杨飞然 - 中国科学院大学 - 电子电气与通信工程学院

个人简介

招生专业 081002-信号与信息处理 085400-电子信息招生方向声频信号处理招生要求本实验室毕业生大多就业于华为、阿里、腾讯、百度、小米等知名企业且供不应求。欢迎具备以下素养的学生来实验室读研：（1）扎实的数学功底；（2）坚实的声学或数字信号处理基础；（3）较好的代码能力或丰富的硬件经验。教育背景 2010-09--2013-07 中科院声学所博士 2005-09--2008-03 东南大学硕士 2001-09--2005-07 山东大学学士工作简历 2016-04~2017-04,德国波鸿鲁尔大学通信声学研究所, 访问学者 2013-07~现在, 中国科学院声学研究所, 研究员 2008-03~2010-07,富迪科技（南京）有限公司, 高级工程师教授课程通信声学前沿技术讲座通信声学奖励信息（1）中国科学院优秀博士论文奖, , 院级, 2016 （2）中国科学院院长奖优秀奖, , 院级, 2013 （3）中国科学院/北京市优秀毕业生, , 院级, 2013 专利成果（ 1 ）一种基于时间反转的声反馈抑制方法, 发明, 2014, 第 1 作者, 专利号: 201110081446.8 （ 2 ）一种用于通信系统中的回声抵消方法, 发明, 2014, 第 1 作者, 专利号: 201110082201.7 （ 3 ）一种基于反馈信号频谱估计的啸叫抑制方法, 发明, 2014, 第 1 作者, 专利号: 201110082197.4 （ 4 ）基于回声频谱估计和语音存在概率的立体声回声抵消方法, 发明, 2013, 第 1 作者, 专利号: 201110081430.7 （ 5 ）一种立体声音效增强系统, 发明, 2017, 第 1 作者, 专利号: 201510645398.9 （ 6 ）一种基于卡尔曼滤波的去混响方法及系统, 发明, 2017, 第 2 作者, 专利号: 201711285885.4 （ 7 ）一种非平稳噪声环境下的麦克风阵列语音增强方法, 发明, 2015, 第 2 作者, 专利号: 201110427329.2 （ 8 ）一种复数窄带干扰信号的频率估计及抑制装置及其方法, 发明, 2015, 第 2 作者, 专利号: 201510587605.X （ 9 ）一种无误差传声器的自适应主动降噪方法, 发明, 2018, 第 2 作者, 专利号: 201810214429.9 （ 10 ）一种低复杂度的频域盲分离方法及系统, 发明, 2019, 第 2 作者, 专利号: 201910207390.2 （ 11 ）一种用于调节扬声器音量的多通道扩声系统及方法, 发明, 2019, 第 2 作者, 专利号: 201911196868.2 科研项目（ 1 ）变步长和变正则化因子的子带自适应滤波算法研究, 主持, 国家级, 2016-01--2018-12 （ 2 ）基于传声器阵列的室内拾音关键技术研究, 主持, 市地级, 2018-06--2020-12 （ 3 ）中罗例会交流项目“自适应滤波算法及其在系统辨识中的应用”, 主持, 国家级, 2018-06--2019-12 （ 4 ）基于嵌入式智能电视终端的海端音效处理技术, 参与, 部委级, 2013-01--2016-12 （ 5 ）基于F0型DSP平台的音效增强技术, 主持, 院级, 2014-01--2015-12 （ 6 ）扩声系统环境噪声检测自动增益项目, 主持, 院级, 2018-05--2019-12 （ 7 ）快速仿射投影算法的性能比较和理论分析, 主持, 市地级, 2014-01--2015-12 （ 8 ）远场语音拾取关键技术研究, 主持, 部委级, 2018-01--2021-12 （ 9 ）列车广播语音信号增强技术研究, 主持, 院级, 2019-12--2021-12 （ 10 ） CPS融合的工控异常检测技术与系统, 参与, 部委级, 2019-05--2025-12 （ 11 ）室内声场自动均衡, 主持, 院级, 2020-10--2021-04 （ 12 ）回声抵消, 主持, 院级, 2021-01--2021-12

研究领域

自适应滤波理论及其应用（回声抵消、有源噪声控制、啸叫抑制）麦克风阵列信号处理（声源定位、波束形成、去混响、盲源分离）声场重建理论和虚拟环绕声技术（音效增强、HRTF）

