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检索条件"任意字段=Conference on Advanced Signal Processing Algorithms"

共 3487 条记录，以下是401-410 订阅

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Analysis of 2-D correlation properties of sea surface backscattered signal

Analysis of 2-D correlation properties of sea surface backsc...

引用

15th International conference on Microwaves, Radar and Wireless Communications, MIKON - 2004

作者： Czarnecki, Witold Darlak, Józef Institute of Radar Technology Military University of Technology

ISBN: (纸本)8390666278

New radar technology applications need more and more advanced signal processing algorithms. In order to design processing algorithms it is necessary to dispose sufficiently accurate signal model. In this paper the 2-d correlation properties of sea surface radar return are analysed. The data for the analysis are real registered radar signals. The results show the dependence of correlation coefficients and correlation distances on range. Some parameters of power spectral density are introduced and analysed too. The conclusions formulated can be useful formodelling, simulation and segmentation of 2-d radar signals (images).

关键词： signal processing

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advanced signal processing for Decision Making and Decision-Fusion Software Systems for Aircraft Structural Health Monitoring

Advanced Signal Processing for Decision Making and Decision-...

引用

IEEE SoutheastCon conference

作者： Mikhail, Maged Purdue Univ Northwest Mechatron Engn Technol Hammond IN 46323 USA

ISBN: (数字)9781728101378

ISBN: (纸本)9781728101378

tracking the structure health status of the aircraft fleet is one of the important factors for improving safety in the aviation industry. US Airforce Research Lab is working hard to develop technology to monitor the structural health status of aircraft before and after takeoff. This technology is called Structural Health Monitoring or Structural Health Management (SHM), and uses advanced signal processing techniques. The advantages of this include improving the technology and safety factors of the aircraft by increasing the robustness of the aircraft structure as well as reduce the cost of the labor maintenance. This research paper focuses on developing a software system that is capable of detecting a crack in the aircraft structure at an early stage Also, the developed software will be used to estimate the crack lengths within 90% accuracy. The developed software uses the Matlab environment for all algorithms developed: calculating and finding the crack, and estimating the crack length. Artificial Intelligent (AI) techniques such as fuzzy logic and neural networks are used to support the decision regarding the length of the crack Also, developed decision fusion frameworks are designed to increase the accurate percentage rate of the decision making results. The results obtained from this research are compared with the baseline developed by The Air Force Research Laboratory (AFRL). Finally, the results of this research along with the capabilities of using advanced signal processing integrated with AI, show that the calculations for the crack and the crack length produce very acceptable results using a real data gathered by AFRL. Also, the percentage average error performance analysis of the developed software's system algorithms is provided in the research paper.

关键词： SHM advanced signal processing Decision making Decision Fusion Fuzzy logic Type Fuzzy Network Structural Heath Monitoring

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Design and Implementation of Edge Detection Algorithm Using Digital signal Controller (DSC)

Design and Implementation of Edge Detection Algorithm Using ...

引用

7th International conference on Intelligent Computing (ICIC)

作者： Ajaz, Sabooh Premaratne, Prashan Premaratne, Malin Univ Wollongong Wollongong NSW 2522 Australia Monash Univ Clayton Vic 3800 Australia

ISBN: (纸本)9783642259432

The research presents a preliminary approach to perform any type of image processing task using 16-bit digital signal controllers. Even though this attempt is aimed at Edge Detection, the research opens up possibilities for numerous other algorithms of signal and image processing that can be implemented using the same low cost hardware. FPGA's & DSP's are widely used to perform hardware-based signal processing task. It is an efficient but generally an expensive solution for image processing applications. On the other hand a conventional 8-bit MCU doesn't have enough capability to handle memory intensive DSP algorithms. In this regard. a digital signal controller offers a tradeoff between cost and performance.

关键词： Hardware based image processing Edge Detection Digital signal Controller (DSC) Sobel

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advanced Range-Doppler processing in Noise Radar 22

Advanced Range-Doppler Processing in Noise Radar

引用

22nd International Microwave and Radar conference (MIKON)

作者： Wasserzier, Christoph Galati, Gaspare Tor Vergata Univ Via Politecn 1 Rome Italy Fraunhofer Inst High Frequency Phys & Radar Tech Fraunhoferstr 20 Wachtberg Germany

A novel approach is proposed to overcome the maximum range limitations of noise radar technology while enhancing the computational efficiency of the correlation processing of batches of samples. The proposed algorithm... 详细信息

ISBN: (纸本)9788394942113

关键词： Correlation signal processing algorithms Filter banks Doppler radar Doppler effect Delays

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Toward blind removal of unwanted sound from orchestrated music

Toward blind removal of unwanted sound from orchestrated mus...

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conference on advanced signal processing algorithms, Architectures, and Implementations X

作者： Chang, SY Chun, J Univ Suwon Dept Elect Engn Kyungki do South Korea

ISBN: (纸本)0819437611

The problem addressed in this paper is to removing unwanted sounds from music sound. The sound to be removed could be disturbance such as cough. We shall present some preliminary results on this problem using statistical properties of signals. Our approach consists of three steps. We first estimate the fundamental frequencies and partials given noise-corrupted music sound. This gives us the autoregressive (AR) model of the music sound. Then se filter the noise-corrupted sound using the AR parameters. The filtered signal is then subtracted from the original noise-corrupted signal to get the disturbance. Finally the obtained disturbance is used as reference signal to eliminate the disturbance from the noise-corrupted music signal. Above three steps are carried out in a recursive manner using a sliding window or an infinitely growing window with an appropriate forgetting factor.

