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IEEE 3rd international conference on signal and Image processing (ICSIP)

作者： Huang, Zhirui He, Xiaxu Liu, Pengfei Chen, Yanhua Zhang, Weifeng South China Agr Univ Coll Math & Informat Guangzhou Guangdong Peoples R China South China Univ Technol Res Ctr Social Work Guangzhou Guangdong Peoples R China South China Univ Technol Sch Comp Sci & Engn Guangzhou Guangdong Peoples R China

ISBN: (纸本)9781538663967

With the emergence of big data and the development of mobile devices, mobile data mining has received more and more attention. It shows its unique advantages, but it also exposes its inability to handle large datasets efficiently. Based on the traditional mobile data mining project, we combined cloud computing and proposed and implemented the MobileWeka2 model based on cloud computing. In order to prove the feasibility of the model, we conducted different data mining experiments on multiple data sets. Experimental results show that this model can efficiently process large data sets and solve the problems of traditional mobile data mining.

关键词： cloud computing data mining weka mobile computing

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Estimation of signal characteristics in seismic ground motions

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PROBABILISTIC ENGINEERING MECHANICS 1996年第4期11卷 229-242页

作者： Zerva, A Zhang, O Department of Civil and Architectural Engineering Drexel University Philadelphia PA 19104 USA

In this study it is investigated whether signal processing techniques and least-square minimization methods applied to seismic data can identify the deterministic signal components that contribute significantly to the motions. The identification of these deterministic components would then allow the treatment of the remaining part of the time histories as random and result in better descriptions of the stochastic ground motion characteristics. This paper describes the methodology and applies the approach to analytically evaluated seismic ground motions at an array of sensors. Commonly used signal processing techniques are briefly described and compared, and an efficient least-square minimization scheme is introduced. The analysis indicates that the signals can be identified with their frequency, wavenumber, amplitude and phase. Copyright (C) 1996 Elsevier Science Ltd

关键词： Seismology

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A Wide-band Reference-less Bidirectional Continuous-Rate Frequency Detector 3

A Wide-band Reference-less Bidirectional Continuous-Rate Fre...

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3rd international conference on Recent Advances in signal processing, Telecommunications and Computing (IEEE SigTelCom)

作者： Pham Manh Ha Nguyen Huu Tho Hoang Hong Hanh Quang Nguyen-The Vietnam Telecommun Author 115 Tran Duy Hung Hanoi Vietnam Le Quy Don Tech Univ Dept Commun Engn 236 Hoang Quoc Viet Hanoi Vietnam

ISBN: (纸本)9781538679630

This paper presents a wide-band half-rate frequency locked loop (FLL) circuit in 180 nm CMOS process. The bidirectional FLL includes a coarse frequency detector (CFD) and a fine frequency detector (FFD) to automatically detect a change in input data rate, acquires the new frequency without the need for an external reference clock or any programming. A modified CFD is proposed to reduce the frequency acquisition time. The simulation shows the FLL achieves wide lock range of 400Mb/s-to-2.6Gb/s and frequency acquisition time of 1.73 mu s.

关键词： Bidirectional frequency detector reference-less wide-band continuous-rate clock and data recovery

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Optimized Detection of Continuous Gravitational-Wave signals using Convolutional Neural Network 3

Optimized Detection of Continuous Gravitational-Wave Signals...

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3rd international conference on Artificial Intelligence and signal processing, AISP 2023

作者： Duraisamy, Premkumar Natarajan, Yuvaraj Niranjani, V. Parvathy, K. KPR Institute of Engineering and Technology Department of Artificial Intelligence and Data Science Coimbatore India KPR Institute of Engineering and Technology Department of Computer Science and Engineering Coimbatore India Sri Eshwar College of Engineering Department of Computer Science and Engineering Coimbatore India Dr NGP Institute of Technology Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350320749

Identifying gravitational waves produced by binary black hole mergers has sparked an unheard-of revolution in physics and astronomy. However, due to the low magnitudes of gravitational wave signals and the inevitability of detector noise, proper processing of gravitational wave data is in high demand. In this research, we propose a deep learning technique termed convolution neural network based on a set of time-series data from '***/datasets/andradaolteanu/g2net-gravitational-wave-dataset' that contains simulated gravitational waves with noise. This work uses a convolution neural network and Fourier transformation-based gravitational wave signal recognition model (CNN). According to experimental findings, the frequency-domain signal graph describes the gravitational wave signal's features more accurately than the time-domain signal. The signal recognition accuracy has been improved using CNN's convolutional processing. © 2023 IEEE.

关键词： Gravity waves

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An Approach of Algorithmic Clustering Based on String Compression to Identify Bird Songs Species in Xeno-canto database 3

An Approach of Algorithmic Clustering Based on String Compre...

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3rd international conference on Frontiers of signal processing (ICFSP)

作者： Sarasa, Guillermo Granados, Ana Rodriguez, Francisco B. Univ Autonoma Madrid Escuela Politecn Super Madrid Spain Univ Complutense Madrid CES Felipe II Madrid Aranjuez Spain

ISBN: (纸本)9781538610381

In this work, we analyze the usefulness of the normalized compression distance (NCD) as a similarity measure to bird species identification through audio samples. As a first approach we review the effect of different compression methods from 7z and CompLearn Toolkit, over subsets of bird audio samples obtained from the xeno-canto database. The performance of each compression method was measured applying hierarchical clustering and projection mapping to the distance matrix, and later on, measuring the quality of both of them. Our results are very promising and show that the identification of a bird species among multiples audio samples is possible through NCD-basedon clustering.

