搜索结果: 1-15 共查到“知识库 噪声与震动控制”相关记录348条 . 查询时间(2.343 秒)
合肥工业大学机械工程学院科研方向
合肥工业大学机械工程学院 科研方向 机器人技术 智能再制造 摩擦学
2023/1/5
![](http://www.firstlight.cn/upload/imgfile/20231/7/202317204049284.png)
研究人员用一种鲁棒的并行虚拟传感方法实现反馈有源噪声控制(图)
鲁棒 虚拟传感方法 反馈有源噪声控制
2023/1/7
基于烦躁感知的环境噪声分级识别模型及其在深圳市的应用(二等奖)
烦躁感知 环境噪声分级识别模型 深圳市
2022/6/13
![](http://www.firstlight.cn/upload/imgfile/20231/7/2023172117222.gif)
研究人员提出一种分布式节点特定的LCMV波束形成器(图)
分布式节点 LCMV 波束形成器 无线声传感网络
2023/1/7
![](http://www.firstlight.cn/upload/imgfile/20231/7/202317205948843.png)
基于噪声分类和双自适应阈值判决的语音活动检测方法
语音活动检测 双自适应阈值 噪声分类 特征联合
2019/1/18
为了解决复杂背景噪声环境中语音活动检测(voice activity detection, VAD)命中率较低的问题,提出具有环境意识的VAD算法。针对常用算法中采用单阈值抗噪性差的不足,对语音帧和噪声帧相互转换过程采用不同阈值,并对两个阈值进行自适应更新;为克服单一特征法应对复杂环境的缺陷,提出将统计模型似然比、能量熵特征和平均谐波数量值特征等进行特征联合的方法;引入环境噪声分类的思想,利用支持...
CONSTRUCTION THEORY AND NOISE ANALYSIS METHOD OF GLOBAL CGCS2000 COORDINATE FRAME
CGCS2000 globalization coordinate time series Noise analysis construction of geocentric reference frame Geodetic datum
2018/5/14
The definition, renewal and maintenance of geodetic datum has been international hot issue. In recent years, many countries have been studying and implementing modernization and renewal of local geode...
Regularization for Matrix Completion
Noise low rank matrix computer vision signal processing
2015/8/21
We consider the problem of reconstructing a low rank matrix from noisy observations of a subset of its entries. This task has applications in statistical learning, computer vision, and signal processi...
Turbo codes: the phase transition
Turbo code noise channel disordered spin model the stability threshold
2015/8/21
Turbo codes are a very efficient method for communicating reliably through a noisy channel. There is no theoretical understanding of their effectiveness. In Ref. [1] they are mapped onto a ...
The Noise-Sensitivity Phase Transition in Compressed Sensing
Approximate Message Passing Lasso Basis Pursuit Minimax Risk over Nearly- Black Objects Minimax Risk of Soft Thresholding
2015/8/20
Consider the noisy underdetermined system of linear equations: y = Ax0 + z0, with n N measurement matrix A, n < N, and Gaussian white noise z0 N(0; 2I). Both y and A are known, both x0 and z0 are...
Worst-case capacity of vector Gaussian channels
Gaussian capacity interference noise assuming gaussian convex sets matrix variables
2015/8/11
We study the (Shannon) capacity of Gaussian multiple input multiple output (MIMO) systems when the exact distribution of the interference and/or noise is unknown, but the family the distribution belon...
Moving horizon filter for monotonic trends
Noisy measure the limited state the trend of optimization algorithm mechanical damage the exponential distribution noise
2015/8/11
This paper presents a novel approach for constrained state estimation from noisy measurements. The optimal trending algorithms described in this paper assume that the trended system variables have the...
Robust beamforming via worst-case SINR maximization
Minimum variance beamforming the signal to interference plus noise ratio the parameter estimation error and optimization problems
2015/8/10
Minimum variance beamforming, which uses a weight vector that maximizes the signal to interference plus noise ratio (SINR), is often sensitive to estimation error and uncertainty in the parameters, st...
Relaxed maximum a posteriori fault identification
Fault detection Statistical estimation Convex relaxation Interior-point methods
2015/8/10
We consider the problem of estimating a pattern of faults, represented as a binary vector, from a set of measurements. The measurements can be noise corrupted real values, or quantized versions of noi...