scholarly journals EFFECTIVENESS INCREASE IN AUDIO EXCHANGE TELECOMMUNICATION SYSTEMS UNDER CONDITIONS OF EXTERNAL ACOUSTIC NOISE BY METHODS OF ADAPTIVE FILTERING

2019 ◽  
Vol 2019 (3) ◽  
pp. 71-77
Author(s):  
Юрий Кропотов ◽  
Yuriy Kropotov ◽  
Алексей Белов ◽  
Aleksey Belov ◽  
Александр Проскуряков ◽  
...  
Keyword(s):  
Adaptive Filtering ◽  
Information Exchange ◽  
Noise Suppression ◽  
Acoustic Noise ◽  
Interference Suppression ◽  
Speech Signals ◽  
Acoustic Interference ◽  
Telecommunication Systems ◽  
The Stability ◽  
Speech Information

Signal processing in the telecommunication systems of audioinformation exchange is conditioned on the requirement in the separation of useful speech acoustic information, in the increase of the verification of information perception by subscribers of a communication system, in the stability increase of telecommunication systems at the suppression of external acoustic interference and echosignal compensations. Therefore during designing telecommunication systems, in particular, speakerphone systems (SS) operating under conditions of an active impact of external acoustic interference and echosignals, there is specified a problem of the algorithm formation of efficient noise suppression for an essential “signal-noise” ratio support. The investigation object is design methods of adaptive algorithms for speech signals processing and acoustic interference suppression at the expense of the controlled change of a rejection area in the range from 0 to 300…1000Hz depending on an interference situation. The work aim is an investigation of the speech signals characteristics and acoustic noise of different nature and also problems consideration in the matter of an algorithm creation for adaptive filtering and suppression of external acoustic interference and echosignals. At that the increase of the “signal-acoustic interference” ratio in the systems of audioexchange telecommunications is carried out through the methods of adaptive filtering. The results obtained in the course of the investigations of different acoustic interference suppression show that through the method of linear filtering in the system of telecommunications of speech information exchange it is possible to ensure the essential ratio Rs/Rak.pom. >20 dB and, accordingly, an essential syllab-ic legibility S ≥ 93%.

scholarly journals Increasing signal/acoustic interference ratio in telecommunications audio exchange by adaptive filtering methods

2019 ◽  
pp. 271-276
Author(s):  
Y A Kropotov ◽  
A A Belov ◽  
A Y Prockuryakov
Keyword(s):  
Adaptive Filtering ◽  
Communication Systems ◽  
Acoustic Noise ◽  
Interpolation Polynomial ◽  
Speech Signals ◽  
Linear Filtering ◽  
Lagrange Interpolation Polynomial ◽  
Signal Noise ◽  
Acoustic Interference ◽  
Noise Ratio

The paper deals with the issues of increasing signal/noise ratio in telecommunication audio exchange systems. The study of characteristics of speech signals and acoustic noises, such as mathematical expectation, dispersion, relative intensity of acoustic speech signals and various types of acoustic noises and interference is carried out. It is shown that in the design of telecommunications systems, in particular loudspeaker systems operating under the influence of external acoustic noise of high intensity, it is necessary to solve the problem of developing algorithms to effectively suppress the above mentioned interference to ensure the necessary signal/noise ratio in communication systems. A mathematical model of the autocorrelation function of the speech signal by using the Lagrange interpolation polynomial of order 10, considered the creation of adaptive algorithms to suppress acoustic noise by linear filtering methods. Thus suppression of acoustic noises and hindrances is possible at the expense of operated change of area of a cutting in the interval from 0 Hz to 300-1000 Hz, depending on a hindrance conditions.

scholarly journals The syllable intelligibility in the system of information transmission by speech signals depending on the intensity of acoustic noise

2019 ◽  
pp. 277-282
Author(s):  
Yu A Kropotov ◽  
A A Belov ◽  
A A Kolpakov ◽  
A Yu Proskuryakov
Keyword(s):  
Acoustic Noise ◽  
Signal To Noise Ratio ◽  
Geometric Mean ◽  
Public Address ◽  
Signal To Noise ◽  
Relative Level ◽  
Telecommunication Systems ◽  
Articulation Index ◽  
Noise Ratio ◽  
Speech Information

