A Theoretical Comparison of the Visual, Aural, and Meter Reception of Pulsed Signals in the Presence of Noise

示波器 声学 信号(编程语言) 噪音(视频) 滤波器(信号处理) 光学 声级计 物理 电气工程 计算机科学 探测器 工程类 图像(数学) 天文 人工智能 声压 程序设计语言 噪声级
作者
J. H. Van Vleck,David Middleton
出处
期刊:Journal of Applied Physics [American Institute of Physics]
卷期号:17 (11): 940-971 被引量:128
标识
DOI:10.1063/1.1707666
摘要

The present paper examines theoretically the relative sensitivity of the detection of signal pulses in the presence of noise, (a) by observation of an oscilloscope, (b) by aural perception, in which one listens to the fundamental or a low harmonic of the pulse repetition frequency (PRF), (c) and by a meter. The metering scheme may be either aperiodic, where the rectified current is fed directly to a meter with a long time-constant, or periodic, where the rectified current is sent through an audio-filter tuned to the PRF, given a supplementary rectification, and then passed through the meter. The dependence of the sensitivities of the different methods on various relevant parameters is studied in some detail. These parameters include the width and the shape of the IF response, the pulse length, the PRF, and in aural or meter reception, the duration of the gate, the width of the audio-filter, and/or the time constant of the meter. The descriptive survey of the results is given in Part I and the mathematical analysis in Part II. Among the more important results are (I): The optimum IF filter is the conjugate of the Fourier transform of the pulse, not merely for visual reception, as was previously known, but also for aural or meter reception as well. (II): For very weak signals the linear detector requires only about 5 percent more input signal power than does the quadratic to achieve the same minimum detectable signal (same final signal-to-noise ratio). (III): The aperiodic meter has the advantage of not requiring knowledge of the PRF, and has potentially great sensitivity if spurious fluctuations in gain can be balanced out. (IV): Meter methods can be made more sensitive than the oscilloscope if long time-constants are available. Gating is also necessary. (V): Although the best IF filter is the Fourier transform of the pulse, the best pulse is not the Fourier transform of the filter in aural reception (though it is in visual), for the best results in meter or audio-detection are obtained by using long pulses. In visual work, the pulse length is immaterial, to a first approximation. Curves are given showing the power required to achieve a given signal-to-noise ratio as a function of pulse length, IF filter width, the PRF, gating time, and audio-filter width, in some cases when the pulse and filter are not matched (i.e., are not related as Fourier transforms). Some numerical estimates of aural and meter performance relative to visual are also essayed.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
豆豆发布了新的文献求助10
1秒前
韩小小发布了新的文献求助10
2秒前
bolukzhang发布了新的文献求助10
2秒前
迷路的芝麻完成签到,获得积分10
2秒前
yyliu完成签到,获得积分20
3秒前
小蘑菇应助Accepted采纳,获得10
3秒前
王六六发布了新的文献求助10
4秒前
lst发布了新的文献求助10
5秒前
无糖可乐完成签到,获得积分20
6秒前
直率玉米发布了新的文献求助10
6秒前
灵ling完成签到,获得积分10
7秒前
扶本宫起来完成签到 ,获得积分10
7秒前
欣慰妙柏完成签到,获得积分10
8秒前
科研通AI6.2应助我要发SCI采纳,获得10
10秒前
ding应助dismember120采纳,获得20
10秒前
11秒前
慕青应助虫贝采纳,获得10
13秒前
笨笨沛文完成签到,获得积分10
16秒前
卤盐完成签到,获得积分10
16秒前
18秒前
希望天下0贩的0应助乐乐采纳,获得30
19秒前
19秒前
Jnnoo完成签到,获得积分10
22秒前
an_yujin发布了新的文献求助10
22秒前
科研通AI6.2应助bolukzhang采纳,获得10
23秒前
24秒前
kkkkkk8完成签到,获得积分10
27秒前
打打应助zoe采纳,获得10
28秒前
Dumbledonut完成签到,获得积分10
28秒前
28秒前
林木木应助科研通管家采纳,获得10
29秒前
wanci应助科研通管家采纳,获得10
29秒前
科目三应助科研通管家采纳,获得10
29秒前
29秒前
didiwang应助科研通管家采纳,获得30
29秒前
秋风应助科研通管家采纳,获得10
29秒前
领导范儿应助bolukzhang采纳,获得10
30秒前
汉堡包应助科研通管家采纳,获得10
30秒前
CodeCraft应助科研通管家采纳,获得10
30秒前
Wei完成签到,获得积分10
30秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
A Psychological Understanding of Criticism and Mental Health 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7752964
求助须知:如何正确求助?哪些是违规求助? 9299852
关于积分的说明 20254660
捐赠科研通 7335075
什么是DOI,文献DOI怎么找? 3310386
关于科研通互助平台的介绍 2461703
邀请新用户注册赠送积分活动 2323296