Detection of reflections in different room acoustical conditions using generalized cross correlation phase transform

2017 ◽  
Vol 142 (4) ◽  
pp. 2522-2522
Author(s):  
HyunIn Jo ◽  
Jong Gak Seo ◽  
Jin Yong Jeon
Keyword(s):  
Cross Correlation ◽  
Phase Transform

scholarly journals Performance Evaluation of Traditional Signal Processing Methods in Localizing Tursiops truncatus Whistles in a Reverberant Aquatic Environment

2019 ◽  
Author(s):  
SF Woodward ◽  
MO Magnasco
Keyword(s):  
Signal Processing ◽  
Aquatic Environment ◽  
Tursiops Truncatus ◽  
Cross Correlation ◽  
Correlation Method ◽  
Extraction Methods ◽  
Phase Transform ◽  
Atlantic Bottlenose Dolphin ◽  
Signature Whistles ◽  
Signal Processing Methods

AbstractRelative to individually distinctive signature whistles, little is known about the “non-signature” calls – particularly the non-signature whistles – of the common Atlantic bottlenose dolphin, Tursiops truncatus. While such calls are suspected to serve social function, tracking their exchange among conspecifics and correlating their usage with non-acoustic behavior has proven challenging, given both their relative scarcity in the dolphin repertoire and their characteristic shared use among dolphins, which precludes the unique identification of callers on the basis of whistle properties alone. Towards the goal of robustly identifying the callers of non-signature whistles (equivalently, attributing non-signature whistles to callers), we present a new, long-term audiovisual monitoring system designed for and tested at the Dolphin Discovery exhibit of the National Aquarium in Baltimore, Maryland. In this paper, we confirm the system’s ability to spatially localize impulse-like sounds using traditional signal processing approaches that have already been used to localize dolphin echolocation clicks. We go on to provide the first rigorous experimental evaluation of the component time-difference-of-arrival-(TDOA) extraction methods on whistle-like tonal sounds in a (reverberant) aquatic environment, showing that they are generally not suited to sound localization. Nevertheless, we find that TDOA extraction under these circumstances is performed significantly better using a Generalized Cross-Correlation with Phase Transform (GCC-PHAT) method than a standard circular cross-correlation method, a potentially important result.

scholarly journals Efficient and robust approaches for three-dimensional sound source recognition and localization using humanoid robots sensor arrays

2020 ◽  
Vol 17 (4) ◽  
pp. 172988142094135
Author(s):  
Hao Chen ◽  
Chengju Liu ◽  
Qijun Chen
Keyword(s):  
Sound Source ◽  
Humanoid Robot ◽  
Cross Correlation ◽  
Three Dimensional ◽  
Sensor Arrays ◽  
Humanoid Robots ◽  
Phase Transform ◽  
Distance Weighting ◽  
Angle Space ◽  
Localization Performance

Efficient and robust sound source recognition and localization is one of the basic techniques for humanoid robots in terms of reaction to environments. Due to the fixed sensor arrays and limited computation resources in humanoid robots, there comes challenge for sound source recognition and localization. This article proposes a sound source recognition and localization framework to realize real-time and precise sound source recognition and localization system using humanoid robots’ sensor arrays. The type of the audio is recognized according to the cross-correlation function. And steered response power-phase transform function in discrete angle space is used to search the sound source direction. The sound source recognition and localization framework presents a new multi-robots collaboration system to get the precise three-dimensional sound source position and introduces a distance weighting revision way to optimize the localization performance. Additionally, the experiment results carried out on humanoid robot NAO demonstrate that the proposed approaches can recognize and localize the sound source efficiently and robustly.