The paper investigates the effect of the signal-to-noise ratio on syllable intelligibility under the intense influence of external acoustic interference when exchanging voice messages in telecommunication systems of public address systems. The article discusses the effect on the syllable intelligibility of the signal / external acoustic noise ratio, examines the effect of the integral articulation index, the dependence of the perception coefficient of formants on the relative level of formant intensity, the dependence of the formant parameter on the geometric mean frequency of the i-th spectrum of the speech signal. In accordance with the results of studies of the integral articulation index depending on the signal-to-noise ratio, a function of syllable intelligibility depending on the signal-to-noise ratio was obtained, using which it is possible to determine the maximum value of the output signal-to-noise ratio in the audio exchange telecommunications system to obtain a given syllable intelligibility. At the same time, experimentally determined the value of the signal-to-noise ratio in the telecommunications system of audio exchange to obtain a syllable intelligibility of at least 93% for ensure full perception of the transmitted speech information.

Convergence and stability analysis of the half thresholding based few-view CT reconstruction

2020 ◽  
Vol 28 (6) ◽  
pp. 829-847
Author(s):  
Hua Huang ◽  
Chengwu Lu ◽  
Lingli Zhang ◽  
Weiwei Wang
Keyword(s):  
Noise Suppression ◽  
Reconstructed Image ◽  
Reference Image ◽  
Projection Data ◽  
Ct Reconstruction ◽  
Reconstruction Algorithms ◽  
Ill Posed ◽  
Thresholding Algorithm ◽  
The Stability ◽  
Well Posed

AbstractThe projection data obtained using the computed tomography (CT) technique are often incomplete and inconsistent owing to the radiation exposure and practical environment of the CT process, which may lead to a few-view reconstruction problem. Reconstructing an object from few projection views is often an ill-posed inverse problem. To solve such problems, regularization is an effective technique, in which the ill-posed problem is approximated considering a family of neighboring well-posed problems. In this study, we considered the {\ell_{1/2}} regularization to solve such ill-posed problems. Subsequently, the half thresholding algorithm was employed to solve the {\ell_{1/2}} regularization-based problem. The convergence analysis of the proposed method was performed, and the error bound between the reference image and reconstructed image was clarified. Finally, the stability of the proposed method was analyzed. The result of numerical experiments demonstrated that the proposed method can outperform the classical reconstruction algorithms in terms of noise suppression and preserving the details of the reconstructed image.

An Improved Adaptive Algorithm for INS/GPS System

2013 ◽  
Vol 397-400 ◽  
pp. 1606-1610 ◽  
Author(s):  
Li Dong Wang ◽  
Ying Zhao ◽  
Ni Zhang
Keyword(s):  
Adaptive Filtering ◽  
Adaptive Filter ◽  
Adaptive Algorithm ◽  
Initial Conditions ◽  
Forgetting Factor ◽  
Kalman Filter Algorithm ◽  
Simulation Results ◽  
The Stability ◽  
Gps System

In INS/GPS system, the changing of initial conditions and the quality of the data can affect the convergence of the conventional Kalman filter algorithm. Sage-Husa adaptive filter algorithm is adopted in the INS/GPS system in this paper. The effecting of the forgetting factor to the improved Sage-Husa adaptive filter algorithm is studied and the simulation results show that when the forgetting factor taken near 0.97, the adaptive filtering result is best, the stability of the system is guaranteed and the convergent speed of error can be reduced.

Acoustic noise suppression for speech enhancement

2001 ◽  
Vol 110 (5) ◽  
pp. 2747-2747
Author(s):  
David V. Anderson ◽  
Phil Spencer Whitehead ◽  
Mark Clements
Keyword(s):  
Speech Enhancement ◽  
Noise Suppression ◽  
Acoustic Noise
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