LOW-COMPLEXITY NOISE POWER SPECTRAL DENSITY ESTIMATION FOR HARSH AUTOMOBILE ENVIRONMENTS

被引:0
|
作者
Baasch, Christin [1 ]
Rajan, Vasudev Kandade [1 ]
Krini, Mohamed [2 ]
Schmidt, Gerhard [1 ]
机构
[1] Univ Kiel, Digital Signal Proc & Syst Theory, Kiel, Germany
[2] Paragon AG, Delbrueck, Germany
关键词
TRACKING;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
In this paper a simple yet robust noise power spectral density estimation algorithm is presented. The motivation for the algorithm developed here is the harsh noise environment present in automobiles along with the need to keep the complexity low for real-time implementations. The scheme is based on a multiplicative estimator in which multiple increment and decrement time-constants are utilized. The time-constants are chosen based on noise-only and speech-like situations. Further, by observing the long-term "trend" of the noisy input spectrum, suitable time-constants are chosen which reduces the tracking delay significantly. The trend factor is measured taking into account the dynamics of speech. Evaluation of the proposed algorithm and comparisons with state of the art systems will be performed in the context of varying automobile noises.
引用
收藏
页码:218 / 222
页数:5
相关论文
共 50 条
  • [1] Low-complexity Power Spectral Density Estimation
    Balasaraswathy, N.
    Rajavel, R.
    [J]. ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY ALGORITHMS IN ENGINEERING SYSTEMS, VOL 2, 2015, 325 : 273 - 282
  • [2] Low-Complexity Welch Power Spectral Density Computation
    Parhi, Keshab K.
    Ayinala, Manohar
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2014, 61 (01) : 172 - 182
  • [3] A LOW-COMPLEXITY NOISE ESTIMATION ALGORITHM BASED ON SMOOTHING OF NOISE POWER ESTIMATION AND ESTIMATION BIAS CORRECTION
    Yu, Rongshan
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, : 4421 - 4424
  • [4] A Low-Complexity Algorithm for OFDM Phase Noise Estimation
    Wang, Zhongju
    Babu, Prabhu
    Palomar, Daniel P.
    [J]. 2017 IEEE 18TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), 2017,
  • [5] AN EVALUATION OF NOISE POWER SPECTRAL DENSITY ESTIMATION ALGORITHMS IN ADVERSE ACOUSTIC ENVIRONMENTS
    Taghia, Jalal
    Taghia, Jalil
    Mohammadiha, Nasser
    Sang, Jinqiu
    Bouse, Vaclav
    Martin, Rainer
    [J]. 2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2011, : 4640 - 4643
  • [6] Joint Delay and Angle Estimation Algorithm with Low-Complexity in Multipath Environments
    Li, Haiwen
    Jiang, Chunqi
    Chen, Song
    Zhang, Jingzhi
    Haiwen, Li
    [J]. PROCEEDINGS OF 2018 IEEE 3RD ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC 2018), 2018, : 2505 - 2509
  • [7] Low-Complexity OFDM Spectral Precoding
    Kant, Shashi
    Fodor, Gabor
    Bengtsson, Mats
    Goransson, Bo
    Fischione, Carlo
    [J]. 2019 IEEE 20TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC 2019), 2019,
  • [8] Low-Complexity Seizure Prediction From iEEG/sEEG Using Spectral Power and Ratios of Spectral Power
    Zhang, Zisheng
    Parhi, Keshab K.
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2016, 10 (03) : 693 - 706
  • [9] MINIMUM SUBSPACE NOISE TRACKING FOR NOISE POWER SPECTRAL DENSITY ESTIMATION
    Triki, Mahdi
    Janse, Kees
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, : 29 - 32
  • [10] Power Spectral Density Estimation of Radiated Noise with Sparse Spectral Fitting
    Jiang, Guoqing
    Sun, Chao
    Liu, Xionghou
    Jiang, Guangyu
    Duan, Wenjun
    [J]. GLOBAL OCEANS 2020: SINGAPORE - U.S. GULF COAST, 2020,