Noise robust bird call localisation using the generalised cross-correlation with phase transform in the wavelet domain

2019 ◽  
Vol 146 (6) ◽  
pp. 4650-4663 ◽  
Author(s):  
Benjamin Ollivier ◽  
Alexander Pepperell ◽  
Zachary Halstead ◽  
Yusuke Hioka
Keyword(s):  
Cross Correlation ◽  
Wavelet Domain ◽  
Phase Transform ◽  
Bird Call ◽  
Noise Robust

scholarly journals Study on time delay estimation in boiler acoustic temperature measurement based on third correlation PHAT-β

2021 ◽  
Vol 257 ◽  
pp. 01025
Author(s):  
Mianmian Wang ◽  
Wenhong Liu ◽  
Keni Xu
Keyword(s):  
Time Delay ◽  
Power Plant ◽  
Cross Correlation ◽  
Correlation Method ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Value Of Time ◽  
Phase Transform ◽  
Power Plant Boiler ◽  
Plant Boiler

In order to accurately measure the temperature of power plant boiler, a new algorithm of time delay was proposed based on third correlation and phase transform weighting on the basis of the research of traditional cross-correlation method and generalized cross-correlation. Small peaks can be weakened with the help of phase transform weighting and the addition of exponential coefficient β. The simulation result shows that the PHAT-β algorithm based on third correlation can accurately measure the value of time delay estimation compared with first correlation, second correlation and traditional third correlation, so as to improve the accurancy of temperature of power plant boiler.

Artefact in 20Å-Resolution Electron Images of Negatively Stained Twodimensional Membrane Protein Crystals

1982 ◽  
Vol 40 ◽  
pp. 92-93
Author(s):  
Douglas L. Dorset ◽  
Barbara Moss
Keyword(s):  
Electron Scattering ◽  
Cross Correlation ◽  
Transmission Function ◽  
Group Symmetry ◽  
Asymmetric Structure ◽  
Object Model ◽  
Phase Object ◽  
Computing Systems ◽  
Resolution Electron ◽  
Plane Group

A number of computing systems devoted to the averaging of electron images of two-dimensional macromolecular crystalline arrays have facilitated the visualization of negatively-stained biological structures. Either by simulation of optical filtering techniques or, in more refined treatments, by cross-correlation averaging, an idealized representation of the repeating asymmetric structure unit is constructed, eliminating image distortions due to radiation damage, stain irregularities and, in the latter approach, imperfections and distortions in the unit cell repeat. In these analyses it is generally assumed that the electron scattering from the thin negativelystained object is well-approximated by a phase object model. Even when absorption effects are considered (i.e. “amplitude contrast“), the expansion of the transmission function, q(x,y)=exp (iσɸ (x,y)), does not exceed the first (kinematical) term. Furthermore, in reconstruction of electron images, kinematical phases are applied to diffraction amplitudes and obey the constraints of the plane group symmetry.

Application of cross correlation to HREM images of surfaces

1987 ◽  
Vol 45 ◽  
pp. 754-755
Author(s):  
D. E. Luzzi ◽  
L. D. Marks ◽  
M. I. Buckett
Keyword(s):  
Cross Correlation ◽  
A Priori ◽  
Matrix Material ◽  
Correlation Method ◽  
Accurate Knowledge ◽  
Complex Image ◽  
Fourier Filtering ◽  
The Matrix ◽  
Low Pass ◽  
Data Reduction Technique

As the HREM becomes increasingly used for the study of dynamic localized phenomena, the development of techniques to recover the desired information from a real image is important. Often, the important features are not strongly scattering in comparison to the matrix material in addition to being masked by statistical and amorphous noise. The desired information will usually involve the accurate knowledge of the position and intensity of the contrast. In order to decipher the desired information from a complex image, cross-correlation (xcf) techniques can be utilized. Unlike other image processing methods which rely on data massaging (e.g. high/low pass filtering or Fourier filtering), the cross-correlation method is a rigorous data reduction technique with no a priori assumptions.We have examined basic cross-correlation procedures using images of discrete gaussian peaks and have developed an iterative procedure to greatly enhance the capabilities of these techniques when the contrast from the peaks overlap.

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