搜索

x

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

二维相敏检波器及其在调幅图像解调中应用

刘懿 郝思忠 田玉琳 刘国忠

引用本文:
Citation:

二维相敏检波器及其在调幅图像解调中应用

刘懿, 郝思忠, 田玉琳, 刘国忠

Two-dimensional phase sensitive detector and its application to demodulating amplitude modulated image

Liu Yi, Hao Si-Zhong, Tian Yu-Lin, Liu Guo-Zhong
PDF
HTML
导出引用
  • 采用二维空间调制解调技术可以提高低照度及高噪声环境条件下光电探测目标对象的能力, 本文提出了对二维空间调幅信号进行高精度检波的二维相敏检波器(two-dimensional phase-sensitive detector, 2D PSD)方法. 介绍了二维相敏检波器提取二维调幅图像中调制信号的工作原理, 并对二维相敏检波器抑制噪声、从噪声淹没的调幅图像中提取信号的能力进行了模拟仿真; 为消除屏蔽玻璃中金属丝网产生的网格调幅图像对屏蔽玻璃缺陷检测的影响, 对比分析了频域直接滤波方法、整流加滤波方法和二维相敏检波器等方法对调幅图像进行检波、提取缺陷和抑制噪声的效果. 介绍了通过外加载波和二维相敏检波方法检测普通玻璃缺陷的原理和实验结果. 模拟仿真及实际检测结果表明二维相敏检波方法可用于空间二维调幅图像解调, 大大提高输出图像的信噪比, 具有提取淹没在噪声中的调幅图像中调制信号的能力, 提高检测精度.
    Two-dimensional spatial modulation and demodulation technology can improve the weak signal detection capability of photoelectric detection system in a stronger noise background. In this paper, a two-dimensional phase-sensitive detector for the high-precision demodulation of 2D spatial amplitude-modulated signal is proposed. In this paper, we introduce the principle of extracting modulating signals from 2D amplitude modulated images by using 2D phase-sensitive detector, and simulate its ability to suppressing noise and extracting signal from the amplitude-modulated images buried in noise. In order to eliminate the influence of grid image generated by metal wire mesh sandwiched between two layers of glass on the detection of shielding glass defects, the methods of filtering in the frequency domain, rectifying plus filtering and two-dimensional phase sensitive detector are used to demodulate the mesh amplitude-modulated image, and the effects of extracting defects and suppressing noise are compared with each other. The principle and experimental results of defect detection of ordinary glass by using external carrier are also provided. The simulation results and the detection results show that the two-dimensional phase-sensitive detector can be used to demodulate spatial two-dimensional amplitude-modulated image produced by optical modulators to extract two-dimensional measurement signals. The 2D phase-sensitive detector can greatly improve the signal-to-noise ratio of the output image, increase detection accuracy and the ability to extract modulating signals from the amplitude-modulated image buried in noise.
      通信作者: 刘国忠, liuguozhong@bistu.edu.cn
    • 基金项目: 北京市自然科学基金(批准号: 7172035)资助的课题
      Corresponding author: Liu Guo-Zhong, liuguozhong@bistu.edu.cn
    • Funds: Project supported by Beijing Natural Science Foundation (Grant No. 7172035)
    [1]

    牟畅, 王彩霞, 段可, 刘鹏 2018 长春理工大学学报(自然科学版) 41 86Google Scholar

    Mu C, Wang C X, Duan K, Liu P 2018 J. Changchun Univ. Sci. Technol. Natural Science Edition 41 86Google Scholar

    [2]

    武博宇 2018 硕士学位论文(长春: 长春理工大学)

    Wu B Y 2018 M. S. Thesis (Taiyuan: Shanxi University) (in Chinese)

    [3]

    官庆 2016 光学与光电技术 14 87

    Guan Q 2016 Opt. Optoelectr. Technol. 14 87

    [4]

    邹昀哲 2016 科技经济导刊 02 85

    Zou Y Z 2016 Technol. Economic Guide 02 85

    [5]

    王建立 2015 飞行器测控学报 34 489

    Wang J L 2015 J. Spacecraft TT&C Technol. 34 489

    [6]

    丁珏, 黄传伟, 陈珣, 李斯伟, 梁晓会 2014 光学与光电技术 12 35

    Ding Y, Huang C W, Chen X, Li S W, Liang X H 2014 Opt. Optoelectr. Technol. 12 35

    [7]

