This paper proposes an oblivious watermarking algorithm with blind detection approach for high volume data hiding in image signals. We present a detection reliable signal adaptive embedding scheme for multiple messages in selective sub-bands of wavelet (DWT) coefficients using direct sequence spread spectrum (DS-SS) modulation technique. Here the impact of volumetric distortion sources is analy...

1Professor, Department of Electronics and Automation, Erciyes University Kayseri Vocational College, Melikgazi, Kayseri, Turkey 2Instructor, Department of Electronics and Automation, Erzincan University Vocational College, Erzincan, Turkey ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Lately, ...

In many wireless systems where multiuser detection techniques may be applied, the ambient channel noise is known through experimental measurements to be decidedly nonGaussian, due largely to impulsive phenomena. The performance of many multiuser detectors can degrade substantially in the presence of such impulsive ambient noise. In this paper, we develop robust multiuser detection techniques fo...

We consider the problem of multi-user detection for CDMA systems where the codes of some users are known while others are unknown, called semi-blind detectors. An example is at the base station of a cellular communication systems with interference from both in-cell users, with known codes, and out-of-cell users, with unknown codes. In this paper we develop a hybrid semi-blind detector, which is...

We have analyzed the efficiency in source detection and flux density estimation of blind and non-blind detection techniques exploiting the MHW2 filter applied to the Wilkinson Microwave Anisotropy Probe (WMAP) 5-year maps. A comparison with the AT20G Bright Source Sample (Massardi et al. 2008), with a completeness limit of 0.5 Jy and accurate flux measurements at 20 GHz, close to the lowest fre...

BACKGROUND Visual field testing is an essential part of glaucoma care. It is hampered by variability related to the disease itself, response errors and fatigue. In glaucoma, blind parts of the visual field contribute to the diagnosis but--once established--not to progression detection; they only increase testing time. The aims of this study were to describe the persistence and spatial distribut...

This paper presents a neural architecture for model breaking detection in real world conditions. This technique use an Independent Component Classiier 1] for detection of unexpected or unknown events in noisy and varying environment. This method is based on subspace classier 2] and Independant Component Analysis 3]. A feed-forward neural network adapts itself to input evolutions, by detecting n...

Considering the problem of rearview mirror blind spot during driving, the paper studied and designed the blind spot detection system based on MMW radar. Radar was installed at an appropriate position on the detection target signal by transmitting, when another car enter the detecting area, the small alarm light beside A pillar would shine or alarm few times, to remind drivers careful change roa...

Spectrum sensing is essential in cognitive radio. By defining leading eigenvector as feature, we introduce a blind feature learning algorithm (FLA) and a feature template matching (FTM) algorithm using learned feature for spectrum sensing. We implement both algorithms on Lyrtech software defined radio platform. Hardware experiment is performed to verify that feature can be learned blindly. We c...

This paper describes an embedded device dedicated for blind or visually impaired people. The main aim of this system is to build an automatic text reading assistant using existing hardware associated with innovative algorithms. A personal digital assistant (PDA) was chosen because it combines small-size, computational resources and low cost price. Three key technologies are necessary: text dete...