警惕室内环境新杀手--电磁辐射污染

电磁波是一种物质存在形式，从古至今它就存在于我们周围．比如：阳光，闪电，被加热物体散发出来的热能等等．阳光，波长在100nm-760nm，是我们视觉系统感知这个世界的信号基础，是万物生长的能量来源；是地球生态圈不可缺少的组成部分．     

普通话三合元音音节最小时间感知阈及其声学特性

本研究的实验材料取自中国社会科学院语言研究所语音数据库．库中存有15个男青的语音材料，共有15×15=225个三合元音音节．本研究的主要目的是从普通话三合元音入手，在对15个说话人的语音材料统计的基础上，通过对最小时间感知阈Tlim的测量与研究，从声学和感知的角度，给出三合元音必不可少的信息，指出多余信息．实验结果表明，TIim内的共振峰变化情况可分为两类．一是动态特性，它的表现是：（a）△F1＞90％，△F2约50％；（b）Tlim内至少包括F1，F3两个拐点中的一个；（C）Tlim内包括F2变化最剧烈的部分．这四点对四个三合元音是一致的．第二类是边界条件，Tlim受到位置和大小两方面的限制，证明其边界共振峰频率十分重要．     

标志位频谱感知方法研究

文章提出了一种新的标志位频谱感知方法,主要由数据采集和频谱感知两部分组成.前者主要基于标准的压缩感知技术,研究了一种标志位数据采集方法,仅保留测量数据的标志位信息,从而减少了测量数据的存储量.后者基于一致恢复原理和共轭梯度算法来构造频谱感知算法.仿真结果表明,标志位频谱感知方法可以在降低数据采集量及存储量的同时完美获取原始信号的频谱信息.该方法可以应用于无线通信、电子对抗、智能吸波结构以及感知无线电的前端频谱测量设计阶段中. 关键词： 频谱感知 标志位压缩感知 智能吸波结构     

一种基于选择性测量的自适应压缩感知方法

针对低信噪比条件下现有压缩感知系统重构性能严重恶化的问题,提出了一种基于选择性测量的自适应压缩感知结构.首先推导并分析了经过压缩测量的噪声的统计特性及其对重构性能的影响;然后基于输出能量最小化准则,设计了一种压缩域投影滤波联合噪声检测的自适应感知器,感知获得噪声子空间的位置信息;进一步利用该信息构造选择性压缩测量矩阵,智能选择测量信号,同时"屏蔽"噪声分量,极大提高了压缩测量值的信噪比.仿真结果表明,相对于现有压缩感知结构,选择性测量的压缩感知结构明显改善了含噪稀疏信号的重构性能,可更好地应用于吸波材料的前端特性分析、认知无线电的频谱感知等领域.     

士兵可穿戴下肢外骨骼机器人多元感知方法研究

下肢外骨骼机器人是一种可穿戴且融合了多种机器人技术的复杂人-机系统。它将人类的智慧与机器人强壮的能力有效地结合起来,最大限度地提高人体的机动力和耐力,这为提升单兵作战系统的能力创造了条件。鉴于下肢外骨骼机器人在作战、后勤保障时可能遇到的复杂地形、多变随机的任务等,仅通过基于既定的典型步态规划程序驱动执行已知的特定动作,难以保证人机间的耦合性和动作的高随意性切换。为此,模拟并提炼出士兵常见的六种下肢动作作为后续研究,然后分析了下肢外骨骼机器人的感知控制原理,并提出了基于脑电预判感知、肌电精确感知和光纤实时校正的多信息融合的感知方法,强调将人的智能参与到机器人控制中,以期推进士兵可穿戴下肢外骨骼机器人的实用化。     

