Authors:
Tony Gustafsson,
Hemanshu R. Pota,
Jonathan Vance,
Bhaskar D. Rao,
Mohan M. Trivedi,
Volume: 1, Page 5184 Paper number 2189
Abstract:
This paper presents a method to obtain room transfer functions for
applications in the design of intelligent systems for video conferencing.
In these applications the acoustical dynamics, for example, affects
the quality of the recorded speech signal and the ability to achieve
accurate source localization. The first part of the paper gives results
on the identification of parameterized room transfer functions. The
second part presents a method to extrapolate room transfer functions
from the identified models. The extrapolation is achieved by getting
a functional form of the transfer function parameters which depends
on the speaker and the microphone locations.
Authors:
Tomas McKelvey,
Volume: 1, Page 5190 Paper number 2018
Abstract:
The exact relation between the DFT of the input and the DFT of the
output of a finite dimensional MIMO linear system is established for
the case of an arbitrary excitation signal and finite number of signal
samples. The derived expression also includes the colored noise case.
Authors:
Meir Pachter,
Volume: 1, Page 5192 Paper number 1500
Abstract:
A novel kinematic differential GPS algorithm is presented. Specifically,
the accurate relative and absolute positioning of a team, or formation,
of mobile vehicles is considered. The measurement situation on hand
is correctly modeled, a stochastic framework is developed, and a novel
centralized estimation algorithm is rigorously derived.
Authors:
Oleg Yakimenko,
Isaac Kaminer,
António M. Pascoal,
Wei Kang,
Volume: 1, Page 5198 Paper number 1027
Abstract:
This paper addresses the problem of navigation system design for autonomous
aircraft landing. New nonlinear filter structures are introduced to
estimate the position of an aircraft with respect to a possibly moving
landing site, such as a Naval vessel, based on measurements provided
by airborne vision and inertial sensors. Original results that address
this problem were presented earlier. In this paper these results are
extended to include stereo vision. A detailed example that illustrates
the use of the filters is also included.
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