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1] S. Liu, F. Yang, Y. Cao, and J. Yang, "Frequency-dependent auto-pooling function for weakly supervised sound event detection,” EURASIP Journal on Audio, Speech, and Music Processing, 2021. [2] F. Yang, G. Enzner, and J. Yang, "New insights into convergence theory of constrained frequency-domain adaptive filters,” Circuits Syst. Signal Process., vol. 40, pp. 2076–2090, Apr. 2021. [3] Z. Yan, F. Yang, and J. Yang, "Optimum step-size control for a variable step-size stereo acoustic echo canceller in the frequency domain," Speech Communication, vol. 124, pp. 21–27, Nov. 2020. [4] F. Yang, J. Guo, and J. Yang, "Stochastic analysis of the filtered-x LMS algorithm for active noise control," IEEE/ACM Trans. Audio, Speech, Lang. Process., vol. 28, pp. 2252–2266, 2020. [5] J. Guo, F. Yang, and J. Yang, "Mean-square performance of the modified FxAP algorithm for active noise control," Circuit Syst. Signal Process., vol. 39, no. 8, pp. 4243–4257, Aug. 2020. [6] J. Guo, F. Yang, and J. Yang, "Convergence analysis of the conventional filtered-x affine projection algorithm for active noise control," Signal Process., vol. 170, May, 2020. [7] C. Lu, F. Yang, and J. Yang, “An adaptive time-domain Kalman filtering approach to acoustic feedback cancellation for hearing aids,” Chinese Journal of Electronics, pp. 139–146, Jan. 2020. [8] F. Kang, F. Yang, and J. Yang, “A low-complexity permutation alignment method for frequency-domain blind source separation,” Speech Communication, vol. 115, pp. 88–94, Dec. 2019. [9] F. Yang and J. Yang, "Convergence analysis of deficient-length frequency-domain adaptive filters," IEEE Trans. Circuits Syst. I, vol. 66, no. 11, pp. 4242–4255, Nov. 2019. [10] F. Yang and J. Yang, "Mean-square performance of the modified frequency-domain block LMS algorithm," Signal Process., vol. 163, pp 18–25, Oct. 2019. [11] F. Yang, G. Enzner, and J. Yang, "A unified approach to the statistical convergence analysis of frequency-domain adaptive filters," IEEE Trans. Signal Process., vol. 67, pp. 1785–1796, Apr. 2019. [12] Y. Qi, F. Yang, M, Wu, and J. Yang, “A broadband Kalman filtering approach to blind multichannel identification,” IEICE Trans. Fundamentals, vol. E102-A, pp.788–795, June 2019. [13] F. Yang and J. Yang, “Optimal step-size control of the partitioned block frequency-domain adaptive filter,” IEEE Trans. Circuits Syst. II, vol. 65, no. 6, pp. 814–818, Jun. 2018. [14] F. Yang, Y. Cao, M. Wu, F. Albu, and J. Yang, “Frequency-domain filtered-x LMS algorithms for active noise control: a review and new insights,” Applied Sciences, vol. 8, no. 11, 2018. [15] F. Yang and J. Yang, “Multiband-structured Kalman filter,” IET Signal Process., vol. 12, no. 6, pp. 722–728, Aug. 2018. [16] F. Yang and J. Yang, “A comparative survey of fast affine projection algorithms,” Digital Signal Process., vol. 83, pp. 297–322, Dec. 2018. [17] Q. Feng, F. Yang, and J. Yang, “Time-domain sound field reproduction using the group Lasso,” J. Acoust. Soc. Amer., vol. 143. No. 2. pp. EL55–EL60, Feb. 2018. [18] F. Yang, G. Enzner, and J. Yang, "Statistical convergence analysis for optimal control of DFT-domain adaptive echo canceler," IEEE/ACM Trans. Audio, Speech, Lang. Process., vol. 25, no. 5, pp. 1095–1106, May 2017. [19] F. Yang, G. Enzner, and J. Yang, "Frequency-domain adaptive Kalman filter with fast recovery of abrupt echo-path changes," IEEE Signal Process. Lett., vol. 24, no. 12, pp. 1778–1782, Dec. 2017. [20] Z. Yan, F. Yang, and J. Yang, "Block sparse reweighted zero-attracting normalised least mean square algorithm for system identification," Electronics Letters, vol. 53, pp. 899–900, July 2017. [21] Q. Feng, F. Yang, and J. Yang, “Interpolation of the early part of the acoustic transfer functions using block sparse models,” J. Acoust. Soc. Amer., vol. 142, no. 6, pp. EL532–EL536, Dec. 2017. [22] R. Zhu, F. Yang, and J. Yang, "An RLS-based Lattice-form complex adaptive notch filter," IEEE Signal Process. Lett., vol. 23, no. 2, pp.217–221, Feb. 2016. [23] R. Zhu, F. Yang, and J. Yang, "A gradient-adaptive lattice based complex adaptive notch filter," EURASIP Journal on Advances in Signal Process., 2016. [24] F. Yang, M. Wu, P. Ji, and J. Yang, "Low-complexity implementation of the improved multiband-structured subband adaptive filter algorithm," IEEE Trans. Signal Process., pp. 5133–5148, Oct. 2015. [25] F. Yang, M. Wu, P. Ji, Z. Kuang, and J. Yang, "Transient and steady-state analyses of the improved multiband-structured subband adaptive filter algorithm," IET Signal Process., pp. 596–604, Oct. 2015. [26] F. Yang, M. Wu, J. Yang, and Z. Kuang, "A fast exact filtering approach to a family of affine projection-type algorithms," Signal Process., vol. 101, pp. 1–10, Aug. 2014. [27] F. Yang, M. Wu, and J. Yang, "A computationally efficient delayless frequency-domain adaptive filter algorithm," IEEE Trans. Circuits Syst. II, vol. 60, no. 4, pp. 222–226, Apr. 2013. [28] F. Yang, M. Wu, and J. Yang, "Stereophonic acoustic echo suppression based on Wiener filter in the short-time Fourier transform domain," IEEE Signal Process. Lett., pp. 227–230, Apr. 2012. [29] F. Yang, M. Wu, P. Ji, and J. Yang, "An improved multiband-structured subband adaptive filter algorithm," IEEE Signal Process. Lett., vol. 19, no. 10, pp.647–650, Oct. 2012.