关键词： data mining normalized compression distance clustering dendrogram bird sound classification silhouette coefficient multidimensional projections compression algorithms similarity

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Binary tree image coding based on region

Binary tree image coding based on region

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3rd international conference on signal processing (ICSP 96)

作者： Guo, J Zhao, RC Zhu, CG Institute of Remote Sensing Applications Chinese Academy and Sciences China Northwestern Polytechnical University China IRSA CAS China

ISBN: (纸本)7505338900

A new image coding method based on image region is proposed in this paper. According to the features of the image gray surface, an image is partitioned into many convex polygons which appoximate the original image as close as possible. The experimental results show that good quality of the reconstructed image can still be obtained when the data compression ratio is more than 20:1 and SNR is more than 30dB.

关键词： image coding data compression image segmentation trees (mathematics) image reconstruction feature extraction binary tree image coding image region image gray surface features convex polygons partitioned image experimental results reconstructed image quality data compression ratio SNR

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An object-oriented data cache architecture for programmable parallel digital signal processors 3

An object-oriented data cache architecture for programmable ...

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3rd international conference on Algorithms and Architectures for Parallel processing (ICA(3)PP)

作者： Kneip, J Univ Hannover Informat Technol Lab D-30167 Hannover Germany

ISBN: (纸本)0780342291

The paper describes concept and implementation of a data cache architecture with concurrent conflict free access to shared data for DSPs with parallel, synchronized processing units. It utilizes techniques known from object-oriented software design to achieve efficient and programmer friendly on-chip storage of data. The cache internally uses virtual 1D or 2D address spaces directly assigned to data structures instead of a conventional, linear address space. data within the cache are distributed to a number of memory banks. Virtual local addresses are used for data location and hit/miss detection to minimize cost and memory latency. The object-oriented cache is fully transparent to programmer and compiler, reduces the amount of address calculations to be performed, exploits the 2D spatial locality typical for image processing algorithms and can be integrated into a standard RISC processor pipeline.

关键词： Digital signal processors

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Research on high-speed processing of array ultrasonic signal based on FPGA 3

Research on high-speed processing of array ultrasonic signal...

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3rd IEEE international conference on Electronic Technology, Communication and Information, ICETCI 2023

作者： Wang, Lirong Zhang, Shuaitao Wang, Beining Harbin University of Science and Technology Harbin China Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (纸本)9798350398410

In array ultrasound imaging, because the software needs to process a large amount of raw data, it is not easy to improve the imaging rate of the system. This paper uses FPGA to realize the high-speed processing of ultrasound images based on array ultrasound transducers with 64 array signals intercepted in parallel. After that, it performs histogram equalization on the image in the FPGA, and finally sends the processed result to the computer for display. This study can significantly improve the array ultrasound signal processing rate, thereby increasing the continuous imaging frame rate of the imaging system. In addition, when designing the pixel value accumulation module, the system innovatively uses a dedicated RAM instead of a counter array for statistics, which can reduce hardware resources. © 2023 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Unconstrained optimization criteria for blind equalization of multichannel linear systems of nonminimum phase

Unconstrained optimization criteria for blind equalization o...

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3rd international conference on signal processing (ICSP 96)

作者： Inouye, Y Sato, T Osaka Univ Osaka Japan

ISBN: (纸本)7505338900

Blind equalization and blind deconvolution have been an important interesting topic in diverse fields including data communication, image processing and geophysical data processing. Recently, Inouye and Babe proposed a multistage maximization criterion and a single-stage maximization criterion for attaining the blind equalization of multichannel linear time-invariant systems. However, their maximization criteria should be subjected to several constraints of equations. In this paper, we present unconstrained new maximization criteria for accomplishing the blind equalization of multichannel linear time-invariant systems. Stochastic gradient algorithms are proposed for solving the unconstrained maximization problems. Simulation examples are included to examine the performance of the proposed algorithms.

关键词： signal processing

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ECG signal processing using Offline-Wavelet Transform Method based on ECG-IoT Device 3

ECG Signal Processing using Offline-Wavelet Transform Method...

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3rd international conference on Information Technology, Computer, and Electrical Engineering (ICITACEE)

作者： Amri, M. Faizal Rizqyawan, Muhammad I. Turnip, Arjon Indonesian Inst Sci Tech Implementat Unit Instrumentat Dev Bandung Indonesia

ISBN: (纸本)9781509008902

In this paper, a wireless system for human heart monitoring/Electrocardiograph (ECG) based on Android Smartphones was proposed. The Cardiac signals was recorded from three electrodes and attached to a subject's body that connected to the ECG amplifier module. In this module, the signals were pre-prosessed and sending the result to the smartphone via Bluetooth. Next step, the result of signals stored in the database (computer server) and SD card from smartphones. Furthermore, the signals that stored were synchronized with Cloud Server through the Internet using the Rest API as Final data. The final data signal was displayed on the web to be used by users in real time. Its can be used and processed by algorithms of signal processing for further analysis using Wavelet Transform (WT). Finally, this system well used for application monitoring heart signals accurately

关键词： ECG Android signal processing IoT Wavelet Transform

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