    叶松, 严浩方, 孙晓兵, 汪杰君, 王新强, 王方原, 李树, 甘永莹, 张文涛 2019 光学学报 39 74

    Ye S, Yan H W, Sun X B, Wang J J, Wang X Q, Wang F Y, Li S, Gan Y Y, Zhang W T 2019 Acta Opt. Sin. 39 74

    [8]

    杨鲁新, 董文博 2018 载人航天 24 55Google Scholar

    Yang L X, Dong W B 2018 Manned Spaceflight 24 55Google Scholar

    [9]

    郝勤正, 杨玲, 甄小琼, 刘汉明 2018 激光与光电子学进展 55 125

    Hao Q Z, Yang L, Zhen X Q, Liu H M 2018 Laser & Optoelectronics Progress 55 125

    [10]

    Thomsen C, Grahn H T, Maris H J 1986 Phys. Rev. B 34 4129Google Scholar

    [11]

    Stewart C E, Hooper I R, Sambles J R 2008 J. Phys. D: Appl. Phys. 41 105408

    [12]

    Johnston N S 2009 Ph. D. Dissertation (Nottingham: University of Nottingham

    [13]

    刘灏, 宋岩峰, 张西京, 孙卫平, 李杰 2016 激光与红外 46 1441Google Scholar

    Liu H, Song Y F, Zhang X J, Sun W P, Li J 2016 Laser & Infrared 46 1441Google Scholar

    [14]

    Johnston N S, Light R, Zhang J, Somekh M, Pitter M 2011 Proc. SPIE 73 807303

    [15]

    Hornbeck L J 1990 Proc. SPIE Spatial Light Modulators and Applications 1150 86

    [16]

    Jia Y Q, Feng Q, Zhang B, Wang W, Lin C Y, Ding Y C 2018 Chin. Phys. Lett. 35 48

    [17]

    冯维, 张福民, 王惟婧, 曲兴华 2017 物理学报 66 234201Google Scholar

    Feng W, Zhang F M, Wang W J, Qu X H 2017 Acta Phys. Sin. 66 234201Google Scholar

    [18]

    李威威 2018 硕士学位论文(西安: 西安电子科技大学)

    Li W W 2018 M. S. Thesis (Xian: Xidian University) (in Chinese)

    [19]

    马翠 2018 博士学位论文(深圳: 中国科学院大学(中国科学院深圳先进技术研究院)

    Ma C 2018 Ph. D. Dissertation (Shenzhen: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences) (in Chinese)

    [20]

    王惟婧 2017 硕士学位论文(天津: 天津大学)

    Wang W J 2017 M. S. Thesis (Tianjin: Tianjin University) (in Chinese)

    [21]

    王淑仙 2008 博士学位论文(上海: 华东师范大学)

    Wang S X 2008 Ph. D. Dissertation (Shanghai: East China Normal University) (in Chinese)

    [22]

    吴创奇 2016 硕士学位论文(南京: 南京理工大学)

    Wu C Q 2016 M. S. Thesis (Nanjing: Nanjing University of Science and Technology) (in Chinese)

    [23]

    吉莉 2015 硕士学位论文(南京: 南京理工大学)

    Ji L 2015 M. S. Thesis (Nanjing: Nanjing University of Science and Technology) (in Chinese)

  • 图 1  二维相敏检波器组成

    Fig. 1.  Block diagram of 2D PSD.

    图 2  二维空间调制及二维相敏检波过程 (a) 二维调制信号空域图像; (b) 二维调制信号频域2D图像; (c) 二维调制信号频域3D网格图像; (d) 二维载波信号空域图像; (e) 二维载波信号频域2D图像; (f) 二维载波信号频域3D网格显示; (g) 二维调幅信号空域图像; (h) 二维调幅信号频域2D图像; (i) 二维调幅信号频域3D网格图像; (j) 乘法器输出信号空域图像; (k) 乘法器输出信号频域2D图像; (l) 乘法器输出信号频域3D网格图像; (m) 相敏检波器输出信号空域图像; (n) 相敏检波器输出信号频域2D图像; (o) 相敏检波器输出信号频域3D网格图像

    Fig. 2.  Simulation of 2D spatial modulation and 2D PSD: (a) Spatial image of 2-D modulating signal; (b) frequency domain image of 2D modulating signal; (c) frequency domain 3D mesh image of 2D modulating signal; (d) spatial image of 2D carrier signal; (e) frequency domain image of 2D carrier signal; (f) frequency domain 3D mesh image of 2D carrier signal; (g) spatial image of 2D modulated signal; (h) frequency domain image of 2D modulated signal; (i) frequency domain 3D mesh image of 2D modulated signal; (j) output spatial image of multiplier; (k) output frequency domain image of multiplier; (l) output frequency domain 3D mesh image of multiplier; (m) output spatial image of 2D PSD; (n) output frequency domain image of 2D PSD; (o) output frequency domain 3D mesh image of 2D PSD.

