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Distributed Image Compression in Camera Networks
(2004-05-01)
Dense networks of wireless, battery-powered sensors are now feasible thanks to recent hardware advances, but key issues such as power consumption plague widespread deployment. Fortunately, in a dense network of sensors, cross-sensor correlation can be exploited to reduce the communication power consumption. In this thesis, we examine a novel technique ...
Multiscale Connection-Level Analysis of Network Traffic
(2002-11-01)
Network traffic exhibits drastically different statistics, ranging from nearly Gaussian marginals and long range dependence at very large time scales to highly non-Gaussian marginals and multifractal scaling on small scales. This behavior can be explained by decomposing traffic into two components according to the connection bandwidth: the small ...
Optimal digital communication of analog signals
(2005-03-01)
In this paper, the problem of optimally communicating analog sources using a bandwidth and power limited digital system is considered. We propose and analyze optimal combined source-channel coding schemes that jointly optimize the compression of the source while controlling the individual bit error probabilities to minimize the mean-squared distortion ...
Joint Distributions for Arbitrary Variables
(1994-10-01)
We compare the methods of Cohen (1971) and of Baraniuk and Jones (see Proc. IEEE ICASSP-93, p.320-323, 1993) for obtaining joint distributions for arbitrary variables. We show that the two methods produce identical results for variables whose associated operators are obtained via a unitary transformation of the time and frequency operators. In addition, ...
Joint Compression and Speckle Reduction of SAR Images using Embedded Zerotree Models
(1996-03-01)
We propose a new method for speckle reduction in synthetic aperture radar (SAR) imagery based on the embedded zerotree image compression algorithm. This new approach to denoising is inspired by the realization that the wavelet transform domain and the zero-tree image model are natural for both compression and denoising. We illustrate the proposed ...
Quaternion Wavelets for Image Analysis and Processing
(2004-10-01)
Using the concepts of two-dimensional Hubert transform and analytic signal, we construct a new quaternion wavelet transform (QWT). The QWT forms a tight frame and can be efficiently computed using a-2-D dual-tree filter bank. The QWT and the 2-D complex wavelet transform (CWT) are related by a unitary transformation, but the former inherits the ...
Lattice Algorithms for Compression Color Space Estimation in JPEG Images
(2001-08-01)
JPEG (Joint Photographic Experts Group) is an international standard to compress
and store digital color images [5]. Given a color image that was previously
JPEG-compressed in some hidden color space, we aim to estimate this unknown
compression color space from the image. This knowledge is potentially useful for
color image enhancement and JPEG ...
A Radially-Gaussian, Signal-Dependent Time-Frequency Representation
(1991-04-01)
An optimization formulation for designing signal-dependent kernels that are based on radially Gaussian functions is presented. The method is based on optimality criteria and is not ad hoc. The procedure is automatic. The optimization criteria are formulated so that the resulting time-frequency distribution (TFD) is insensitive to the time scale and ...
Terahertz Reflection Imaging using Kirchhoff Migration
(2001-10-01)
We describe a new imaging method that uses single-cycle pulses of terahertz (THz) radiation. This technique emulates data-collection and image-processing procedures developed for geophysical prospecting and is made possible by the availability of fiber-coupled THz receiver antennas. We use a simple migration procedure to solve the inverse problem; ...
Design of Adaptive Overlays for Multi-scale Communication in Sensor Networks
(2005-06-01)
In wireless sensor networks, energy and communication bandwidth are precious resources. Traditionally, layering has been used as a design principle for network stacks; hence routing protocols assume no knowledge of the application behavior in the sensor node. In resource-constrained sensor-nodes, there is simultaneously a need and an opportunity to ...