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We introduce in this paper the fully distributed, Rao-Blackwellized Random Exchange Diffusion Particle Filter (RB ReDif-PF) to track a moving emitter using multiple received-signal-strength (RSS) sensors with unknown noise variances. In a simulated scenario with a partially connected network, the proposed RB ReDif-PF outperformed a suboptimal tracker that assimilates local neighboring measurements...
Cognitive Radio (CR) challenges spectrum sensing into dealing with wideband signals in an efficient and reliable way. CR receivers traditionally deal with signals with high Nyquist rates and low Signal to Noise Ratios (SNRs). On the one hand, sub-Nyquist sampling of such signals alleviates the burden both on the analog and the digital side. On the other hand, cyclostationary detection ensures better...
This note extends the superset method for sparse signal recovery from bandlimited measurements to the two-dimensional case. The algorithm leverages translation-invariance of the Fourier basis functions by constructing a Hankel tensor, and identifying the signal subspace from its range space. In the noisy case, this method determines a superset which then needs to undergo pruning. The method displays...
We study received signal strength-based cooperative localization in wireless sensor networks. We assume that the measurement noise fits a contaminated Gaussian model so as to take into account some outlier conditions. In addition, some environment-dependent parameters are assumed to be unknown. We propose an expectation-maximization based algorithm for robust centralized network localization without...
One of the major problems encountered in recording ECG is the appearance of unwanted distortions induced by power line interference in the electrocardiogram. In addition, infections due to impulse noise leads to variations in the amplitudes which represent the abnormalities associated with the heart. This paper proposes a novel approach for addressing both the aforementioned issues in ECG signals...
Road conditions can provide important information for driving safety in driving assistance system. The input images usually include unnecessary information and road conditions need to be analyzed only in a region of interest (ROI) to reduce the amount of computation. In this paper, a vision-based road ROI determination algorithm is proposed to detect the road region using the positional information...
A Wireless Bio-nanosensor Network (WB2N) is a collection of bio-nanodevices having applications in e-health. In this paper, we address the issue of catastrophic collision — a phenomenon which exhibits recurrent collisions of femtosecond-long pulse symbols emanating from the nanodevices in a WB2N. Such type of collision is very serious in these networks due to unique properties of the terahertz band...
Fingerprinting is one of the most used techniques for searching and identification audio with a wide spectrum of applications. Different algorithms defines different fingerprint extraction and the match techniques, with different efficiency, computational load, robustness, response time and location search. Nowadays music audio retrieval faces two main challenges in order to be efficient: robustness...
The STRATUS project seeks to provide resilience against cyber threats to distributed systems. STRATUS is designed to anticipate, diagnose, and respond proactively to threats. It uses a reactive technique to respond to the latest events quickly and a more `strategic' technique that recognizes attack plans and responds to them proactively. We focus on a set of experiments where we approximate the behavior...
Existing dual image deblurring methods usually model blurred image pairs being taken from exactly the same viewpoint and restore a single clear image. This imposes a strong assumption that the latent clear images of both images must be completely identical. In contrast to this restricted scenario, we assume that the restored pair are different, but can be approximated by image warping due to small...
In this paper, the sum capacity of the Poisson Z-interference channel that models optical communication systems with multiple transceivers is investigated. First, the capacity region of the Poisson Z-interference channel is shown to remain the same if we approximate the Poisson Z-interference channel with a discrete time memoryless binary input binary output Z-interference channel. Second, building...
In 3D IC architectures, the thermal and power noise problems affect the performance of the whole chip. In this paper, we present a method to solve these two problems by simultaneously adding thermal TSVs (T-TSV) for the thermal issue and decoupling capacitors (decap) for the power noise issue. Since the unit-area capacitance of a T-TSV at the room temperature is equivalent to that of a decap, and...
Reliable co-channel bidirectional transmission in wireless networks is moving towards reality by employing the emerging full-duplex (FD) technology. Enhanced by FD-capable nodes, a future wireless network can be made up merely with pairs of bidirectional communicating nodes where each pair occupies a block of orthogonal resource to avoid interference, referred to as pure-FD system. In this paper,...
Quartz wafer inevitably produces various physical defects in the production process. This paper focuses on the quartz wafer dirt defects, and proposes a way for image processing on the quartz wafer by using of computer vision library OpenCV. The proposed method is to find contours of the processed images to judge whether there is dirt or not. Experiments show that this method can well detect the dirt...
Denoising is an important part of digital image processing. Adaptive Fidelity term Total Variation (AFTV) method can effectively remove the noise and can preserve the edge and detail information of the image. However, noise variance should be given in the method, and the mothed is sensitive to noise, which will lead to unsatisfactory denoising results in edges of image. Therefore, an improved Adaptive...
In this paper, we present a technique to recognize books from library bookshelf images. The proposed technique includes several modules such as — noise removal, bookshelf row detection and book detection and extraction from bookshelf. Firstly, the image is filtered for noise removal and edges are detected. The proposed technique counts the number of pixels of every candidate for horizontal lines on...
Sample Image Matching is to decide if a queried image is belongs to the database or not. In this paper, we focus on real-time image matching, which is critical in many real world applications. Although traditional image retrieval methods can be directly utilized for image matching, they usually suffer the high computational cost problem and thus is not applicable here. To resolve this problem, we...
Linear precoding for cooperative multi-cell transmission can provide substantial gains in user throughput, while channel state information (CSI) need to be available at the transmitter. Performance degradation due to imperfect CSI can be partially compensated by robust precoding techniques. For distributed precoding the pre-processing of the user data is performed locally at each base station (BS),...
Exposure fusion is a technique to fuse several differently exposed low dynamic range (LDR) images to an LDR image. The output image has more information than each of the input images, but it could suffer from loss of fine details. In this paper, we propose a detail-enhanced exposure fusion algorithm by introducing an L0 norm based optimization in gradient domain. The proposed algorithm extracts fine...
Image Segmentation is necessary factor in the medical image processing. According to the current scenario of health care society, detection of brain tumor is a must. Automated brain disorder diagnosis with MR images is one of the challenging medical image analysis methodologies. Segmentation is used to separate the abnormal tumor portion in brain. These tumors are inhomogeneous, unsharp, and faint...
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