关键词： Wiener filter music signal processing interference cancellation

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Applications of knowledge technologies to sound and vision engineering

Applications of knowledge technologies to sound and vision e...

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1st International conference on Rough Sets and Knowledge Technology (RSKT 2006)

作者： Czyzewski, Andrzej Gdansk Tech Univ Multimedia Syst Dept PL-80952 Gdansk Poland

ISBN: (纸本)3540362975

Sound and Vision Engineering as an interdisciplinary branch of science should quickly assimilate new methods and new technologies. Meanwhile, there exist some advanced and well developed methods for analyzing and processing of data or signals that are only occasionally applied to this domain of science. These methods emerged from the artificial intelligence approach to image and signal processing problems. In the paper the intelligent algorithms, such as neural networks, fuzzy logic, genetic algorithm and the rough set method will be presented with regards to their applications to sound and vision engineering. The paper will include a practical demonstration of results achieved with intelligent algorithms applications to: bi-modal recognition of speech employing NN-PCA algorithm, perceptually-oriented noisy data processing methods, advanced sound acquisition, GA algorithm-based digital signal processing for telecommunication applications and others. © Springer-Verlag Berlin Heidelberg 2006.

关键词： sound & vision engineering knowledge technologies digital signal processing

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Wavelet windowed time-frequency distribution decompositions

Wavelet windowed time-frequency distribution decompositions

引用

conference on advanced signal processing - algorithms, Architectures, and Implementations VII

作者： Williams, WJ Sang, TH ONeill, JC Zalubas, EJ Univ. of Michigan (United States)

ISBN: (纸本)0819425842

This paper outlines means of combining and reconciling concepts associated with Cohen's class of distributions and with the wavelet transform. Both have their assets and their liabilities. Previous work has shown that one can decompose any time-frequency distribution (TFD) in Cohen's class into a weighted sum of spectrogram. A set of orthogonal analysis windows which also have the scaling property in common with wavelets is proposed. Successful application of this theory offers very fast computation of TFDs, since very few analysis windows may be needed and fast algorithms can be used. In addition, the decomposition idea offers the possibility of shaping the analysis such that good local and global properties as well as a number of desirable TFD properties are retained. Finally, one may view the result in terms of conventional Cohen's class concepts or, alternatively, in terms of wavelet concepts and potentially combine powerful insights and concepts from both points of view. Preliminary results applied to radar backscatter are provided. Performance curves for several wavelet types are also provided.

关键词： time-frequency wavelets signal decomposition radar fast algorithms

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Adaptive System for Language Learning 17

Adaptive System for Language Learning

引用

17th IEEE International conference on advanced Learning Technologies (ICALT)

作者： Zilio, Leonardo Fairon, Cedrick Catholic Univ Louvain CENTAL Louvain Belgium

ISBN: (纸本)9781538638705

This paper presents a system that combines NLP and hand-written rules for enhancing the text of authentic Web pages based on the needs of a specific language learner. It uses the Stanford CoreNLP system to process texts, and applies handwritten rules for retrieving language information that is relevant according to a given Common European Framework of Reference for Languages (CEFR) level. After the text content of the Web page is processed, it is presented to the user with enhancements of various language structure. These enhancements are meant to draw the user's attention to linguistic structures that are present on the text, so that the reading activity does not encompass only the meaning of the text, but also serves as a reinforcement to language learning activities.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks signal processing algorithms

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Blind source separation using joint signal representations for arbitrary variables.

Blind source separation using joint signal representations f...

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conference on advanced signal processing - algorithms, Architectures, and Implementations VII

作者： Belouchrani, A Amin, MG Villanova Univ. (United States)

ISBN: (纸本)0819425842

Blind source separation is an emerging field of fundamental research with a broad range of applications. It is motivated by practical problems that involve several source signals and several sensors. Each sensor receives an instantaneous linear mixture of the source signals. The problem of the blind source separation consists then of recovering the original waveforms of the sources without any knowledge of the mixture structure. So far, the problem of the blind source separation has been solved using statistical information available on the source signals. A blind source separation approach for non-stationary signals based on time-frequency representations (TFR) have been recently introduced by the authors (SPIE 1996). Herein, we generalize the TFR based blind source separation approach to arbitrary variables, including time and frequency. 'Spatial joint arbitrary variable distributions' are introduced and used for blind source separation via joint diagonalization techniques.

关键词： blind source separation time-frequency representation joint signal representation spatial joint arbitrary variable distributions joint diagonalization

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Statistical Analysis of Influencing Factors for Heuristic Grip Determination in Random Bin Picking

Statistical Analysis of Influencing Factors for Heuristic Gr...

引用

IEEE International conference on advanced Intelligent Mechatronics (AIM)

作者： Spenrath, Felix Pott, Andreas Fraunhofer Inst Mfg Engn & Automat IPA Nobelstr 12 D-70569 Stuttgart Germany Univ Stuttgart Fraunhofer Inst Mfg Engn & Automat IPA Seidenstr 36 D-70174 Stuttgart Germany Univ Stuttgart Inst Control Engn Machine Tools & Mfg Units ISW Seidenstr 36 D-70174 Stuttgart Germany

ISBN: (纸本)9781509060009

The determination of collision free grips is an important aspect of random bin picking, which describes the separation of unordered workpieces stored in bins by an industrial robot. Heuristic search algorithms are an appropriate approach to this problem. In this paper, we analyze the influence of relative height and lateral position of workpieces as well as orientation of tool center points on finding valid grips. From these results, we deduce heuristic functions, which can be used to improve the aforementioned heuristic search algorithms. Being able to reduce the calculation time for grip determination reduces overall cycle time and therefore makes bin picking more applicable for the producing industry.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks signal processing algorithms

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