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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301-310 订阅

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Analysis of Arabic Tweet Sentiment About Trending Hashtags Using Transfer Learning and Machine Learning Models 7

Analysis of Arabic Tweet Sentiment About Trending Hashtags U...

引用

IEEE 7th International conference on advanced Technologies, signal and Image processing (ATSIP)

作者： Al-Qahtani, Waad Nasier Muniasamy, Anandhavalli King Khalid Univ Coll Comp Sci Abha Saudi Arabia

ISBN: (纸本)9798350351491;9798350351484

This study used a multi-pronged approach to examine how Gulf region Twitter users felt about COVID-19 trending topics. The data collection phase of the study started with the selection of relevant hashtags and time frames for analysis. The Twitter API was then used to compile a representative dataset of Arabic tweets pertaining to the COVID-19 trending topics. Subsequently, the research proceeded to the data annotation stage, employing a hybrid annotation technique that fused the transfer learning model and lexicon-based approach to assign a sentiment label to every tweet. Analyzing the patterns of tweet distribution over time exposed interesting patterns and possible sentiment expression influencers. The research obtained good accuracy scores by using a sentiment analysis model that combined three popular machine learning algorithms (Multinomial Naive Bayes, CountVectorizer, and TfidfVectorizer) with three feature representations (Ngram, TfidfVectorizer, and CountVectorizer). The sentiment tendencies of Arabic-speaking Twitter users toward trending topics were revealed by these scores. With the Ngram(1,2) representation, the LinearSVC algorithm achieved an impressive accuracy score of 89.1%, making it stand out as the best performer among all feature representations.

关键词： Machine Learning Opinion Mining Sentiment Analysis Natural Language processing Twitter Lexical Semantic Arabic Language

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Human and machine annotation in the Orchive, a large scale bioacoustic archive

Human and machine annotation in the Orchive, a large scale b...

引用

IEEE Global conference on signal and Information processing (GlobalSIP)

作者： Ness, Steven Tzanetakis, George Univ Victoria Dept Comp Sci Victoria BC V8W 2Y2 Canada

ISBN: (纸本)9781479970889

Advances in computer technology have enabled the collection, digitization, and automated processing of huge archives of bioacoustic sound. Many of the tools previously used in bioacoustics research work well with small to medium-sized audio collections, but are challenged when processing large collections ranging from tens of terabytes to petabyte size. The Orchive is a system that assists researchers to listen to, view, annotate and run advanced audio feature extraction and machine learning algorithms on large bioacoustic archives. Annotation is one of the biggest challenges in our work. In this paper, we describe our efforts to utilize experts as well as citizen scientists to participate in the process of annotating recordings. The Orchive contains over 23,000 hours of orca vocalizations collected over the course of 30 years, and represents one of the largest continuous collections of bioacoustic recordings in the world. Manual annotation is practically impossible and therefore we investigate the effectiveness of a semi-automatic approach for extracting information from these recordings, and show various experimental results. Finally we have been able to apply our automatic analysis over the a large portion of the archive and describe the computational resources required. To the best of our knowledge this is the largest archive of bioacoustic data that has even been automatically analyzed.

关键词： audio signal processing bioacoustics data analysis Orchive advanced audio feature extraction algorithm annotating recordings automatic analysis bioacoustic data bioacoustic recordings bioacoustic sound human annotation large scale bioacoustic archive machine annotation machine learning algorithm manual annotation medium-sized audio collections orca vocalization Accuracy Kernel Logistics Machine learning algorithms Support vector machines Whales Machine learning algorithms bioacoustics automatic analysis audio signal processing archives Whale Logistics Support Vector Network ANNOTATIONS Computer technology Kernel Recordings Data analysis

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Design and Implementation of Long Range Radar Service Life Extension

Design and Implementation of Long Range Radar Service Life E...