基于听觉感知的语音稀疏表示及压缩感知*

本文针对语音信号稀疏表示及压缩感知问题,将听觉感知引入稀疏系数筛选过程,用掩蔽阈值筛选重要系数,以得到更符合听觉感受的语音稀疏表示。通过对一帧浊音信号分别采用掩蔽阈值和能量阈值方法进行系数筛选对比实验,结果表明掩蔽阈值法具有更好的稀疏表示效果。为验证听觉感知对语音压缩感知性能的影响,与能量阈值法对照对测试语音进行压缩感知观测和重构,通过压缩比、信噪比、主观平均意见分等主客观指标评价其性能,结果表明,掩蔽阈值法可有效地提高压缩比且保证重构语音具有较高的主观听觉质量。     

基于改进的稀疏度自适应匹配追踪算法的宽带压缩频谱感知

针对在实际宽带压缩频谱感知中难以预先获知宽带频谱稀疏度的问题,提出一种改进的稀疏度自适应匹配追踪(modified sparsity adaptive matching pursuit, MSAMP)算法,该算法在支撑集选择过程中对稀疏度进行了预估计。结合序贯压缩检测技术,给出了一种基于该算法的多认知用户合作场景下的宽带压缩频谱感知方法,理论分析和实验仿真结果表明,该方法可在频谱稀疏度先验知识缺少的情况下,有效提高宽带频谱感知性能。     

面向低信噪比的自适应压缩感知方法

在压缩感知工程应用中, 信号往往被噪声和干扰所影响, 常规的压缩感知方法难以达到理想的重构效果, 特别是低信噪比应用场景中, 稀疏重构往往会失效. 分析了压缩感知中噪声对重构性能的影响, 从理论上解释了压缩感知中的噪声折叠原理, 并在此基础上提出了一种基于方向性测量的自适应压缩感知方案. 该方案通过后端信号处理系统估计出噪声的相关信息并反馈至压缩感知前端, 前端根据反馈的噪声信息调整测量矩阵, 从而改变感知矩阵的方向, 自适应地感知稀疏谱, 从而有效地抑制信号噪声. 仿真实验表明, 所提的自适应压缩感知方法对稀疏信号重构性能有较大的提升.     

结合导航回波与压缩感知进行运动伪影矫正

在一定幅度范围内,导航回波可有效追踪刚体运动,用于矫正k空间数据,从而降低运动伪影对图像质量的影响．然而导航回波技术无法很好地矫正大幅度运动以及非刚体运动导致的图像伪影,运动时刻采集到的k空间数据只能舍弃．压缩感知通过非线性规划法,对欠采样数据进行重建,能恢复出原始信号．该文采用伪随机的方式进行数据采集,结合导航回波技术,用压缩感知对未受运动影响的数据进行图像重建,从而减少运动伪影对图像的干扰．该研究为运动伪影的矫正提供了一种新思路．     

穿戴式光纤光栅指套仿生触压感知性能研究EI北大核心CSCD

针对灵巧机器手的仿生触压感知功能,以光纤布拉格光栅作为信息传输和感知载体设计了可穿戴的触压感知指套。分别对指套的三种触压状态进行研究,选择触压位置1为垂直指尖,触压位置2为倾斜15°指尖,触压位置3为倾斜30°指腹。触压感知特性分析和实验研究表明,在0~10 N的触压力范围内,该感知指套具有较好的灵敏度和线性度,在位置1、位置2、位置3的平均灵敏度分别为24.119 6 pm/N、10.338 3 pm/N、-1.580 7 pm/N,线性度都在99%以上,该指套能分辨出手指不同触压位置以及加载力(载荷)的大小。为进一步验证指套仿生触压感知性能,进行硬度辨别感知实验,提出了标准触压波深比作为硬度感知的量化表征参数。该传感指套可以感知出四种硬度硅胶,具有很好的重复性,重复性误差分别为3.82%、0.97%、0.51%、0.29%,为灵巧机器手触压感知的深入研究提供参考。     