    图 3  两种不同检波器检波方法及噪声抑制特性仿真流程 (a) 整流滤波方法; (b) 二维相敏检波方法

    Fig. 3.  Simulation flow of demodulation and noise suppression of two different demodulation methods: (a) Rectifier + filtering method; (b) 2D PSD.

    图 4  二维调幅信号在加入不同噪声情况下两种检波方法噪声抑制特性 (a) 信噪比60 dB调幅信号; (b) 输入60 dB, 二维相敏检波输出空域2D图像; (c) 输入60 dB, 二维相敏检波输出空域3D网格图像; (d) 输入60 dB, 整流 + 滤波方法输出空域2D图像; (e) 输入60 dB, 整流 + 滤波方法输出空域3D网格图像; (f) 信噪比0 dB调幅信号; (g) 输入0 dB, 二维相敏检波输出空域2D图像; (h) 输入0 dB, 二维相敏检波输出空域3D网格图像; (i) 输入0 dB, 整流 + 滤波方法输出空域2D图像; (j) 输入0 dB, 整流 + 滤波方法输出空域3D网格图像; (k) 信噪比–30 dB调幅信号; (l) 输入–30 dB, 二维相敏检波输出空域2D图像; (m) 输入–30 dB, 二维相敏检波输出空域3D网格图像; (n) 输入–30 dB, 整流 + 滤波方法输出空域2D图像; (o) 输入–30 dB, 整流 + 滤波方法输出空域3D网格图像

    Fig. 4.  Noise suppression characteristics of two demodulation methods in different noise background: (a) Amplitude-modulated signal of 60 dB; (b) output spatial image of 2D PSD in case of 60 dB; (c) output spatial domain 3D mesh image of 2D PSD in case of 60 dB; (d) output spatial image of rectifier + filtering method in case of 60 dB; (e) output spatial domain 3D mesh image of rectifier + filtering method in case of 60 dB; (f) amplitude-modulated signal of 0 dB; (g) output spatial image of 2D PSD in case of 0 dB; (h) output spatial domain 3D mesh image of 2D PSD in case of 0 dB; (i) output spatial image of rectifier + filtering method in case of 0 dB; (j) output spatial domain 3D mesh image of rectifier + filtering method in case of 0 dB; (k) amplitude-modulated signal of –30 dB; (l) output spatial image of 2D PSD in case of –30 dB; (m) output spatial domain 3D mesh image of 2D PSD in case of –30 dB; (n) output spatial image of rectifier + filtering method in case of –30 dB; (o) output spatial domain 3D mesh image of rectifier + filtering method in case of –30 dB.

    图 5  两种不同检波方法输出信噪比随输入信噪比的变化

    Fig. 5.  Variation curve of output signal-to-noise ratio with input signal-to-noise ratio for two demodulation methods.

    图 6  屏蔽玻璃典型缺陷图像 (a) 黑点; (b) 划痕; (c) 白线

    Fig. 6.  Typical defect images of shielding glass: (a) Black spot; (b) scratch; (c) white line.

    图 7  屏蔽玻璃缺陷检测算法流程 (a) 直接滤波方法; (b) 整流 + 滤波方法; (b) 二维相敏检波方法之一(近似提取载波); (d) 二维相敏检波方法之二(精确提取载波)

    Fig. 7.  Flow chart of defect detection algorithm for shielding glass: (a) Direct filtering method; (b) rectifier + filtering method; (c) 2D PSD(extracting carrier approximately); (d) 2D PSD(extracting carrier accurately).

