For any practical direction estimation and tracking system in array processing, estimating the number of incident signals accurately and tracking its possible changes in an on-line way is a critical requirement. In th...
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ISBN:
(纸本)9782839904506
For any practical direction estimation and tracking system in array processing, estimating the number of incident signals accurately and tracking its possible changes in an on-line way is a critical requirement. In this paper, a new QR-based adaptive detection algorithm is proposed to estimate the coherent/incoherent narrowband signals impinging on a uniform linear array (ULA), where the updating of eigenvalues and the threshold setting are avoided. The effectiveness of the proposed method is verified through numerical examples, and simulation results show that the proposed method has good detection performance to track the number of suddenly appearing/disappearing incident signals or that of closely-spaced signals with time-varying directions.
This paper presents the programmable logic devices implementation of islanding detection for grid connected inverter with under/over voltage and under/over frequency islanding detection algorithms. The design are base...
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This paper presents the programmable logic devices implementation of islanding detection for grid connected inverter with under/over voltage and under/over frequency islanding detection algorithms. The design are based on the field programmable gate array (FPGA) and the complex programmable logic device (CPLD). The logic circuits inside PLDs chip are design, implementation, testing and debugging by software development without hardware modification. The prototypes of PLDs for islanding detection are monitor the grid voltage and grid frequency at the point of common coupling (PCC) between the grid connected inverter, the local load and the distribution transformer and processed the value of voltage and frequency for turned on - off relay between grid connected inverter and utility grid. The results of study, the prototypes can turn off relay when the voltage is change under 200V or over 240V and frequency is change under 48Hz or over 52Hz. The FPGA-based is operated faster and high capacity than CPLD-based but the cost of design is higher.
New bit array pattern and detection algorithm for hard disk drive (HDD) with patterned media are proposed. The width of the reader is larger than a bit width, of which the fabrication cost is lower than a bit-size com...
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New bit array pattern and detection algorithm for hard disk drive (HDD) with patterned media are proposed. The width of the reader is larger than a bit width, of which the fabrication cost is lower than a bit-size compatible reader. It can read several sub-tracks simultaneously, in which the bits are patterned with different phase. The readback signal is superposed by each bit response and we can extract the bit information easily because of its phase difference.
We introduce a novel wire detection algorithm for use in low altitude urban aircraft reconnaissance. A line profile model is described and effectively used to discriminate wires from other linear patterns commonly fou...
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ISBN:
(纸本)9781424421749
We introduce a novel wire detection algorithm for use in low altitude urban aircraft reconnaissance. A line profile model is described and effectively used to discriminate wires from other linear patterns commonly found in urban scenes. The algorithm is able to cope with highly cluttered backgrounds, moderate rain and mist, and with no stabilization of camera. The studied domain is of particular interest to urban search and rescue and military reconnaissance operations. The algorithmpsilas receiver operating characteristic curve is shown, based on a multi-site dataset with 10160 wires spanning in 5576 frames. Encouraging results show up to 37% detection improvement over a previously published baseline algorithm for comparable false alarm rates.
This paper aims at effectively detecting the changes in multi-temporal synthetic aperture radar (SAR) images. Since pixel-based method does not sufficiently utilize the correlation between pixels, it usually may only ...
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This paper aims at effectively detecting the changes in multi-temporal synthetic aperture radar (SAR) images. Since pixel-based method does not sufficiently utilize the correlation between pixels, it usually may only be used in some specific applications. We propose a change detection method that is based upon discrete cosine transform (DCT) classification. It can utilize the correlation between pixels and eliminate unimportant or nuisance forms of changes. It generates a threshold automatically in DCT classification according to the relationship between DCT coefficient and pixel's gray level. In order to eliminate the block effect, we check pixels not only within the target block, but also inside the neighborhood window around the target block. Experimental results show that the proposed method outperforms some recently published pixel-based methods.
