Now showing items 1-6 of 6
A Super-Resolution Parameter Estimation Algorithm for Multi- Dimensional NMR Spectroscopy
In this paper, we will propose a super-resolution scheme for the parameter estimation of multi-dimensional (M-D) NMR spectroscopy. M-D NMR signals can be modeled as the summation of M-D damped sinusoids. The frequencies ...
On the Convergence of Blind Channel Equalization
Baud-rate blind equalization algorithms may converge to undesirable stable equilibria due to different reasons. One is the use of FIR filter as an equalizer. It is proved in this paper that this kind of local minima exist ...
Improved Parameter Estimation Schemes for Damped Sinusoidal Signals Based on Low-Rank Hankel Approximation
The parameter estimation of damped sinusoidal signals is an important issue in spectral analysis and many applications. The existing algorithms, such as the KT algorithms  and the TLS algorithms , are based on the ...
Adaptive Blind Multi-Channel Equalization for Multiple Signals Separation
This paper investigates adaptive blind equalization for multiple- input and multiple-output (MIMO) channels and its application to blind separation of multiple signals received by antenna arrays in communication systems. ...
A Fast Minimal-Symbol Subspace Approach to Blind Identification and Equalization
A subspace-based blind channel identification algorithm using only the fact that the received signal can be oversampled is proposed. No direct use is made of the statistics of the input sequence or even of the fact that ...
Static and Dynamic Convergence Behavior of Adaptive Blind Equalizers
This paper presents a theoretical analysis of the static and dynamic convergence behavior for a general class of adaptive blind equalizers. We first study the properties of prediction error functions of blind equalization ...