    图 8  二维相敏检波方法屏蔽玻璃缺陷识别过程 (a) 屏蔽玻璃原始二维图像; (b) 原始二维图像幅度谱2D显示; (c) 原始二维图像幅度谱3D网格显示; (d) 载波幅度谱2D显示; (e) 载波幅度谱3D网格显示; (f) 提取的载波图像; (g) 乘法器输出图像; (h) 乘法器输出图像幅度谱2D显示; (i) 乘法器输出图像幅度谱3D网格显示; (j) 滤波器幅度谱; (k) 滤波器输出图像幅度谱2D显示; (l) 滤波器输出图像幅度谱3D网格显示; (m) 滤波器输出图像2D显示; (n) 滤波器输出图像3D网格显示; (o) 缺陷二值化图像

    Fig. 8.  Detection process of defects in shielding glass for 2D PSD: (a) Original 2D image of shielding glass; (b) amplitude spectrum 2D display of original image; (c) amplitude spectrum 3D mesh display of original image; (d) amplitude spectrum 2D display of carrier; (e) amplitude spectrum 3D mesh display of carrier; (f) extracted carrier image; (g) output image of multiplier; (h) amplitude spectrum 2D display of output image of multiplier; (i) amplitude spectrum 3D mesh display of output image of multiplier; (j) amplitude spectrum 2D display of filter; (k) amplitude spectrum 2D display of output image of filter; (l) amplitude spectrum 3D mesh display of output image of filter; (m) 2D display of output image of filter; (n) 3D mesh display of output image of filter; (o) binary image of defect.

    图 9  四种屏蔽玻璃缺陷检测算法输出图像信噪比对比 (a) 黑点缺陷原始图像; (b) 划痕缺陷原始图像; (c) 白线缺陷原始图像; (d) 黑点缺陷直接滤波方法输出图像; (e) 划痕缺陷直接滤波方法输出图像; (f) 白线缺陷直接滤波方法输出图像; (g) 黑点缺陷整流滤波方法输出图像; (h) 划痕缺陷整流滤波方法输出图像; (i) 白线缺陷整流滤波方法输出图像; (j) 黑点缺陷二维相敏检波方法(近似提取载波)输出图像; (k) 划痕缺陷二维相敏检波方法(近似提取载波)输出图像; (l) 白线缺陷二维相敏检波方法(近似提取载波)输出图像; (m) 黑点缺陷二维相敏检波方法(精确提取载波)输出图像; (n) 划痕缺陷二维相敏检波方法(精确提取载波)输出图像; (o) 白线缺陷二维相敏检波方法(精确提取载波)输出图像

    Fig. 9.  Signal-to-noise ratio of defect output images for different detection methods: (a) Original 2D image of black spot defect; (b) original 2D image of scratch defect; (c) original 2D image of white line defect; (d) image of black spot defect achieved by filtering method; (e) image of scratch defect achieved by filtering method; (f) image of white line defect achieved by filtering method; (g) image of black spot defect achieved by rectifier + filtering method; (h) image of scratch defect achieved by rectifier + filtering method; (i) image of white line defect achieved by rectifier + filtering method; (j) image of black spot defect achieved by 2D PSD (extracting carrier approximately) method; (k) image of scratch defect achieved by 2D PSD (extracting carrier approximately) method; (l) image of white line defect achieved by 2D PSD (extracting carrier approximately) method; (m) image of black spot defect achieved by 2D PSD (extracting carrier accurately) method; (n) image of scratch defect achieved by 2D PSD (extracting carrier accurately) method; (o) image of white line defect achieved by 2D PSD (extracting carrier accurately) method.

    图 10  外加载波方法普通玻璃缺陷检测结果 (a) 软件生成的二维载波图像; (b) 投影仪投射的未加调制的载波图像; (c) 相机获取的已调制图像; (d) 强环境光下的已调制图像; (e) 叠加了噪声的已调制图像; (f)图(c)和(d)解调后的2D图像; (g)图(c)和(d)解调后的3D网格显示图像; (h) 图(e)解调后的3D网格显示图像

    Fig. 10.  Detection results of glass defects by using external carrier method: (a) 2D carrier image generated by software; (b) unmodulated carrier image projected by projector; (c) 2D modulated image acquired by camera; (d) modulated image in strong ambient light: (e) modulated image superimposed with noise; (f) demodulated 2D image of (c) and (d); (g) demodulated 3D mesh image of (c) and (d); (h) demodulated 3D mesh image of (e).

