bayesian-NSCT Image Denoising Arithmetic Based on Layered Noise Estimation基于分层噪声估计的Bayesian-NSCT图像去噪算法
12.Experimental Evaluation on Methods of the Hurst Parameter Estimation Using Fractional Gaussian Noise;分形高斯噪声Hurst参数估计的实验评价
13.Cross Esprit Methods Estimating The Parameters of Closesinusoids in Colored Noise;色噪声背景下正弦参量估计的互ESPRIT法
14.Image Noise Estimation Based on Block Neighborhood Relevance基于块内邻域相关度的图像噪声估计
15.Simplification of finite memorial online estimation for measurement noise量测噪声有限记忆在线估计简化算法
16.MIMO-OFDM channel estimation method based on adaptive noise canceller基于自适应噪声抵消的MIMO-OFDM信道估计
17.Multi-path Channel Estimation in Strong Impulse Noise Environment强脉冲噪声环境下的多径衰信道估计
18.Noise estimation for Cramer-Rao Bound analysis of multi-scale matching多分辨率匹配CRB分析中噪声估计方法
相关短句/例句
Noise Power Spectrum Estimation噪声功率谱估计
3)noise estimation噪声估计
1.Speech enhancement withnoise estimation in bark domain;一种基于巴克域噪声估计的语音增强算法
2.During thenoise estimation,the estimation of its spectrum is updated by tracking the speech-absent frames.噪声估计过程中通过跟踪带噪语音帧来更新噪声估计。
3.After capturing theneighborhoods of discontinuity in the image and acquiring their spatial features based onnoise estimation,adaptive optimal.它首先通过噪声估计捕捉图象中可能存在边界的邻域，然后获取邻域中有关边界的空间参数，由此选择最佳微分滤波算子对相应邻域进行滤波，以获取边界点。
4)Noise estimate噪声估计
1.The method can track eigenvalue minima on each eigenvector without any distinction between the speech activity and the speech pause,thus updating the noise estimate throughout the entire signal.针对传统子空间方法中,采用语音活动检测(Voice activity detection,VAD)估计噪声的缺陷,提出了一种基于子空间域的最小统计噪声估计算法。
2.When the statistics of noise are changing or signal-noise-ratio(SNR)is low,the noise estimated value by voice activity detection is not exact.结合语音存在概率对带噪语音协方差矩阵在每个特征向量上的特征值递归平滑得到噪声估计,可以在每一帧内更新噪声特征值。
5)white noise estimation白噪声估计
1.By applyingwhite noise estimation theory in Krein space,a sufficient and necessary condition on the existence of an H∞ fault estimator was derived,and a solution was obtained in terms of matrix Riccati equation.首先将H∞故障估计问题转化为二次型问题,引入相应的Krein空间系统,然后应用Krein空间白噪声估计理论,得到了问题可解的充要条件,并通过矩阵Riccati方程设计H∞故障估计器。
2.Based on Kalman filtering andwhite noise estimation theory, reduced-order Wiener state estimator for a canonical form of descriptor discrete- time stochastic linear systems is proposed by applying modern time series analysis approach.应用现代时间序列分析方法,基于Kalman滤波和白噪声估计理论,对于广义离散随机线性系统的一种典范型,提出降阶Wiener状态估值器,可统一处理滤波、平滑和预报问题,并且能减少计算负担,便于实时应用。
6)noise estimator噪声估计器
延伸阅读
参数谱估计量参数谱估计量spectral estimator, parametric参数谱估计量[印ectrai es七n.tor，稗r~tric;eneKTpa-肠n朋0”eHKan叩aMeTP“，ecKa，」一个平稳随机过程(statfonary stochastic Process)的谱密度〔spectml density)f(劝对应于f(只)的某一确定参数模型(即在此假设下，函数f(劝属于一由有限个参数描述的谱密度的特定族)时的估计量.在求参数谱估计量时，观测数据仅用来计算模型的未知参数.于是估计谱密度的问题就化为估计这些参数的统计问题.实际中应用最广的参数谱估计量是最大嫡谱估计量(一一entropys详ctral estimator)，它相应于假定函数【f(劝〕一’是一固定阶数的三角多项式的平方.应用问题中常见的更一般的参数谱估计类是混合自回归滑动平均过程(献ed autoregressivemo-访ng一average Process)模型，即假定f(劝是两个固定阶数的三角多项式的平方之商(见【1]一【3」).
