搜索结果: 1-15 共查到“知识库 噪声与震动控制”相关记录347条 . 查询时间(3.812 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
合肥工业大学机械工程学院科研方向：机器人技术及集成应用；绿色制造与智能再制造；摩擦学与摩擦学设计；现代噪声测量分析技术与低噪声设计；数控技术及智能制造装备；智能装备与核心零部件设计；制造过程智能化关键技术；真空科学技术与装备；复合材料构件先进制造技术；生物质低碳技术与装备。
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
日益严重的噪声污染问题影响着人们的日常工作和生活。有源噪声控制技术能够有效衰减低频噪声，已被广泛应用于有源降噪耳机和舱室降噪等方面。有源头靠是有源噪声控制的一个重要应用，能够抑制误差传声器周围的低频干扰。然而，大多数情况下传声器无法安装在人耳处，因此通常需要用虚拟传感算法进行补偿。
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
深圳噪声监测工作中，发现了生态区域自然声超标问题，给噪声治理造成一定困扰。针对这一问题，基于声景研究成果，哈工大声景项目组开展了噪声源识别研究。在深圳科技创新委、生态环境局项目支持下，完成了涵盖深圳全域、全年时间段的环境声数据录制、采集分析工作。通过对6万多噪声源片段声学特征量统计分析，提炼出44个典型环境噪声进行“烦躁度”主观评价实验，获得了基于烦躁感知的4等级噪声源。进而通过机器学习，建立了噪...
日益严重的噪声污染问题影响着人们的日常工作和生活，有源噪声控制技术能够有效降低低频噪声，已经被广泛应用于有源降噪耳机、汽车和飞机机舱降噪等方面。有源头靠是有源噪声控制的一个重要应用，能够减少误差传声器周围的低频干扰。然而，大多数情况下传声器无法安装在人耳处，且其降噪性能容易受到声学通道响应变化的影响。
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
在由多个传声器节点组成的无线声传感网络（Wireless Acoustic Sensor Networks, WASNs）中，要求每个节点发送它的全部接收信号到融合中心从而计算最优波束形成器的集中式波束形成器，面临能量消耗高和鲁棒性低的缺点，导致了WASNs的寿命变短、语音增强性能下降。
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...