An inverse filtering study of Burmese creaky voice

1982 ◽  
Vol 72 (S1) ◽  
pp. S102-S102
Author(s):  
Hector R. Jaykin ◽  
Ian Maddieson
Keyword(s):  
Inverse Filtering ◽  
Creaky Voice

Modelling Of Transport And Capture Of Particles In A Porous Medium

2019 ◽  
pp. 56-60
Keyword(s):  
Porous Medium ◽  
Asymptotic Solution ◽  
Retention Mechanism ◽  
Inverse Filtering ◽  
Underground Structures ◽  
Loose Soil ◽  
Monodisperse Suspension ◽  
Homogeneous Porous Medium ◽  
Model Equations ◽  
Pass Through

The study of the transport and capture of particles moving in a fluid flow in a porous medium is an important problem of underground hydromechanics, which occurs when strengthening loose soil and creating watertight partitions for building tunnels and underground structures. A one-dimensional mathematical model of long-term deep filtration of a monodisperse suspension in a homogeneous porous medium with a dimensional particle retention mechanism is considered. It is assumed that the particles freely pass through large pores and get stuck at the inlet of small pores whose diameter is smaller than the particle size. The model takes into account the change in the permeability of the porous medium and the permissible flow through the pores with increasing concentration of retained particles. A new spatial variable obtained by a special coordinate transformation in model equations is small at any time at each point of the porous medium. A global asymptotic solution of the model equations is constructed by the method of series expansion in a small parameter. The asymptotics found is everywhere close to a numerical solution. Global asymptotic solution can be used to solve the inverse filtering problem and when planning laboratory experiments.

scholarly journals Inverse Filtering for Hidden Markov Models With Applications to Counter-Adversarial Autonomous Systems

2020 ◽  
Vol 68 ◽  
pp. 4987-5002
Author(s):  
Robert Mattila ◽  
Cristian R. Rojas ◽  
Vikram Krishnamurthy ◽  
Bo Wahlberg
Keyword(s):  
Hidden Markov Models ◽  
Markov Models ◽  
Hidden Markov ◽  
Autonomous Systems ◽  
Inverse Filtering

Application of harmonic analysis and standard inverse filtering to a dta system

1986 ◽  
Vol 108 ◽  
pp. 337-343
Author(s):  
J. Font ◽  
J. Muntasell ◽  
J. Navarro ◽  
J.LI. Tamarit ◽  
E. Cesari
Keyword(s):  
Harmonic Analysis ◽  
Inverse Filtering

IMPROVING EXTRACTION OF IMPULSE RESPONSE FUNCTIONS USING STATIONARY WAVELET SHRINKAGE IN TERAHERTZ REFLECTION IMAGING

2010 ◽  
Vol 09 (04) ◽  
pp. 387-394 ◽  
Author(s):  
YANG CHEN ◽  
YIWEN SUN ◽  
EMMA PICKWELL-MACPHERSON
Keyword(s):  
Experimental Data ◽  
Impulse Response ◽  
Response Function ◽  
Impulse Response Function ◽  
Terahertz Imaging ◽  
Impulse Response Functions ◽  
Response Functions ◽  
Inverse Filtering ◽  
Wavelet Shrinkage ◽  
Gaussian Filtering

In terahertz imaging, deconvolution is often performed to extract the impulse response function of the sample of interest. The inverse filtering process amplifies the noise and in this paper we investigate how we can suppress the noise without over-smoothing and losing useful information. We propose a robust deconvolution process utilizing stationary wavelet shrinkage theory which shows significant improvement over other popular methods such as double Gaussian filtering. We demonstrate the success of our approach on experimental data of water and isopropanol.

HIGH FREQUENCY MEASUREMENTS OF CUTTING FORCES IN MILLING BY INVERSE FILTERING

2012 ◽  
Vol 16 (4) ◽  
pp. 487-500 ◽  
Author(s):  
Martin Magnevall ◽  
Mikael Lundblad ◽  
Kjell Ahlin ◽  
Göran Broman
Keyword(s):  
Cutting Forces ◽  
High Frequency ◽  
Inverse Filtering ◽  
Frequency Measurements
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