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When dealing with uplink transmissions of a coded orthogonal frequency division multiple access (OFDMA) system, frequency synchronization has to be addressed. To this end, we propose a blind carrier frequency offset (CFO) estimator based on an iterative architecture that combines the socalled minimum mean square error successive detector and a Kalman algorithm, i.e. the extended Kalman filter, the...
Traditional correlation filters for object detection are efficient and provide good localization, but require scalar valued image features and only perform well on objects with consistent appearance. Some newer filters work with feature spaces that introduce some invariance to small deformations, but more difficult detection problems require more than one filter. We introduce a method for jointly...
In this paper we study the problem of estimating inner cyclic time intervals within repetitive motion sequences of top-class swimmers in a swimming channel. Interval limits are given by temporal occurrences of key-poses, i.e. distinctive postures of the body. A key-pose is defined by means of only one or two specific features of the complete posture. It is often difficult to detect such subtle features...
In cognitive radio networks, spectrum sensing plays a crucial role in the discovery of spectrum opportunities for secondary systems (or unlicensed systems). The performance of spectrum sensing is characterized by both accuracy and efficiency, and more importantly the time taken to make a decision and also the complexity involved in doing so. In this work we propose a simple detection technique based...
In this paper, we disclosure a cost-efficiency FFT via hardware-reduction and dynamic current scaling (DCS) schemes in a low-power OFDM modem. These reductions are realized by the pipelined data path modifying and the hardware sharing at two stages. For low power, the operating current is scalable to reduce power consumption, namely DCS. All our works are synthesized and simulated by the TSMC 65nm...
In this paper, we present a performance study between two-stage detectors and propose estimated signal to noise ratio (SNR) based detector. The propose sensing technique consists two detectors, energy detector (ED) & ED with ADT detector, out of these two detectors only one will perform sensing operation at a time. Selection of detector depends on condition between estimated SNR value (Se)...
In the literature Unknown Input Observers for sensor and actuator failure estimation are widely developed. None of them concerns component fault estimation. These analytical approaches are based on state equation description and complex numerical calculation. The present paper deals with physical component failure estimation based on bond graph approach as power full methodology for dynamic modeling...
Polarimetric-hyperspectral imaging brings two traditionally independent modalities together to potentially enhance scene characterization capabilities. This could increase confidence in target detection, material identification, and background characterization over traditional hyperspectral imaging. In order to fully exploit the spectro-polarimetric signal, a careful calibration process is required...
In 1950 Abraham Wald proved that every admissible statistical decision rule is either a Bayesian procedure or the limit of a sequence of such procedures. He thus provided a decision-theoretic justification for the use of Bayesian inference, even for non-Bayesian problems. It is often assumed that his result also justified the use of Bayesian priors to solve such problems. However, the principles one...
In this paper, the problem of target detection in the clutter plus Gaussian noise background is considered. The published detectors group the clutter and the noise as a single parameter; differently, we deal separately with the clutter and the noise. In the paper, the noise is assumed to be obtained in advance and the clutter is distributed according to a certain distribution. An adaptive target detector...
In this paper, we investigate channel estimation for Interleave-Division Multiple Access (IDMA) in an asynchronous multiuser system, by deploying superimposed pilots. As the superimposed pilots are the a priori known spreading sequences, the initial channel estimates can be obtained by separating the users with respect to the corresponding code-division orthogonality. Within the inherent IDMA iterations,...
Maximum likelihood (ML) based modulation detector provides the optimal performance in the sense that the detection error probability is minimized, if no prior probability of candidate modulations is available at the modulation detector. However, the evaluation of the likelihood function requires prohibitively high computational complexity. This contribution deals with an approximation of the ML detector,...
Anomaly detection has been a hot topic in recent years due to its capability of detecting zero attacks. In this paper, we propose a new on-line anomaly detection method based on LMS algorithm. The basic idea of the LMS-based detector is to predict IGTE using IGFE, given the high linear correlation between them. Using the artificial synthetic data, it is shown that the LMS-based detector possesses...
Anomaly detection has been a hot topic in recent years due to its capability of detecting zero day attacks. In this paper, we propose a new metric called Entropy-Ratio. We validate that the Entropy-Ratio is stationary. Making use of this observation, we combine the Least Mean Square algorithm and the Forward Linear Predictor to propose a new on-line detector called LMS-FLP detector. Using the two...
Diffuse Optical Tomography (DOT) has become an emerging non-invasive technology, and has been widely used in clinical diagnosis. Functional near-infrared (FNIR) is one of the important applications of DOT. However, FNIR is used to reconstruct two-dimensional (2D) images for the sake of good spatial and temporal resolution. In this paper we propose a multiple-input and multiple-output (MIMO) based...
Computing descriptors for image features is a crucial task in many applications. A good feature descriptor is capable of providing invariance to geometric and lightning transformations while consuming as few memory as possible. Recently, there were proposed new approaches to compute a feature descriptor that rely on pixel intensity comparisons in order to generate a binary string, generating binary...
In order to solve multi access interference (MAI) effect of multi-user blind detection in underwater acoustic communication networks, blind adaptive multi-user detection method based on improved Kalman filter algorithm was proposed. This method can suppress the MAI problem when the user number increases. Simulation was done for both traditional Kalman method and improved Kalman method in synchronous...
A new robust digital watermarking technique with an aim of image protection is proposed. This technique incorporates both the transform and feature based method. Initially, the Harris Laplacian detector extracts the features from the cover image that suites well for the watermarking. The extracted characteristic regions are grouped to form a primary feature set where the secret message is embedded...
Quantum particles possess both wave and particle natures. When quantum effect devices exploiting the wave nature and the devices described from the view point of particle nature coexist in a system, the following advantages are gained by representing former devices in the same way as we describe the latter devices: First, it is not necessary to compute probability distribution from wave functions...
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