168
Voted
TSP
2010
15 years 1 days ago
2010
The problem of distributed average consensus with quantized data is considered in this correspondence. Conventional consensus algorithms suffer from divergence when quantization er...
153
Voted
TSP
2010
15 years 1 days ago
2010
A general deflation framework is described for the separation of a desired signal subspace of arbitrary dimensions from noisy multichannel observations. The method simultaneously u...
135
Voted
TSP
2010
15 years 1 days ago
2010
We consider the problem of recursively and causally reconstructing time sequences of sparse signals (with unknown and time-varying sparsity patterns) from a limited number of noisy...
130
Voted
TSP
2010
15 years 1 days ago
2010
The generalized Gaussian distribution (GGD) provides a flexible and suitable tool for data modeling and simulation, however the characterization of the complex-valued GGD, in parti...
166
Voted
TSP
2010
15 years 1 days ago
2010
Spectrum sharing employs dynamic allocation of frequency resources for a more efficient use of the radio spectrum. Despite its appealing features, this technology inevitably compli...
156
Voted
TSP
2010
15 years 1 days ago
2010
In this paper, we consider mixture approaches that adaptively combine outputs of several parallel running adaptive algorithms. These parallel units can be considered as diversity b...
179
Voted
TSP
2010
15 years 1 days ago
2010
This paper is concerned with the performance of a regenerative relaying protocol on fading wireless channels with imperfect channel knowledge at the receivers. Assuming a single s...
122
Voted
TSP
2010
15 years 1 days ago
2010
Abstract--Multiple-input
138
Voted
TSP
2010
15 years 1 days ago
2010
This paper puts to use concepts and tools introduced in Part I to address a wide spectrum of noncausal sampling and reconstruction problems. Particularly, we follow the systemtheor...
166
Voted
TSP
2010
15 years 1 days ago
2010
We consider the problem of distributed channel estimation in a sensor network which employs a random sleep strategy to conserve energy. If the N network nodes are randomly placed a...