نتایج جستجو برای: incoherent signal subspace

تعداد نتایج: 440299  

Journal: :International Journal of Distributed Sensor Networks 2013

Journal: :Journal of the National Science Foundation of Sri Lanka 2016

Journal: :IEEE Transactions on Instrumentation and Measurement 2017

Journal: :International Journal of Computers Communications & Control 2014

Random or incoherent noise is an important type of seismic noise, which can seriously affect the quality of the data. Therefore, decreasing the level of this category of noises is necessary for increasing the signal-to-noise ratio (SNR) of seismic records. Random noises and other events overlap each other in time domain, which makes it difficult to attenuate them from seismic records. In this r...

Journal: :CoRR 2016
Tobias Birnbaum Yonina C. Eldar Deanna Needell

Most of compressed sensing (CS) theory to date is focused on incoherent sensing, that is, columns from the sensing matrix are highly uncorrelated. However, sensing systems with naturally occurring correlations arise in many applications, such as signal detection, motion detection and radar. Moreover, in these applications it is often not necessary to know the support of the signal exactly, but ...

1999
Yunfeng Shen Kejie Lu Wanyi Gu

The impact of coherent and incoherent crosstalk on an optical signal passing through optical cross-connect nodes (OXC’s) in wavelength division multiplexing (WDM) optical networks is studied, and the analytical expressions are given. Such crosstalk will be generated when the optical propagation delay differences of optical paths in an OXC do not exceed the coherent time of the lasers. While cau...

2007
Amin Haji Abolhassani Sid-Ahmed Selouani Douglas D. O'Shaughnessy Mohamed-Faouzi Harkat

We present in this paper a subspace approach for enhancing a noisy speech signal. The original algorithm for model identification from which we have derived our method has been used in the field of fault detection and diagnosis. This algorithm is based on principal component analysis in which the optimal subspace selection is provided by a variance of the reconstruction error (VRE) criterion. T...

2001
Michael L. McCloud Louis L. Scharf

In this paper, we propose a new direction of arrival (DOA) estimator for sensor-array processing. The estimator is based on a linear algebraic connection between the standard subspace model of the array correlation matrix and a special signal-plus-interference model, which we develop in this paper. The estimator we propose is a signal subspace scaled MUSIC algorithm, which we call SSMUSIC. It i...

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