TSP
2010
13 years 2 months ago
2010
Abstract--Time synchronization and localization are two important issues in wireless sensor networks. Although these two problems share many aspects in common, they are traditional...
TSP
2010
13 years 2 months ago
2010
Abstract--This paper investigates the impulse response estimation of linear time-invariant (LTI) systems when only noisy finitelength input-output data of the system is available. ...
TSP
2010
13 years 2 months ago
2010
In this paper, we propose the complex Gaussian scale mixture (CGSM) to model the complex wavelet coefficients as an extension of the Gaussian scale mixture (GSM), which is for real...
TSP
2010
13 years 2 months ago
2010
This paper proposes a linear transmitter design that aims at minimizing the packet error rate (PER) using partial channel state information at the transmitter (CSIT). The design is...
TSP
2010
13 years 2 months ago
2010
In multiple-input multiple-output (MIMO) systems, the use of many radio frequency (RF) and analog-to-digital converter (ADC) chains at the receiver is costly. Analog beamformers op...
TSP
2010
13 years 2 months ago
2010
The objective of this paper is twofold. The first part provides further insight in the statistical properties of the Welch power spectrum estimator. A major drawback of the Welch m...
TSP
2010
13 years 2 months ago
2010
An operational framework is developed for testing stationarity relatively to an observation scale, in both stochastic and deterministic contexts. The proposed method is based on a ...
TSP
2010
13 years 2 months ago
2010
Abstract--In this paper, we investigate various channel estimators that exploit channel sparsity in the time and/or Doppler domain for a multicarrier underwater acoustic system. We...
TSP
2010
13 years 2 months ago
2010
Channel estimation error and co-channel interference (CCI) problems are among the main causes of performance degradation in wireless networks. In this paper, we investigate the im...
TSP
2010
13 years 2 months ago
2010
In this paper, we present multiple novel applications for local intrinsic dimension estimation. There has been much work done on estimating the global dimension of a data set, typi...