Variable Step-Size Discrete Cosine Transform Diffusion LMS over Multi-task Networks

Acoustic pyrometry is a comparatively advanced method of temperature measurement developed in recent years, which possesses the essential characteristics of traditional temperature measurement approach. Considering the interferences, like strong background noise, reverberation and so on, in boiler furnace, the LMS (least mean square) adaptive filter algorithm should be improved to meet certain environment above. In order to make the LMS algorithm have the characteristic of fast convergence and small steady state error, an improved, power-normalized and variable step-size discrete cosine transform LMS algorithm is proposed, which combines the power-normalized discrete cosine transform LMS algorithm with the variable step size LMS algorithm that uses the sliding forgetting-weighted window. The time delay estimation simulation in the strong-noise environment verifies the improved DCT-MVSS LMS algorithm can achieve good performance.

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Variable Step-size LMS Algorithm Based on Discrete Cosine Transform for Voice Signal Denoising

DEStech Transactions on Computer Science and Engineering ◽

10.12783/dtcse/aicae2019/31474 ◽

2019 ◽

Author(s):

Zhuo CHEN

Keyword(s):

Discrete Cosine Transform ◽

Lms Algorithm ◽

Variable Step Size ◽

Signal Denoising ◽

Step Size ◽

Cosine Transform ◽

Voice Signal ◽

Variable Step

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Improved LMS Adaptive Algorithm and its Application of Time Delay Estimation in Power Plant

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.668-669.699 ◽

2014 ◽

Vol 668-669 ◽

pp. 699-702

Author(s):

Shi Ping Zhang ◽

Guo Qing Shen ◽

Lian Suo An

Keyword(s):

Time Delay ◽

Discrete Cosine Transform ◽

Time Delay Estimation ◽

Lms Algorithm ◽

Delay Estimation ◽

Variable Step Size ◽

Step Size ◽

Boiler Furnace ◽

Cosine Transform ◽

Variable Step

Time delay estimation plays an important role in accuracy of leakage location in industrial boiler furnace. Considering about interference, like strong background noise, reverberation and so on, in boiler furnace, the LMS (least mean square) adaptive filter algorithm should be improved to meet certain environment above .In order to makes the LMS algorithm have the characteristic of fast convergence and small steady state error, an improved, power-normalized and variable step-size discrete cosine transform LMS algorithm is proposed, which combines the power-normalized discrete cosine transform LMS algorithm with the variable step size LMS algorithm that uses sliding forgetting-weighted window . The time delay estimation simulation in the strong-noise environment verifies the improved DCT-MVSS LMS algorithm can achieve good performance.

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Design of Gradient and Variable Step-Size for Fast Adaptive Notch Filter

2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) ◽

10.23919/apsipa.2018.8659449 ◽

2018 ◽

Cited By ~ 1

Author(s):

Yosuke Sugiura ◽

Tetsuya Shimamura

Keyword(s):

Notch Filter ◽

Variable Step Size ◽

Step Size ◽

Adaptive Notch Filter ◽

Variable Step

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A Variable Step-Size for Sparse Nonlinear Adaptive Filters

2020 28th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco47968.2020.9287864 ◽

2021 ◽

Author(s):

Alberto Carini ◽

Markus V. S. Lima ◽

Hamed Yazdanpanah ◽

Simone Orcioni ◽

Stefania Cecchi

Keyword(s):

Adaptive Filters ◽

Variable Step Size ◽

Step Size ◽

Variable Step

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Active control for vehicle interior noise using the improved iterative variable step-size and variable tap-length LMS algorithms

Noise Control Engineering Journal ◽

10.3397/1/376737 ◽

2019 ◽

Vol 67 (6) ◽

pp. 405-414 ◽

Cited By ~ 2

Author(s):

Ningning Liu ◽

Yuedong Sun ◽

Yansong Wang ◽

Hui Guo ◽

Bin Gao ◽

...

Keyword(s):

Steady State ◽

Noise Control ◽

Convergence Speed ◽

Interior Noise ◽

Lms Algorithm ◽

Variable Step Size ◽

Step Size ◽

Vehicle Interior ◽

Vehicle Interior Noise ◽

Variable Step

Active noise control (ANC) is used to reduce undesirable noise, particularly at low frequencies. There are many algorithms based on the least mean square (LMS) algorithm, such as the filtered-x LMS (FxLMS) algorithm, which have been widely used for ANC systems. However, the LMS algorithm cannot balance convergence speed and steady-state error due to the fixed step size and tap length. Accordingly, in this article, two improved LMS algorithms, namely, the iterative variable step-size LMS (IVS-LMS) and the variable tap-length LMS (VT-LMS), are proposed for active vehicle interior noise control. The interior noises of a sample vehicle are measured and thereby their frequency characteristics. Results show that the sound energy of noise is concentrated within a low-frequency range below 1000 Hz. The classical LMS, IVS-LMS and VT-LMS algorithms are applied to the measured noise signals. Results further suggest that the IVS-LMS and VT-LMS algorithms can better improve algorithmic performance for convergence speed and steady-state error compared with the classical LMS. The proposed algorithms could potentially be incorporated into other LMS-based algorithms (like the FxLMS) used in ANC systems for improving the ride comfort of a vehicle.

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