Parallel Gaussian White Noise Generator Based on Cellular Automaton Theory and Box Muller Algorithm

2014 ◽  
Author(s):  
Yang Zhou ◽  
Ning Wang ◽  
Xin Jiang
Keyword(s):  
Cellular Automaton ◽  
White Noise ◽  
Gaussian White Noise ◽  
Noise Generator ◽  
Automaton Theory ◽  
White Noise Generator

A consideration of the effect of ear canal resonance and hearing loss upon white noise generators for tinnitus retraining therapy

1997 ◽  
Vol 111 (9) ◽  
pp. 810-813 ◽  
Author(s):  
David M. Baguley ◽  
Graham J. Beynon ◽  
Frances Thornton
Keyword(s):  
Hearing Loss ◽  
White Noise ◽  
Noise Generator ◽  
Major Advance ◽  
Ear Canal ◽  
Tinnitus Retraining Therapy ◽  
Hearing Sensitivity ◽  
Actual Spectrum ◽  
Retraining Therapy ◽  
White Noise Generator

AbstractTinnitus retraining therapy has been heralded as a major advance in the alleviation of tinnitus perception. A cornerstone of this technique is to use white noise produced by a white noise generator (WNG) over a period of several months in order to assist the patient to habituate to their tinnitus. There are three factors which influence the frequency spectrum of the perceived noise such that the perception of white noise from a WNG is unlikely. These factors are the actual spectrum of the emitted noise, the ear canal resonance of the patient and the hearing sensitivity of the patient.Advocates of tinnitus retraining therapy state that white noise is the optimal stimulation to assist habituation of tinnitus. This paper demonstrates that this optimal situation is unlikely to be achieved and that this may account for the long periods needed for patients to achieve benefit from the technique. The development of devices that allow for the above factors to be countered is suggested.

Bandoneon!

2021 ◽  
pp. 215-276
Author(s):  
You Nakai
Keyword(s):  
White Noise ◽  
Noise Generator ◽  
The Self ◽  
Entire Group ◽  
Möbius Strip ◽  
True Difference ◽  
White Noise Generator ◽  
Instrumental Complex ◽  
Peculiar Nature ◽  
Mobius Strip

Bandoneon! (a combine), performed in October 1966 as part of the 9 Evenings: Theatre and Engineering, has been regarded as Tudor’s first work as a composer. However, the conception of this piece was not only directly influenced by two other amplified bandoneon pieces he realized in the same year, Gordon Mumma’s Mesa and Lowell Cross’s Musica Instrumentalis, but had also started off as a realization of a “Mobius-Strip” composition by Mauricio Kagel. Moreover, most of the modular electronics in his setup were also used in other realizations around the same period. The true difference lies in how these common materials were used and to what ends. What the self-proclaimed effort to make a “giant white noise generator” from scratch brings to the fore is a synecdochical relationship between the modular instruments used and the larger instrumental complex they compose. The investigation of this coordination between the parts and the whole reveals a strange disappearance of an entire group of instruments considered central to the performance, a mystery that highlights the peculiar nature of Tudor’s “composition.”

scholarly journals Phase Congruential White Noise Generator

Algorithms ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 118
Author(s):  
Aleksei Deon ◽  
Oleg Karaduta ◽  
Yulian Menyaev
Keyword(s):  
White Noise ◽  
Random Variables ◽  
Noise Generator ◽  
Signal Generator ◽  
White Noise Process ◽  
New Approach ◽  
Noise Process ◽  
White Noise Generator ◽  
Phase Signal ◽  
Simulation Results

White noise generators can use uniform random sequences as a basis. However, such a technology may lead to deficient results if the original sequences have insufficient uniformity or omissions of random variables. This article offers a new approach for creating a phase signal generator with an improved matrix of autocorrelation coefficients. As a result, the generated signals of the white noise process have absolutely uniform intensities at the eigen Fourier frequencies. The simulation results confirm that the received signals have an adequate approximation of uniform white noise.

scholarly journals A Noise Generator for Embedded Circuits Testing

2004 ◽  
Vol 1 (1) ◽  
pp. 38-43
Author(s):  
Maria da Glória Flores ◽  
Marcelo Negreiros ◽  
Luigi Carro ◽  
Altamiro Susin
Keyword(s):  
White Noise ◽  
Input Signal ◽  
Spectral Response ◽  
Noise Generator ◽  
Test Method ◽  
Electronic Systems ◽  
Linear Filters ◽  
Analog To Digital ◽  
White Noise Generator ◽  
Reference Input

This paper describes the implementation of a white noise generator to be used as the input signal of a new method for testing analog-to-digital converters (ADCs) and linear filters. The main goal of this method is to avoid the comparison of the output signal with a known and very precise reference input. The proposed white noise generator is easily implemented, with less complexity than others excitation signals. The use of noise as the input signal avoids concerns about the inherent noise present in all electronic systems. The testing technique is based on the analysis of the spectral response of the CUT output. This paper covers the generation of the excitation signal, as well as simulation and practical results are presented to prove the efficiency of the test method.

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