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On transformation noise as a model for correlated noise
[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991The authors consider transformation noise processes, which are those that can be generated by passing an underlying noise process through a memoryless invertible nonlinearity. They point out the close relationship between the dependency structure of the transformation noise and that of the underlying noise.
Oscar C. Au, John B. Thomas
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The Journal of the Acoustical Society of America, 1974
A model has been developed for predicting median levels of traffic noise in a variety of local conditions. Sound sources are grouped into two categories: major thoroughfares with average daily traffic volume greater than 5000 vehicles are considered individually as line sources with uniform distribution of traffic and all other streets are grouped into
J B, Malchaire, S W, Horstman
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A model has been developed for predicting median levels of traffic noise in a variety of local conditions. Sound sources are grouped into two categories: major thoroughfares with average daily traffic volume greater than 5000 vehicles are considered individually as line sources with uniform distribution of traffic and all other streets are grouped into
J B, Malchaire, S W, Horstman
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IMPLICIT MODELING OF NOISE VERSUS THE USE OF A FIXED NOISE MODEL
IFAC Proceedings Volumes, 1990Abstract In this paper two methods to take disturbances into account are discussed. The first method uses a fixed estimate T of the noise polynomial C of the ARMAX model. This approach is adopted by the Generalized Predictive Controller. The second method implicitly estimates the noise polynomial utilizing the implicit modeling theory.
A.R.M. Soeterboek +2 more
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A noise model for digitized data
IEEE Transactions on Instrumentation and Measurement, 2000The paper analyzes the overall conversion error of a noisy digitizer affected by Gaussian noise at its input or generated within the digitizer itself. It is shown that, under mild conditions concerning the ratio between the input noise standard deviation and the quantization step, the overall conversion error can be modeled by a Gaussian random ...
BERTOCCO, MATTEO +3 more
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Polarimetric and interferometric noise modelling
IEEE International Geoscience and Remote Sensing Symposium, 2003In this paper, a noise model for the extended six dimensions covariance matrix used in polarimetric synthetic aperture radar (SAR) interferometry is proposed. This noise model is able to interpret interferometric, as well as polarimetric noise characteristics for the diagonal and non-diagonal elements of the covariance matrix.
Carlos López-Martínez +2 more
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Noise modeling, noise experiment, and noise inversion
The Journal of the Acoustical Society of America, 2005Recent developments in inverting ambient noise to obtain bottom reflection properties originated from an understanding of noise behavior and from noise modeling. Sea-surface noise can be modeled equivalently as a ray, wave, or mode phenomenon, but often the ray or flux approach provides the most insight (explaining, e.g., the noise-notch or low ...
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Improving the modeling of the noise part in the harmonic plus noise model of speech
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008Harmonic + noise model (HNM) is a hybrid model of speech with a harmonic component and a noise component. While the harmonic part describes efficiently the periodicities in speech signals (voiced parts), modeling of the noise part introduces artifacts primarily because of the specific time-domain characteristics of noise in voiced speech. In this paper,
Yannis Pantazis, Yannis Stylianou
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AUTOMATION OF A NATIONAL NOISE MODEL
Inter-Noise 2022, 2023The United Kingdom Department for Food and Rural Affairs (Defra) commissioned the design and build of an environmental noise modelling system (NMS). The NMS has been developed to support Defra in developing its environmental noise evidence base by preparing national road and railway noise models.
James Trow +5 more
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On transformation noise : properties and modeling
Journal of the Franklin Institute, 1993Abstract Some properties are studied of the class of discrete time transformation noise which is generally non-Gaussian and correlated and is generated by passing another noise process through an invertible memoryless nonlinearity. In general, any discrete time noise process can be considered as transformation noise.
AU, OC, THOMAS, JB
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2017
Chapter 3 introduces the Box-Jenkins AutoRegressive Integrated Moving Average (ARIMA) noise modeling strategy. The strategy begins with a test of the Normality assumption using a Kolomogov-Smirnov (KS) statistic. Non-Normal time series are transformed with a Box-Cox procedure is applied.
Richard McCleary +2 more
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Chapter 3 introduces the Box-Jenkins AutoRegressive Integrated Moving Average (ARIMA) noise modeling strategy. The strategy begins with a test of the Normality assumption using a Kolomogov-Smirnov (KS) statistic. Non-Normal time series are transformed with a Box-Cox procedure is applied.
Richard McCleary +2 more
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