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Temporal networks are such networks where nodes and interactions may appear and disappear at various time scales. With the evidence of ubiquity of temporal networks in our economy, nature and society, it's urgent and significant to focus on its structural controllability as well as the corresponding characteristics, which nowadays is still an untouched(More)
OBJECTIVE Randomized, controlled, blinded trial to evaluate the effectiveness of strategic targeted exercise for preventing falls in elderly people. METHODS Elderly people were randomly allocated to either a control group that received conventional exercise, or a training group that received conventional exercise plus proprioception and cognitive(More)
Temporal networks are such networks where nodes and interactions may appear and disappear at various time scales. With the evidence of ubiquity of temporal networks in our economy, nature and society, it's urgent and significant to focus on structural controllability of temporal networks, which nowadays is still an untouched topic. We develop graphic tools(More)
The direction-of-arrival (DOA) estimation accuracy is sensitive to the unknown mutual coupling in antenna array. This paper proposes an online array calibration method which jointly estimates the DOAs and the mutual coupling. Taking advantage of the Toeplitz property of mutual coupling matrix (MCM) with the uniform linear array (ULA), we handle the joint(More)
The frequency smoothing technique makes the coherent signal subspace method (CSSM) capable of resolving the wideband coherent sources. However, when time delay between coherent signals becomes short, its performance deteriorates. To fix this, we propose a novel method based on the sparse representation. After averaging the focused array covariance matrices(More)
To further improve the performance of the two-dimensional (2-D) direction-of-arrival (DOA) estimation, we propose a novel method employing the sparse Bayesian learning (SBL). In this new method the 2-D DOA estimation is divided into two independent 1-D DOA estimations which can be resolved by the SBL respectively. To avoid the negative effects on the(More)
This paper deals with the wideband direction-of-arrival (DOA) estimation by exploiting the multiple measurement vectors (MMV) based sparse Bayesian learning (SBL) framework. First, the array covariance matrices at different frequency bins are focused to the reference frequency by the conventional focusing technique and then transformed into the vector form.(More)
Repeater jamming has become an important jamming type for countering coherent radar since it is proposed. In this paper, a coherent noise jamming method based on interrupted-sampling and pseudo-random sequence phase-modulation is proposed against de-chirping radar. The characteristic of jamming signal is analyzed in detail and the processing procedure of(More)
Scatter-wave jamming (SWJ) can form false target to inverse synthetic aperture radar (ISAR), while pseudorandom serials phase-modulation can spread the spectrum of target signal. Thus in this paper we propose an active quasi-coherent noise jamming signal by combination of these two methods. The jammer firstly intercepts the radar signal and then transmits(More)
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