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a r t i c l e i n f o a b s t r a c t This paper presents a novel watermarking approach for copyright protection of color images based on the wavelet transformation. We consider the problem of logo watermarking and employ the genetic algorithm optimization principles to obtain performance improvement with respect to the existing algorithms. In the proposed(More)
In this paper, the authors propose a new procedure for copyright protection by using a bio-inspired wavelet based data hiding approach. The proposed method takes advantage of human visual system (HVS) characteristics to provide better watermarked image quality. It also exploits visual secret sharing (VSS) technique to guarantee the security of the(More)
Nowadays, wireless access is experiencing and developing a new technology called, wireless mesh networks (WMNs). Many wireless standards like IEEE 802.11,15, and 16 have included this technology, as it proposes many facilities and enhancements to wireless access schemes. High throughput, and low delay that are the essential requirements of a backbone WMN,(More)
Although many researches have been devoted to the development of proper watermarking procedures using multiresolution-based transformation, most of these investigations encounter watermarking problems from a specific point of view. Therefore, there is a lack of a general investigation dedicated to the study of parameter selections and their impacts on the(More)
A wireless sensor network with a large number of small sensor nodes can be used as an effective tool for gathering data in various situations. The paradigm of data aggregation enables wireless sensor networks to accurately estimate the different parameters of an environment. The aim of this paper is to introduce a new fault tolerant protocol striving to(More)
In this paper, we examine some of the challenges concerning error correction and multi-hop communication in wireless sensor networks (WSNs). We consider Bose, Chaudhuri and Hoquenghem (BCH) codes with different codeword lengths and error correction capabilities. In contrast with previous works, that implement coding algorithm in hardware and consequently(More)
A new approach for joint data estimation and channel tracking for multiple-input multiple-output (MIMO) channels is proposed based on the decision-directed recursive least squares (DD-RLS) algorithm. RLS algorithm is commonly used for equalization and its application in channel estimation is a novel idea. In this paper, after defining the weighted least(More)
In this paper, different schemes of joint blind channel tracking and data detection algorithms based on maximum likelihood (ML) algorithm for time-varying flat fading multiple-input multiple-output (MIMO) channels are introduced. If the channel model is known in the receiver, ML can present the best performance. The performance and tracking behavior of the(More)