A Distributed Compressed Sensing-based Algorithm for the Joint Recovery of Signal Ensemble

This paper considers sparsity-aware adaptive compressed sensing acquisition and the joint reconstruction of intra- and inter-correlated signals in the wireless sensor networks via distributed compressed sensing. textcolor{red}{ Due to the different sparsity order of the finite-length signals, we develop an adaptive sensing framework based on the sparsity order, in which sensor readings are sampled according to its own sparsity order measure.} On the decoder side, utilizing a distributed compressive sensing scheme, a joint reconstruction method is proposed to recover signal ensemble even in imperfect data communication. textcolor{red}{Moreover, we explore that by adapting the sampling rate of the sensed signals, not only the whole required number of measurements is reduced, but also the reconstruction performance is significantly improved. Numerical experiments verify that our proposed algorithm achieves higher reconstruction accuracy with a smaller number of required transmission, and with lower complexity as compared to those of the state of the art CS methods

Scalable Image Self-Embedding Based on Dual-Rate SPIHT-LDPC Reference Generation Scheme

Image Self-Embedding is a method of embedding two sets of data into the original image, authentication data for tamper detection and reference data for image recovery. In this paper, a scalable self-embedding method is proposed based on dual-rate source-channel coding for reference data generation. The proposed method uses Set Partitioning in Hierarchical Tree (SPIHT) algorithm for source coding and Low-Density Parity Check (LDPC) for channel coding. Accordingly, the proposed recovery system provides higher reconstruction quality at low tampering rates, while it can handle higher tampering rates with less reconstruction quality. Therefore, the proposed method has the ability of both preserving the image quality and recovering higher tampering rates. Simulation results show noticeable improvements compared with the related self-embedding methods in the literature

Neuroprotective effect of exogenous melatonin on the noradrenergic neurons of adult male rats� locus coeruleus nucleus following REM sleep deprivation

Melatonin is primarily secreted by the pineal gland in dark. In addition to its role as an internal sleep facilitator, melatonin acts as an antioxidant, anti-inflammatory and neuroprotective agents. melatonin has been introduced as a therapeutic strategy for sleep disorders. Hence, in the present study, we studied the neuroprotective effects of pre- and post-treatment of melatonin in locus coeruleus nucleus (LC) of rapid eye movement (REM) sleep deprived (REM-SD) male adult rats. Adult male rats of control, sham and trial groups were used Exogenous melatonin (ExMe) was intraperitoneally injected in two forms of pre and post treatment. The protein level of cleaved caspase-3, the number and density of tyrosine hydroxylase (TH) positive neurons and the microglia population in LC were studied by western blot and immunohistochemistry respectively. Morphological changes of LC nucleus and its neurons were also studied by using stereological analysis. The number of neurons and volume of LC was reserved in animals that had received post-RSD ExMe. Apoptosis significantly was decreased comparing to RSD and Pre-RSD animals. Melatonin post-treatment of RSD rats also decreased cleavage of caspase-3 and increased reduced glutathione content in LC. Moreover, immunohistochemistry analysis showed an increase in the number of TH positive neurons and a decrease in microglia migration. Based on our findings antioxidant properties of exogenous melatonin could play a critical role in certain types of sleep disorders. © 201