Nowadays, millions of people's living and work habits are affected by TV commercials. A feature-based real-time TV commercial detection algorithm is proposed in this work. In terms of the combination of the visual...
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Nowadays, millions of people's living and work habits are affected by TV commercials. A feature-based real-time TV commercial detection algorithm is proposed in this work. In terms of the combination of the visual and acoustic features, and the temporal information, we detect the end and the start boundary of the commercial separately. Then, in order to refine the detecting result further, we address a set of basic features that is easy to distinguish the commercial from general programs. Based on these features, a finite automation is build simultaneously, which well illustrates our detection method clearly. The experimental results show that our algorithm can yield better recall (96.47%) and precision (97.27%) by comparing with current main approaches.
In this paper we propose a novel technique for detecting rotation and scale invariant interest points from the local frequency representation of an image. Local or instantaneous frequency is the spatial derivative of ...
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In this paper we propose a novel technique for detecting rotation and scale invariant interest points from the local frequency representation of an image. Local or instantaneous frequency is the spatial derivative of the local phase, where the local phase of any signal can be found from its Hilbert transform. Local frequency estimation can detect edge, ridge, corner and texture information at the same time and shows high values at those dominant features of an image. For each pixel, we select an appropriate width of the window for computing the derivative of the phase. In order to select the width of the window for any given pixel, we make use of the measure of the extent to which the phases, in the neighborhood of that pixel, are in the same direction. The local frequency map, thus obtained, is then thresholded by employing a global thresholding approach to detect the interest or feature points. Repeatability rate, a performance evaluation criterion for an interest points detector, is used to check the geometric stability of the proposed method under different transformations. We present simulation results of the detection of feature points from an image and the repeatability rate as a function of image rotation and scale changes. The results prove the efficacy of the proposed feature points detection algorithm.
In the paper a problem of analyzing surgeon's right hand wrist trajectory during laparoscopic operation is considered. Based on the results of the analysis detection algorithms to recognize six motions are develop...
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In the paper a problem of analyzing surgeon's right hand wrist trajectory during laparoscopic operation is considered. Based on the results of the analysis detection algorithms to recognize six motions are developed. The motions can be considered as primitives of a surgery from the human scrub nurse point of view. In the analysis, to represent motions the third order polynomials are used. The two proposed algorithms are based on Kohonen maps and boosted decision trees. The performance of the algorithms is tested on surgical operation data.
In communication environments such as power line channel, impulsive noise greatly deteriorates the performance of detection algorithm based on Gauss optimization. This paper introduces a symmetric alpha stable (Salpha...
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In communication environments such as power line channel, impulsive noise greatly deteriorates the performance of detection algorithm based on Gauss optimization. This paper introduces a symmetric alpha stable (SalphaS) distribution to model a statistical model of impulsive noise, and considers that interference in the receiver is a mixture of additional white Gaussian noise (AWGN) and SalphaS noise. Based on this noise model, a nonlinear detector is proposed through the numerical calculation method. Simulations show that the proposed detector is robust, and its performance is slightly worse than the locally optimum (LO) in non-Gaussian environment, however, the key parameters do not need known in advance and its computational complexity is reduced greatly.
This paper presents a novel audio-visual fusion method for speech detection, which is an important front-end for content-based video processing. This approach aims to extract homogeneous speech segments from the accom...
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This paper presents a novel audio-visual fusion method for speech detection, which is an important front-end for content-based video processing. This approach aims to extract homogeneous speech segments from the accompanying audio stream in real-world movie/TV videos with the help of video captions. Note that captions are mainly created to help viewers to follow the dialog, rather than to accurately locate the speech regions. We propose a caption-aided speech detection approach, which makes use of both caption information and audio information. The inaccurate positions of the captions are refined through using audio features (pitch and MFCCs) and BIC-based acoustic change detection. Comparison experiments against several other traditional speech detection approaches are conducted, showing that the proposed approach improves the speech detection performance greatly.
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