  • [1]

    牟畅, 王彩霞, 段可, 刘鹏 2018 长春理工大学学报(自然科学版) 41 86Google Scholar

    Mu C, Wang C X, Duan K, Liu P 2018 J. Changchun Univ. Sci. Technol. Natural Science Edition 41 86Google Scholar

    [2]

    武博宇 2018 硕士学位论文(长春: 长春理工大学)

    Wu B Y 2018 M. S. Thesis (Taiyuan: Shanxi University) (in Chinese)

    [3]

    官庆 2016 光学与光电技术 14 87

    Guan Q 2016 Opt. Optoelectr. Technol. 14 87

    [4]

    邹昀哲 2016 科技经济导刊 02 85

    Zou Y Z 2016 Technol. Economic Guide 02 85

    [5]

    王建立 2015 飞行器测控学报 34 489

    Wang J L 2015 J. Spacecraft TT&C Technol. 34 489

    [6]

    丁珏, 黄传伟, 陈珣, 李斯伟, 梁晓会 2014 光学与光电技术 12 35

    Ding Y, Huang C W, Chen X, Li S W, Liang X H 2014 Opt. Optoelectr. Technol. 12 35

    [7]

    叶松, 严浩方, 孙晓兵, 汪杰君, 王新强, 王方原, 李树, 甘永莹, 张文涛 2019 光学学报 39 74

    Ye S, Yan H W, Sun X B, Wang J J, Wang X Q, Wang F Y, Li S, Gan Y Y, Zhang W T 2019 Acta Opt. Sin. 39 74

    [8]

    杨鲁新, 董文博 2018 载人航天 24 55Google Scholar

    Yang L X, Dong W B 2018 Manned Spaceflight 24 55Google Scholar

    [9]

    郝勤正, 杨玲, 甄小琼, 刘汉明 2018 激光与光电子学进展 55 125

    Hao Q Z, Yang L, Zhen X Q, Liu H M 2018 Laser & Optoelectronics Progress 55 125

    [10]

    Thomsen C, Grahn H T, Maris H J 1986 Phys. Rev. B 34 4129Google Scholar

    [11]

    Stewart C E, Hooper I R, Sambles J R 2008 J. Phys. D: Appl. Phys. 41 105408

    [12]

    Johnston N S 2009 Ph. D. Dissertation (Nottingham: University of Nottingham

    [13]

    刘灏, 宋岩峰, 张西京, 孙卫平, 李杰 2016 激光与红外 46 1441Google Scholar

    Liu H, Song Y F, Zhang X J, Sun W P, Li J 2016 Laser & Infrared 46 1441Google Scholar

    [14]

    Johnston N S, Light R, Zhang J, Somekh M, Pitter M 2011 Proc. SPIE 73 807303

    [15]

    Hornbeck L J 1990 Proc. SPIE Spatial Light Modulators and Applications 1150 86

    [16]

    Jia Y Q, Feng Q, Zhang B, Wang W, Lin C Y, Ding Y C 2018 Chin. Phys. Lett. 35 48

    [17]

    冯维, 张福民, 王惟婧, 曲兴华 2017 物理学报 66 234201Google Scholar

    Feng W, Zhang F M, Wang W J, Qu X H 2017 Acta Phys. Sin. 66 234201Google Scholar

    [18]

    李威威 2018 硕士学位论文(西安: 西安电子科技大学)

    Li W W 2018 M. S. Thesis (Xian: Xidian University) (in Chinese)

    [19]

    马翠 2018 博士学位论文(深圳: 中国科学院大学(中国科学院深圳先进技术研究院)

    Ma C 2018 Ph. D. Dissertation (Shenzhen: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences) (in Chinese)

    [20]

    王惟婧 2017 硕士学位论文(天津: 天津大学)

    Wang W J 2017 M. S. Thesis (Tianjin: Tianjin University) (in Chinese)

    [21]

    王淑仙 2008 博士学位论文(上海: 华东师范大学)

    Wang S X 2008 Ph. D. Dissertation (Shanghai: East China Normal University) (in Chinese)

    [22]

    吴创奇 2016 硕士学位论文(南京: 南京理工大学)

    Wu C Q 2016 M. S. Thesis (Nanjing: Nanjing University of Science and Technology) (in Chinese)

    [23]

    吉莉 2015 硕士学位论文(南京: 南京理工大学)

    Ji L 2015 M. S. Thesis (Nanjing: Nanjing University of Science and Technology) (in Chinese)