引用

2009 IEEE Radar conference

作者： Wang, Jian Gerecke, Mark Brookner, Eli Cornwell, Peter Farr, John Raytheon Canada Ltd 400 Phillip St Waterloo ON Canada Raytheon Co Sudbury ON Canada FAA Washington DC 20591 USA

ISBN: (纸本)9781424428700

This paper presents an overview of a service life extension program that is being applied to the continental US Long Range Radar (LRR) network. Initially the architecture of the system is presented and key components selected for upgrade are identified. In addition to hardware upgrades innovative signal processing algorithms have also been added. The LRR consists of 68 radars that are used for the joint purposes of air traffic control and surveillance. The upgraded radar consists of a solid state transmitter, a state-of-the-art receiver and signal data processor. With advanced signal processing algorithms, the upgraded radar system provides 200 nmi coverage in natural interference environment while minimizing the false alarms. The radar has also been upgraded to enhance weather detection performance.

关键词： signal receivers

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Architecture for real time wood inspection

Architecture for real time wood inspection

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

作者： Malasne, N Paindavoine, M Lab Elect & Informat Image F-21078 Dijon France

This study has been realized to improve industrial machines that allow to analyze planks by detecting their width and too important defects thanks to a computer vision system. These machines are currently piloted by s... 详细信息

ISBN: (纸本)0819437611

关键词： real time processing defects detection FPGA

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CYCLE EFFICIENT BIT RATE MATCHING FOR LTE-A WITH INSRUCTIONS SUPPORT

CYCLE EFFICIENT BIT RATE MATCHING FOR LTE-A WITH INSRUCTIONS...

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IEEE International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Lin, Jui-Chieh Hu, Yu Hen Univ Wisconsin Madison Dept Elect & Comp Engn Madison WI USA

ISBN: (纸本)9781479903566

Efficient software implementation of Long Term Evolution advanced (LTE-A) wireless standard over word-based micro-processor architecture is investigated. The very high data rate of LTE-A requires more sophisticated and high throughput bit level algorithms. Due to data format mismatch, traditional word-based microprocessors face great challenge implementing these complex bit-manipulations. In this work, the implementation of bit-level interleaving operation using perfect shuffling word-level instruction is studied. In particular, an efficient implementation of bit-rate matching algorithm is demonstrated on the Texas Instruments c6416 CCS cycle accurate simulator with order of magnitude performance enhancement.

关键词： Long Term Evolution vector processing software defined radio bit rate matching

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A Novel Frequency Estimation Method for Accurate Bearing Fault Frequencies Identification

A Novel Frequency Estimation Method for Accurate Bearing Fau...

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IEEE/ASME International conference on advanced Intelligent Mechatronics (AIM)

作者： Heryadi, Budi Tjahjowidodo, Tegoeh Nurprasetio, Ignatius Pulung Abidin, Zainal Inst Teknol Bandung Bandung 40132 Indonesia Nanyang Technol Univ Singapore 639798 Singapore

ISBN: (纸本)9781538618547

This paper presents a novel method that alleviates classical problem in signal processing, which is referred to as spectral leakage caused by incoherent sampling. In such case, the actual signal is commonly misinterpreted in the frequency spectrum. The proposed method is developed in two steps. Firstly, a mathematical manipulation is carried out to derive the analytical solution to the DFT (Discrete Fourier Transform) algorithm since the actual signal frequency will be obtained from the two highest DFT points. Secondly, an algorithm employing the analytical solution is developed. To validate the performance of the method, a number of experiments are conducted. The results of the experiments verify that the proposed method manages to identify the actual frequency of any single-frequency signal with high accuracy. In addition, another numerical experiment involving a multi-frequency signal proves that the proposed method performs frequencies extraction with high accuracy. This good performance is also confirmed by an accurate extraction of bearing-fault frequencies.

关键词： Discrete Fourier transforms Frequency estimation Time-frequency analysis Indexes signal processing algorithms Mathematical model"

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Space-time beamforming for randomly distributed sensors

Space-time beamforming for randomly distributed sensors

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SPIE conference on advanced signal processing algorithms, Architectures, and Implementations VIII

作者： Yao, K Hudson, RE Reed, CW Chen, D Tung, TL Lorenzelli, F Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90095 USA

ISBN: (纸本)0819429163

We briefly review the signal processing architecture of a wireless MEM sensor system for source detection, signal enhancement, localization, and identification. A blind beamformer using only the measured data of randomly distributed sensors to form a sample correlation matrix is proposed. The maximum power collection criterion is used to obtain array weights from the dominant eigenvector of the sample correlation matrix. An effective blind beamforming estimation of the time delays of the dominant source is demonstrated. Source localization based on a novel least-squares method for time delay estimation is also given. Array system performance based on analysis, simulation, and measured acoustical/seismic sensor data is presented. Applications of such a system to multimedia, intrusion detection, and surveillance are briefly discussed.

