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This paper presents an efficient feature detection algorithm based on the classical SURF (Speeded Up Robust Feature) detector. The image features are represented and scored with respect to its local symmetry property. The local symmetry has natural properties of scale and transformation invariants, and also insensitive to illumination change and local noise. By the proposed feature descriptor, the...
We investigate iterative detection and decoding, a.k.a. turbo detection, for multiple-input multiple-output (MIMO) transmission. This investigation is based on a low complexity softoutput MIMO detector with a priori information feedback. We show that maximum a posteriori performance (without turbo iteration) can be achieved, at a much lower computational cost, by using the proposed soft-output MIMO...
Loop-closure detection, which is the ability to recognize a previously visited place, is of primary importance for robotic localization and navigation problems. We here introduce SAIL-MAP, a method for loop-closure detection based on vision only, applied to topological simultaneous localization and mapping (SLAM). Our method allows the matching of camera images using a novel saliency-based feature...
The stator current signals of induction motors are often used to detect the broken rotor bar faults. However, the detection work becomes rather tedious owing to the fact that the fundamental supply frequency is much greater and quite close to the fault frequency. To get rid of this difficulty, the use of filters is often employed. Besides the fundamental supply frequency, the filter methods used tend...
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...
Novelty detection consists in recognising events that deviate from normality. This paper presents the implementation of a real-time statistical novelty detector on the BeagleBoard-xM. The application processes an incoming audio signal, extracts Power Normalized Cepstral Coefficients and determines whether a novelty sound is present or not based on a statistical model of normality. The novelty detector...
The design of efficient receivers for orthogonal frequency division multiplexing I space division multiple access (OFDM/SDMA) channels remain a challenging task especially when the number of mobile stations (MSs) transmitting exceed base station (BS) antennas. The benchmark performance is achieved by Maximum Likelihood (ML) detector at the cost of computational complexity that exponentially increases...
An iterative detection and decoding (IDD) scheme based on component-level soft cancellation (CLSC) and linear minimum mean-squared error (LMMSE) filtering for turbo coded multiple input multiple output (MIMO) multiplexing systems is proposed in this work. By exploiting the independence between the In-phase and Quadrature-phase branch, more accurate soft interference cancellation is realized. Extrinsic...
To improve the stability and real-time of bold feature extraction, this paper proposes a fast and stable bold extraction algorithm (FSB). In the feature detection stage, three-layer Lap lace filter is used to construct image scale space instead of binary filter, and a local feature detector is built. In the stage of the feature description, the binarized difference of integral image is used as contextual...
This paper proposes a pulsating torque control with a voltage suppression period, which is effective in reducing energy consumption and suitable for position-dependent load torque applications. The proposed control method is based on extracting the fundamental periodic component as a sinusoidal variation by applying a simplified Fourier transformation algorithm. The energy consumption can be reduced...
In this paper, a new structure for acoustic echo cancellation is presented. The role of acoustic echo canceller (AEC) is to remove undesirable acoustic echoes in communication systems. However, in double-talk case the performance of the AEC is degraded, thus, a double-talk detector (DTD) must be used for controlling the AEC. A new structure for AEC using an auxiliary adaptive filter is proposed in...
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...
Multi-user multiple input and multiple output (MU-MIMO) is one of the key techniques in 3GPP Long-Term Evolution (LTE), which enhances the overall system capacity in the downlink. In order to reduce the effect of inter-user-interference in this system, it is necessary to utilize an efficient detection method at the user equipment (UE) that besides its feasibility at high data rate transmission systems...
Traditional network anomaly detection involves developing models that rely on packet inspection. Increasing network speeds and use of encrypted protocols make per-packet inspection unsuited for today's networks. One method of overcoming this obstacle is flow based analysis. Many existing approaches are special purpose, i.e., limited to detecting specific behavior. Also, the data reduction inherent...
In this paper, we propose a new detection technique for multiuser multiple-input multiple-output (MU-MIMO) systems. The proposed scheme combines a lattice reduction (LR) transformation, which makes the channel matrix nearly orthogonal, and then employs a multi-branch (MB) technique with successive interference cancellation (SIC). A single LR transformation is required for the receive filters of all...
Cognitive Radio (CR) is a novel promising approach proposed to ensure efficient spectrum utilization. It is the obvious solution to the spectral congestion problem. Spectrum sensing is the most essential functionality required for the practical implementation of cognitive radio networks. An efficient spectrum sensing method must detect very weak primary user signals while being sufficiently fast and...
Energy-efficiency is among the most important goals of the current IC industry. To achieve this goal each subcomponent of a chip must be optimized for energy). Even though a tremendous amount of research has been dedicated to optimizing floating-point multipliers (FPM) for better performance, efforts are continuously being made to further enhance them, indicating their importance in the computing...
Failure detectors are oracles that have been introduced to provide processes in asynchronous systems with information about faults. This information can then be used to solve problems otherwise unsolvable in asynchronous systems. A natural question is on the "minimum amount of information" a failure detector has to provide for a given problem. This question is classically addressed using...
Several techniques for detecting the temporal changes in satellite polarimetric synthetic aperture radar (POLSAR) imagery, called as the polarimetric change detector (PCD), are developed. The PCD would be able to detect areas in the scene for which the observed polarimetric characteristics noticed a change between the two acquisitions. So these techniques have one of the most important applications...
Inspired by the human vision system, in this paper we propose a specifically organized kind of center-surround contrast features and show their suitability for pedestrian detection. These contrasts are computed from a novel combination of both local color and gradient statistics aggregated quickly for arbitrary sized square cells. We exploit our contrast features in a rich multi-scale and -direction...
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