  • [1] 周飞, 陈奇, 刘浩, 戴越, 魏晨, 袁杭, 王昊, 涂学凑, 康琳, 贾小氢, 赵清源, 陈健, 张蜡宝, 吴培亨. 基于超导单光子探测器的红外光学系统噪声分析和优化. 物理学报, 2024, 73(6): 068501. doi: 10.7498/aps.73.20231526
    [2] 史平, 马健, 钱轩, 姬扬, 李伟. 铷原子气体自旋噪声谱测量的信噪比分析. 物理学报, 2017, 66(1): 017201. doi: 10.7498/aps.66.017201
    [3] 张宣妮, 张淳民, 艾晶晶. 四分束风成像偏振干涉仪信噪比的研究. 物理学报, 2013, 62(3): 030701. doi: 10.7498/aps.62.030701
    [4] 马再如, 隋展, 冯国英, 孙年春, 王屹山, 张彬, 陈建国. 光谱扫描滤波法提升飞秒激光信噪比的理论分析. 物理学报, 2012, 61(7): 074206. doi: 10.7498/aps.61.074206
    [5] 曾冰, 曾曙光, 张彬, 孙年春, 隋展. 提升啁啾脉冲激光信噪比的扫描滤波方法. 物理学报, 2012, 61(15): 154209. doi: 10.7498/aps.61.154209
    [6] 李伟昌, 王兆华, 刘成, 滕浩, 魏志义. 飞秒超强激光多通预放大过程中的脉冲信噪比研究. 物理学报, 2011, 60(12): 124210. doi: 10.7498/aps.60.124210
    [7] 王德江, 匡海鹏. 模拟增益对电荷耦合器件信噪比与动态范围影响的实验研究. 物理学报, 2011, 60(7): 077208. doi: 10.7498/aps.60.077208
    [8] 张一驰, 武寄洲, 马杰, 赵延霆, 汪丽蓉, 肖连团, 贾锁堂. 最优化参数控制提高超冷铯分子振转光谱的信噪比. 物理学报, 2010, 59(8): 5418-5423. doi: 10.7498/aps.59.5418
    [9] 周丙常, 徐 伟. 关联噪声驱动的非对称双稳系统的随机共振. 物理学报, 2008, 57(4): 2035-2040. doi: 10.7498/aps.57.2035
    [10] 宁丽娟, 徐 伟. 光学双稳系统中的随机共振. 物理学报, 2007, 56(4): 1944-1947. doi: 10.7498/aps.56.1944
    [11] 李雪霞, 冯久超. 一种混沌信号的盲分离方法. 物理学报, 2007, 56(2): 701-706. doi: 10.7498/aps.56.701
    [12] 郝建红, 孙志华, 许海波. 干扰信号对两种混沌加密系统的影响及分析. 物理学报, 2007, 56(12): 6857-6864. doi: 10.7498/aps.56.6857
    [13] 周丙常, 徐 伟. 周期混合信号和噪声联合激励下的非对称双稳系统的随机共振. 物理学报, 2007, 56(10): 5623-5628. doi: 10.7498/aps.56.5623
    [14] 董小娟. 含关联噪声与时滞项的非对称双稳系统的随机共振. 物理学报, 2007, 56(10): 5618-5622. doi: 10.7498/aps.56.5618
    [15] 袁志林, 张淳民, 赵葆常. 新型偏振干涉成像光谱仪信噪比研究. 物理学报, 2007, 56(11): 6413-6419. doi: 10.7498/aps.56.6413
    [16] 李 月, 路 鹏, 杨宝俊, 赵雪平. 用一类特定的双耦合Duffing振子系统检测强色噪声背景中的周期信号. 物理学报, 2006, 55(4): 1672-1677. doi: 10.7498/aps.55.1672
    [17] 靳艳飞, 徐 伟, 李 伟, 徐 猛. 具有周期信号调制噪声的线性模型的随机共振. 物理学报, 2005, 54(6): 2562-2567. doi: 10.7498/aps.54.2562
    [18] 徐 伟, 靳艳飞, 徐 猛, 李 伟. 偏置信号调制下色关联噪声驱动的线性系统的随机共振. 物理学报, 2005, 54(11): 5027-5033. doi: 10.7498/aps.54.5027
    [19] 李 月, 杨宝俊, 石要武. 色噪声背景下微弱正弦信号的混沌检测. 物理学报, 2003, 52(3): 526-530. doi: 10.7498/aps.52.526
    [20] 康艳梅, 徐健学, 谢 勇. 弱噪声极限下二维布朗运动的随机共振现象. 物理学报, 2003, 52(4): 802-808. doi: 10.7498/aps.52.802
计量
  • 文章访问数:  7993
  • PDF下载量:  37
  • 被引次数: 0
出版历程
  • 收稿日期:  2019-05-25
  • 修回日期:  2019-07-12
  • 上网日期:  2019-11-01
  • 刊出日期:  2019-11-20

/

返回文章
返回