关键词： random array array processing beamforming space-time filtering MEM sensor sensor network

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advanced Techniques in Adaptive Beamforming for Enhanced DOA Estimation 20

Advanced Techniques in Adaptive Beamforming for Enhanced DOA...

引用

20th IEEE International Wireless Communications and Mobile Computing (IEEE IWCMC) - Green and Intelligent Communications

作者： Chai, Yuqing Res Inst China Telecom Dept Mobile Commun & Terminal Technol Res Beijing Peoples R China

ISBN: (纸本)9798350361261;9798350361278

Direction of Arrival (DOA) estimation remains a pivotal aspect in the field of signal processing, finding applications across diverse domains. This paper introduces an innovative approach to DOA estimation by integrating adaptive beamforming techniques. We start by exploring the adaptive array theory, focusing on pattern synthesis and beamforming algorithms to enhance signal clarity and direction detection. The paper then delves into the application of Machine Learning (ML) algorithms for dynamic environment adaptation and improved accuracy in DOA estimation. Our approach contrasts the conventional methods by leveraging adaptive beamforming combined with ML, resulting in not only enhanced estimation accuracy but also in adaptability to varying signal conditions. The paper presents comparative analyses with traditional methods, demonstrating the potential of this integrated approach in complex signal environments.

关键词： Adaptive Beamforming DOA Estimation Machine Learning Array signal processing

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Spatial polarimetric time-frequency distributions and applications to direction-of-arrival estimation

Spatial polarimetric time-frequency distributions and applic...

引用

conference on advanced signal processing algorithms Architectures and Implementations XIII

作者： Zhang, YM Amin, MG Obeidat, BA Villanova Univ Ctr Adv Commun Villanova PA 19085 USA

ISBN: (纸本)0819450782

Time-frequency distributions (TFDs) have evolved to be a powerful technique for nonstationary signal analysis and synthesis. With the use of a multi-sensor array, spatial time-frequency distributions (STFDs) have been developed and successfully applied to high-resolution direction-of-arrival (DOA) estimation and blind recovery of the source waveforms. In this paper, the polarimetric dimension is introduced to the STFDs resulting in the spatial polarimetric time-frequency distributions (SPTFDs) as a platform for the processing of non-stationary polarized signals. In the SPTFD platform, polarized signals are decomposed (projected) into two orthogonal polarization components, such as horizontal and vertical, and later processed in a manner where their polarization characteristics are exploited. This empowers the STFDs with additional degrees of freedom and improves the robustness of the signal and noise subspaces, and therefore, serving to enhance DOA estimation, signal recovery, and source separation performance. To demonstrate the advantages of the SPTFDs, the polarimetric time-frequency MUSIC (PTF-MUSIC) method for DOA estimation is proposed based on the SPTFD platform and is shown to outperform the time-frequency, polarimetric, and conventional MUSIC methods.

关键词： time-frequency distributions array signal processing polarization smart antennas MUSIC

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Two-dimensional signal gating for low power in high-performance multipliers

Two-dimensional signal gating for low power in high-performa...

引用

conference on advanced signal processing algorithms Architectures and Implementations XIII

作者： Huang, ZJ Ercegovac, MD Univ Calif Los Angeles Dept Comp Sci Los Angeles CA 90095 USA

ISBN: (纸本)0819450782

We propose two-dimensional signal gating for high-performance multipliers including tree multipliers and array multipliers with an upper/lower left-to-right leapfrog (ULLRLF) structure. In ULLRLF array multipliers, the G-Y gating line follows the boundary of existing upper/lower partitioning. The G-X gating line goes through the upper and lower LRLF arrays. In tree multipliers, the G-Y gating line follows the existing partitioning of tree branches. The G-X line goes through all carry-save adders for partial product reduction. Because of the irregularity of the tree reduction structure, signal gating in tree multipliers is more complex than that in array multipliers. Experimental results indicate that two-dimensional gating is quite efficient in high-performance multipliers, with 65% power reduction under test data with large dynamic range.

关键词： signal gating low-power design high-performance multiplier

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