Results 251 to 260 of about 3,600,645 (297)

Timing recovery for UWB signals

IEEE Global Telecommunications Conference, 2004. GLOBECOM '04., 2005
The paper is concerned with timing recovery for ultra-wideband communications operating in a dense multipath environment. A timing algorithm is proposed that exploits the samples of the received signal to estimate the start of the individual frames with respect to a local reference (frame timing) and the location of the first frame in each symbol ...
CARBONELLI C., MENGALI, UMBERTO
openaire   +2 more sources

Resolution analysis in signal recovery

1995 International Conference on Acoustics, Speech, and Signal Processing, 2002
Resolution analysis for the problem of signal recovery from finitely many linear samples is the subject of the paper. The classical Rayleigh limit serves only as a lower bound on resolution since it does not assume any recovery strategy and is based only on observed data.
Satya Dharanipragada, K. S. Arun
openaire   +2 more sources

Sequential Signals of Recession and Recovery

The Journal of Business, 1982
This paper describes a sequential procedure for identifying the beginning and ending dates of business cycle recessions as promptly and accurately as practicable. Its origin lies in a study in progress for the Economic Development Administration (EDA), U.S.
Zarnowitz, Victor, Moore, Geoffrey H
openaire   +1 more source

Signal Recovery and the Large Sieve

SIAM Journal on Applied Mathematics, 1992
Several inequalities concerning the fraction of a bandlimited function's \(L_ p\) norm that can be concentrated on any set of small ``Nyquist density'' are given. Based on these inequalities the authors present two very interesting applications: a) a bandlimited function corrupted by impulsive noise can be reconstructed perfectly provided the noise is ...
Donoho, D. L., Logan, B. F.
openaire   +2 more sources

On uniqueness of sparse signal recovery

Signal Processing, 2018
Abstract A basic issue of sparse signal recovery (SSR) is to explore the condition of the uniqueness with regard to the solution of the relevant optimization framework. However, the standard uniqueness conditions, such as spark condition, NSP (null space property), RIP (restricted isometry property) and mutual coherence condition, are with respect to
Xiao-Li Hu   +4 more
openaire   +1 more source

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