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 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%.

The Adaptive Filtering Algorithms for Engine’s Noise Cancellation in Speech Signals

2011 ◽  
Vol 130-134 ◽  
pp. 1323-1326
Author(s):  
Xiu Ying Zhao ◽  
Hong Yu Wang ◽  
De You Fu ◽  
Hai Shen Zhou
Keyword(s):  
Adaptive Filtering ◽  
Signal To Noise Ratio ◽  
Noise Cancellation ◽  
Speech Signals ◽  
Adaptive Noise Cancellation ◽  
Signal To Noise ◽  
Least Mean Squares ◽  
Signal Noise ◽  
Filtering Algorithm ◽  
Adaptive Noise

The presence of noise superimposed on a signal limits the receiver’s ability to correctly identify the intended signal. The principal of adaptive noise cancellation is to acquire an estimation of the unwanted interfering signal and subtract it from the corrupted signal. Noise cancellation operation is controlled adaptively with the target of achieving improved signal to noise ratio. This paper describes the Least Mean Squares (LMS) adaptive filtering algorithm. The algorithm was implemented in Matlab and was tested for noise cancellation in speech signals.

scholarly journals INFORMATION TRANSFER EFFECTIVENESS OF WARNING AND TELECOMMUNICATION SYSTEMS OF AUDIO-EXCHANGE UNDER NOISE CONDITIONS

2020 ◽  
Vol 2020 (5) ◽  
pp. 49-55
Author(s):  
Natalya Kholkina
Keyword(s):  
Speech Signal ◽  
Information Exchange ◽  
Communication Systems ◽  
Information Transfer ◽  
Generalized Polynomials ◽  
Signal Noise ◽  
Telecommunication Systems ◽  
Acoustic Speech Signal ◽  
Noise Ratio ◽  
The Impact

In the paper shown there is presented an approach to the solution of the problem of the effectiveness parameter assessment in telecommunication systems of operational and command communication, systems of warning speakerphone and audio-exchange. There are considered the matters of the dependence investigation of the acoustic speech signal/noise ratio to the assurance of the required syllabic legibility for the possibility to increase the function effectiveness of telecommunication systems and information exchange operated under complex noise situation. There is shown the dependence of formant legibility upon the meaning of average geometric frequencies in each i-th band of a frequency spectrum of acoustic speech signals. The degree of the impact upon syllabic legibility of the acoustic speech signal/noise ratio is shown. In the paper it is shown that for obtaining speech information with syllabic legibility higher than 93% required for complete perception by a subscriber it is necessary to ensure the acoustic signal/noise ratio at the level no less than 20 dB. The problems in the probability density approximation of acoustic signals with the use of generalized polynomials on function basis systems are presented.

Signal/Noise Ratio and Elemental Detectivity by Eels

1982 ◽  
Vol 40 ◽  
pp. 488-489
Author(s):  
R. F. Egerton
Keyword(s):  
Energy Loss ◽  
Electron Energy ◽  
Elemental Analysis ◽  
Electron Energy Loss Spectroscopy ◽  
Emission Spectroscopy ◽  
X Ray ◽  
Signal Noise ◽  
Characteristic Signal ◽  
Noise Ratio ◽  
Electron Energy Loss

An important parameter governing the sensitivity and accuracy of elemental analysis by electron energy-loss spectroscopy (EELS) or by X-ray emission spectroscopy is the signal/noise ratio of the characteristic signal.

ASSESSMENT OF THE SIGNAL/NOISE RATIO IN A BINARY SIGNAL

2012 ◽  
Vol 71 (5) ◽  
pp. 445-453
Author(s):  
M. D. Rasnikov ◽  
I. T. Rozhkov
Keyword(s):  
Signal Noise ◽  
Binary Signal ◽  
Noise Ratio

Case Study of Electro-Optical Probing Signal with High Signal-Noise Ratio

2019 ◽  
Author(s):  
Ryan Xiao ◽  
William Wang ◽  
Ang Li ◽  
Shengqiu Xu ◽  
Binghai Liu
Keyword(s):  
Failure Mode ◽  
High Signal ◽  
Signal Noise ◽  
Electrical Failure ◽  
Current Path ◽  
Probing Signal ◽  
Optical Probing ◽  
Noise Ratio ◽  
Case Collection

Abstract With the development of semiconductor technology and the increment quantity of metal layers in past few years, backside EFA (Electrical Failure Analysis) technology has become the dominant method. In this paper, abnormally high Signal Noise Ratio (SNR) signal captured by Electro-Optical Probing (EOP)/Laser Voltage Probing (LVP) from backside is shown and the cause of these phenomena are studied. Based on the real case collection, two kinds of failure mode are summarized, and simulated experiments are performed. The results indicate that when a current path from power to ground is formed, the high SNR signal can be captured at the transistor which was on this current path. It is helpful of this consequence for FA to identify the failure mode by high SNR signal.

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