Active control for periodic noise wih variable fundamental. An extended DXHS algorithm with frequency tracking ability.

Shimada, Yasuyuki; Nishimura, Yoshitaka; Usagawa, Tsuyoshi; Ebata, Masanao

doi:10.1250/ast.20.301

Cited by 14 publications

(10 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Theorem 1: [11] The original system of a k (t) and φ k (t) in (8) and (9) and its averaged system of a avk (t) and φ avk (t) in (14) and (15) have the same equilibrium points (a eqk , φ eqk ) in (10), which is asymptotically stable if for k = 1, 2, · · · , m…”

Section: Stability Property Of the New Dxhs Algorithmmentioning

confidence: 99%

“…Then some new techniques have been proposed to improve FxLMS algorithms (e.g., [6], [7], [8] ). On the other hand, in order to overcome the issue of FxLMS, the delayed-x harmonics synthesiser (DXHS) algorithm has been proposed [9], [10], and DXHS algorithm also has been used widely. However, stability consideration in DXHS algorithm is still not enough because it sometimes becomes unstable due to estimation errors of the secondary path's transfer function.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

New DXHS algorithm for periodic vibration control — Numerical simulation and experimental result

Hayakawa

Nakashima

Tsui

et al. 2015

2015 10th Asian Control Conference (ASCC)

View full text Add to dashboard Cite

The new type of active noise feedforward control (new DXHS algorithm) was proposed and its local stability was analysed to show that the new algorithm can overcome drawbacks of ltered-x least mean square (FxLMS) algorithm as well as delayed-x harmonics synthesiser (DXHS) algorithm. This paper veri es with simulations and experiments how well the new DXHS algorithm works. For the simulations and the experiments, the new DXHS algorithm is transfered from the continuous-time version to the discrete-time version. By observing global behaviors, it is made clear some issues on transient responses until the adjustable parameters converge to the stable equilibrium points.

show abstract

Section: Stability Property Of the New Dxhs Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

New DXHS algorithm for periodic vibration control — Numerical simulation and experimental result

Hayakawa

Nakashima

Tsui

et al. 2015

2015 10th Asian Control Conference (ASCC)

View full text Add to dashboard Cite

show abstract

“…The Delayed-X Harmonics Synthesizer (DXHS) algorithm is an adaptive algorithm specialized for the control of a synchronous signal [14].…”

Section: B Dxhs Algorithmmentioning

confidence: 99%

High-Precision Harmonic Distortion Level Measurement of a Loudspeaker Using Adaptive Filters in a Noisy Environment

Fujioka

Nagata

Abé

2015

IEEE/ACM Trans. Audio Speech Lang. Process.

View full text Add to dashboard Cite

The harmonic distortion level (HDL), an important criterion used to evaluate loudspeaker performance, can usually be measured using spectral analysis. However, spectral analysis entails great computational complexity. Furthermore, long measurement times are necessary to measure HDL accurately in a noisy environment. Therefore, we proposed the HDL measurement technique for a loudspeaker using an adaptive filter. This measurement technique can measure HDL as accurately as spectral analysis using fast Fourier transform (FFT). Furthermore, its computational complexity is much less than that of spectral analysis. Nevertheless, this measurement technique requires a long measurement time to assess the convergence of filter coefficients. This paper presents a description of the new HDL measurement technique of a loudspeaker using plural adaptive filters. The proposed measurement technique can measure HDL more accurately than spectral analysis in a noisy environment. We evaluated the performance of the proposed measurement technique using computer simulations. Results based on computer simulations show that the proposed measurement technique is more effective than spectral analysis in an acoustic environment with background noise.

show abstract

“…The algorithm for the extractor is based on the DXHS algorithm (Shimada et al, 1999), but we improve the operation performance by adding new abilities and functions; (i) improvement of readiness for frequency estimation by introduction of a variable step-size algorithm, (ii) limitation of frequency-estimation bandwidth, and (iii) judging system whether one signal is necessary or not. …”

Section: Design Of the Extractormentioning

confidence: 99%

Adaptive Signal Selection Control Based on Adaptive FF Control Scheme and Its Applications to Sound Selection Systems

Okumura¹,

Sano²

2011

Numerical Simulations of Physical and Engineering Processes

View full text Add to dashboard Cite

Active control for periodic noise wih variable fundamental. An extended DXHS algorithm with frequency tracking ability.

Cited by 14 publications

References 4 publications

New DXHS algorithm for periodic vibration control — Numerical simulation and experimental result

New DXHS algorithm for periodic vibration control — Numerical simulation and experimental result

High-Precision Harmonic Distortion Level Measurement of a Loudspeaker Using Adaptive Filters in a Noisy Environment

Adaptive Signal Selection Control Based on Adaptive FF Control Scheme and Its Applications to Sound Selection Systems

Contact Info

Product

Resources

About

Active control for periodic noise wih variable fundamental. An extended DXHS algorithm with frequency tracking ability.

Cited by 14 publications

References 4 publications

New DXHS algorithm for periodic vibration control &#x2014; Numerical simulation and experimental result

New DXHS algorithm for periodic vibration control &#x2014; Numerical simulation and experimental result

High-Precision Harmonic Distortion Level Measurement of a Loudspeaker Using Adaptive Filters in a Noisy Environment

Adaptive Signal Selection Control Based on Adaptive FF Control Scheme and Its Applications to Sound Selection Systems

Contact Info

Product

Resources

About

New DXHS algorithm for periodic vibration control — Numerical simulation and experimental result

New DXHS algorithm for periodic vibration control — Numerical simulation and experimental result