基本信息
杨飞然男硕导中国科学院声学研究所
电子邮件： feiran@mail.ioa.ac.cn
通信地址： 北京市海淀区北四环西路21号
邮政编码： 100190

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）
基于机器学习的声场景分类和声事件检测







招生信息
招生专业081002-信号与信息处理

招生方向声频信号处理


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


工作经历
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
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


专利与奖励
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: 6.8
（ 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: 1.7
（ 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: 7.4
（ 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: 0.7
（ 5 ） 一种立体声音效增强系统, 发明, 2017, 第 1 作者, 专利号: 8.9
（ 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: 5.4
（ 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: 9.2
（ 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: 5.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: 9.9
（ 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: 0.2
（ 11 ） 一种基于环境噪声自适应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: 8.2


出版信息


































期刊论文
[1]J. Guo, F. Yang, and J. Yang, "Mean-square performance of the modified FxAP algorithm for active noise control,” Circuits, Systems, and Signal Processing, 2020.
[2] 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.
[3] 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, vol. 29, no. 1, pp. 139–146, Jan. 2020.
[4]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.
[5] F. Yangand 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.
[6] F. Yangand J. Yang, "Mean-square performance of the modified frequency-domain block LMS algorithm,”Signal Process., vol. 163, pp 18–25, Oct. 2019.
[7] 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, no. 7, pp. 1785–1796, Apr. 2019.
[8]Y. Qi,F. Yang, M, Wu, and J. Yang, “A broadband Kalman filtering approach to blind multichannel identification,”IEICE Trans. Fundamentals, vol. E102-A, no. 6,pp.788–795, June2019.
[9]F. Yangand 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.
[10]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.
[11]F. Yangand J. Yang, “Multiband-structured Kalman filter,”IET Signal Process., vol. 12, no. 6, pp. 722–728, Aug. 2018.
[12]F. Yangand J. Yang, “A comparative survey of fast affine projection algorithms,”Digital Signal Process., vol. 83, pp. 297–322, Dec. 2018.
[13]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.
[14]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.
[15]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.
[16]Z. Yan,F. Yang, and J. Yang, "Block sparse reweighted zero-attracting normalised least mean square algorithm for system identification,”Electronics Letters, vol. 53, no. 14, pp. 899–900, July 2017.
[17]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.
[18]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.
[19]R. Zhu,F. Yang, and J. Yang, "A gradient-adaptive lattice based complex adaptive notch filter,”EURASIP Journal on Advances in Signal Process., 2016.
[20]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., vol. 63, no. 19, pp. 5133–5148, Oct. 2015.
[21]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., vol. 9, no. 8, pp. 596–604, Oct. 2015.
[22]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.
[23]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.
[24]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., vol. 19, no. 4, pp. 227–230, Apr. 2012.
[25] 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.


会议论文
[1]F. Yang, F. Albu, and J. Yang, "An alternative solution to the dynamically regularized RLS algorithm,” in Proc. APSIPA Annual Summit and Conference,Nov. 2019.
[2]Y. Qi, F. Yang, and J. Yang, “A late reverberation power spectral density aware approach to speech dereverberation based on deep neural networks,” in Proc.APSIPAAnnual Summit and Conference, Nov.2019.
[3]F. Yang, G. Enzner, and J. Yang, "Transient analysis of partitioned-block frequency-domain adaptive filters,” in Proc. 27th European Signal Processing Conference (EUSIPCO), Sep. 2019.
[4] J. Yang, M. Wu,F. Yang, and Z. Han, "Sound zone reproduction using loudspeaker array," in Proc. Inter-noise, Jun. 2019.
[5] A. Bobeica, I. C. Dragoi, I. Caciula, D. Coltuc, F. Albu, F. Yang, "Capacity control for prediction error expansion based audio reversible data hiding," in Proc. 22nd International Conference on System Theory, Control and Computing (ICSTCC), Oct. 2018.
[6] D. Yao, J. Li, R. Xia, and F. Yang, “A parametric method for elevation control,” in Proc. 16th International Workshop on Acoustic Signal Enhancement (IWAENC), Sep. 2018.
[7] J. Guo, F. Yang, G. Enzner, and J. Yang, "Tracking analysis and improvement of broadband Kalman filter using the two-echo-path model as a rapid tunnel,” in Proc. 16th International Workshop on Acoustic Signal Enhancement (IWAENC), Sep. 2018.
[8]F. Yang and J. Yang, "A fast affine projection algorithm based on a modified Toeplitz matrix," in Proc.APSIPAAnnual Summit and Conference, Dec. 2017, pp. 1378–1381.
[9] C. Lu, F. Yang, and J. Yang, "A frequency-domain adaptive feedback cancellation algorithm based on convex combination,” in Proc.APSIPAAnnual Summit and Conference, Dec. 2017.
[10] Z. Yan, F. Yang, and J. Yang, “Variable step-size matrix for the improved multiband-structured subband adaptive filter,” in Proc. 13th IEEE International Conference on Signal Processing (ICSP), Nov. 2016, pp. 362–366.
[11] Q. Feng, F. Yang, and J. Yang, “Compressed sensing based multi-zone sound field reproduction,” in Proc. 13th IEEE International Conference on Signal Processing (ICSP), Nov. 2016, pp. 438–442.
[12]F. Yang, and J. Yang, "Fast implementation of a family of memory proportionate affine projection algorithm," in Proc. IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), April, 2015, pp. 3507–3511.
[13]F. Yang, M. Wu, P. Ji, and J. Yang, "A robust variable step-size frequency-domain adaptive filter algorithm for acoustic echo cancellation," in Proc. 21th International Congress on Sound and Vibration (ICSV), July, 2014, pp. 4710–4717.
[14] R. Zhu, F. Yang, and J. Yang, "A variable coefficients adaptive IIR notch filter for bass enhancement," in Proc. 21th International Congress on Sound and Vibration (ICSV), July, 2014, pp. 4733–4740.
[15]F. Yang, M. Wu, P. Ji, and J. Yang, "A robust acoustic feedback suppression algorithm based on spectral subtraction," in Proc. the Acoustics, Apr.2012.




































科研活动
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 ） 中国与罗马尼亚科技合作委员会第43届例会交流项目“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