Iteratively reweighted least-squares (IRLS) algorithms have been successfully used in compressive sensing to reconstruct sparse signals from incomplete linear measurements taken in nonsparse domains.â€¦ (More)

In compressive sensing, prior information about the sparse representation's support reduces the theoretical minimum number of measurements that allows perfect reconstruction. This theoretical lowerâ€¦ (More)

2004 IEEE International Conference on Acousticsâ€¦

2004

This paper introduces a factorization for the design of oversampled filter banks with linear phase and complex-valued coefficients. Our approach is based on the design of rectangular paraunitaryâ€¦ (More)

Despite the great popularity of critically-decimated filter banks, oversampled filter banks are useful in applications where data expansion is not a problem. We studied oversampled filter banks andâ€¦ (More)

We present a theoretical analysis and empirical evaluations of a novel set of techniques for computational cost reduction of classifiers that are based on learned transform and soft-threshold. Byâ€¦ (More)

Assessment of muscle fatigue involves the creation of indices based on the estimation of variables such as the instantaneous frequency (IF) and the instantaneous amplitude (IA), which can beâ€¦ (More)