稳态和动态虚拟听觉重放对近场距离感知的影响*

虚拟听觉重放是研究距离感知的一种重要工具,它可分为传统的稳态虚拟听觉重放和动态虚拟听觉重放。然而,稳态虚拟听觉重放经常会产生头中定位而影响距离感知的判断,从而影响最终的实验结果。过去的实验大多采用稳态虚拟听觉重放,因此其结论也存在较大的争议性结论。本文对比研究稳态和动态的虚拟听觉重放对绝对距离感知效果的影响。实验采用非个性化HRTF进行双耳合成,将分布在水平面0.20 m至1.00 m的七个距离、0°至180°的七个方位角下的信号通过耳机进行虚拟重放。心理声学实验结果表明,在稳态虚拟听觉重放条件下,受试者不同程度地报告了存在头中定位。而动态虚拟听觉重放系统能够利用动态因素,从而产生头外化的听觉感知。统计分析表明动态虚拟听觉重放下的距离感知效果与稳态重放存在明显的差异。由于动态虚拟重放更接近真实声源的感知效果,应选用这种方法作为实验工具。同时,在实际的空间声应用中,也应该采用动态虚拟听觉重放产生不同的距离感知。     

Dynamical models for state-vector reduction: do they ensure that measurements have outcomes?

Some recent criticisms of a proposed dynamical reduction theory are considered and are proved to be not cogent. By considering the visual perception process, it is made plausible that, at least at the perceptive level, the conditions required by the above-mentioned theory for dynamical reduction to occur are verified. This does not imply the attribution of a specific role to the act of conscious perception in the reduction process.     

基于视觉感知的光谱评估尺度

光谱颜色复现和色度精度是评价光谱重建算法准确的基础。简单而直观的评价指标对颜色复现控制是必不可少。该指标需要同时表征复现颜色的光谱差和色度差。在研究光谱匹配评估的方法基础上,提出基于颜色视觉感知的三种光谱评估指标,通过加权人眼视觉匹配函数,实现颜色光谱差与色度的评估。通过孟塞尔颜色系统的光谱数据,该论文分析与验证三种视觉加权的评估指标的有效性。通过孟塞尔颜色系统数据,这些指标在CIELab均匀色空间中分布均匀而稳定,从而证明加权算法的评估指标是既表征到颜色感知又反映出颜色的光谱相似度。实证结果表明,加权的指标可以实现同时表征实际人眼的颜色感知和颜色光谱差异。基于人眼视觉感知的评估指标解决了颜色的原始光谱和重建光谱的光谱匹配精度的定量评价问题。所提出评价指标通过一个简单而直观的数值实现对复现颜色光谱与色度评估。     

Dietary Nutritional Information Autonomous Perception Method Based on Machine Vision in Smart Homes

In order to automatically perceive the user’s dietary nutritional information in the smart home environment, this paper proposes a dietary nutritional information autonomous perception method based on machine vision in smart homes. Firstly, we proposed a food-recognition algorithm based on YOLOv5 to monitor the user’s dietary intake using the social robot. Secondly, in order to obtain the nutritional composition of the user’s dietary intake, we calibrated the weight of food ingredients and designed the method for the calculation of food nutritional composition; then, we proposed a dietary nutritional information autonomous perception method based on machine vision (DNPM) that supports the quantitative analysis of nutritional composition. Finally, the proposed algorithm was tested on the self-expanded dataset CFNet-34 based on the Chinese food dataset ChineseFoodNet. The test results show that the average recognition accuracy of the food-recognition algorithm based on YOLOv5 is 89.7%, showing good accuracy and robustness. According to the performance test results of the dietary nutritional information autonomous perception system in smart homes, the average nutritional composition perception accuracy of the system was 90.1%, the response time was less than 6 ms, and the speed was higher than 18 fps, showing excellent robustness and nutritional composition perception performance.     

