Baltasar Beferull-Lozano

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Consider a set of correlated sources located at the nodes of a network, and a set of sinks that are the destinations for some of the sources. The minimization of cost functions which are the product of a function of the rate and a function of the path weig ...

We study the problem of A/D conversion and error-rate dependence of a class of non-bandlimited signals which have a finite rate of innovation, particularly, a continuous periodic stream of Diracs, characterized by a finite set of time positions and weights ...

In spite of the success of the standard wavelet transform (WT) in image processing in recent years, the efficiency of its representation is limited by the spatial isotropy of its basis functions built in the horizontal and vertical directions. One-dimensio ...

The standard separable 2-D wavelet transform (WT) has recently achieved a great success in image processing because it provides a sparse representation of smooth images. However, it fails to efficiently capture 1-D discontinuities, like edges or contours. ...

The standard separable two-dimensional (2-D) wavelet transform (WT) has recently achieved a great success in image processing because it provides a sparse representation of smooth images. However, it fails to capture efficiently one-dimensional (1-D) disco ...

We study the source coding problem in sensor networks deployed to monitor the evolution of spatio-temporal temperature distributions. The sensors sample the temperature field, quantize the samples and transmit the encoded samples through digital channels t ...

Sensor networks measuring correlated data are considered, where the task is to gather data from the network nodes to a sink. A specific scenario is addressed, where data at nodes are lossy coded with high-resolution, and the information measured by the nod ...

This paper presents a novel rotation-invariant image retrieval scheme based on a transformation of the texture information via a steerable pyramid. First, we fit the distribution of the subband coefficients using a joint alpha-stable sub-Gaussian model to ...

We consider the joint optimization of sensor placement and transmission structure for data gathering, where a given number of nodes need to be placed in a field such that the sensed data can be reconstructed at a sink within specified distortion bounds whi ...

Lattice networks are widely used in regular settings like grid computing, distributed control, satellite constellations, and sensor networks. Thus, limits on capacity, optimal routing policies, and performance with finite buffers are key issues and are add ...

We consider the problem of correlated data gathering by a network with a sink node and a tree based communication structure, where the goal is to minimize the total trans- mission cost of transporting the information collected by the nodes, to the sink nod ...

Baltasar Beferull-Lozano

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Networked Slepian-Wolf: Theory, Algorithms and Scaling Laws

Oversampled A/D Conversion and Error-Rate Dependence of Non-Bandlimited Signals with Finite Rate of Innovation

Directionlets: Anisotropic Multidirectional representation with separable filtering

Space-frequency quantization for image compression with directionlets

Low-Rate Reduced Complexity Image Compression using Directionlets

On Source Coding for Distributed Temperature Sensing with Shift-Invariant Geometries

Lossy Network Correlated Data Gathering with High-Resolution Coding

Rotation-Invariant Texture Retrieval with Gaussianized Steerable Pyramids

Power-Efficient Sensor Placement and Transmission Structure for Data Gathering under Distortion Constraints

Lattice Networks: Capacity Limits, Optimal Routing and Queueing Behavior

Network Correlated Data Gathering with Explicit Communication: NP-Completeness and Algorithms

Interaction Between Multiple Description Coding and Sensor Networks with Finite Buffers