Computational models of music perception and cognition II: Domain-specific music processing

In Part I [Purwins H, Herrera P, Grachten M, Hazan A, Marxer R, Serra X. Computational models of music perception and cognition I: The perceptual and cognitive processing chain. Physics of Life Reviews 2008, in press, doi:10.1016/j.plrev.2008.03.004], we addressed the study of cognitive processes that underlie auditory perception of music, and their neural correlates. The aim of the present paper is to summarize empirical findings from music cognition research that are relevant to three prominent music theoretic domains: rhythm, melody, and tonality. Attention is paid to how cognitive processes like category formation, stimulus grouping, and expectation can account for the music theoretic key concepts in these domains, such as beat, meter, voice, consonance. We give an overview of computational models that have been proposed in the literature for a variety of music processing tasks related to rhythm, melody, and tonality. Although the present state-of-the-art in computational modeling of music cognition definitely provides valuable resources for testing specific hypotheses and theories, we observe the need for models that integrate the various aspects of music perception and cognition into a single framework. Such models should be able to account for aspects that until now have only rarely been addressed in computational models of music cognition, like the active nature of perception and the development of cognitive capacities from infancy to adulthood.     

混响感知的听觉心理

综述了中国传媒大学传播声学研究所近年来在混响的主观感知机理上的研究工作和进展,涉及混响感的语意调查与分析,音乐听闻的混响偏爱度实验,混响感的差别阈限,混响感的因素分析,以及混响处理与音乐情感之间的相互影响等研究结果。对混响感知的研究对进一步探究在有界空间中主观听感的生理心理机制是十分有启发的。     

Bioinspired tactile perception platform with information encryption function

Mimicking tactile perception is critical to the development of advanced interactive neuromorphic platforms. Inspired by cutaneous perceptual functions, a bionic tactile perceptual platform is proposed. PDMS-based tactile sensors act as bionic skin touch receptors. Flexible indium tin oxide neuromorphic transistors fabricated with a single-step mask processing act as artificial synapses. Thus, the tactile perceptual platform possesses the ability of information processing. Interestingly, the flexible tactile perception platform can find applications in information encryption and decryption. With adoption of cipher, signal transmitted by the perception platform is encrypted. Thus, the security of information transmission is effectively improved. The flexible tactile perceptual platform would have potentials in cognitive wearable devices, advanced human-machine interaction system, and intelligent bionic robots.     

A novel evaluation metric based on visual perception for moving target detection algorithm

Traditional performance evaluation index for moving target detection algorithm, whose each index’s emphasis is different when it is used to evaluate the performance of the moving target detection algorithm, is inconvenient for people to make an evaluation of the performance of algorithm comprehensively and objectively. Particularly, when the detection results of different algorithms have the same number of the foreground point and the background point, the algorithm’s each traditional index is the same, and we can’t use the traditional index to compare the performance of the moving target detection algorithms, which is the disadvantage of traditional evaluation index that takes pixel as a unit when calculating the index. To solve this problem, combining with the feature of human’s visual perception system, this paper presents a new evaluation index-Visual Fluctuation (VF) based on the principle of image block to evaluate the performance of moving target detection algorithm. Experiments showed that the new evaluation index based on the visual perception makes up for the deficiency of traditional one, and the calculation results are not only in accordance with visual perception of human, but also evaluate the performance of the moving target detection algorithm more objectively.     

Interaction between auditory and visual perceptions on distance estimations in a virtual environment

Navigation in virtual environments relies on an accurate spatial rendering. A virtual object is localized according to its position in the environment, which is usually defined by the following three coordinates: azimuth, elevation and distance. Even though several studies investigated the perception of auditory and visual cues in azimuth and elevation, little has been made on the distance dimension. This study aims at investigating the way humans estimate visual and auditory egocentric distances of virtual objects. Subjects were asked to estimate the egocentric distance of 2–20 m distant objects in three contexts: auditory perception alone, visual one alone, combination of both perceptions (with coherent and incoherent visual and auditory cues). Even though egocentric distance was under-estimated in all contexts, the results showed a higher influence of visual information than auditory information on the perceived distance. Specifically, the bimodal incoherent condition gave perceived distances equivalent to those in the visual-only condition only when the visual target was closer to the subject than the auditory target.