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检索条件"任意字段=3rd International Conference on Signal and Data Processing, ICSDP 2023"

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Low Cost Design of a PC Based Integrated System for signal Measurement and Generation using Microcontroller

Low Cost Design of a PC Based Integrated System for Signal M...

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2010 2nd international conference on signal processing System(2010年信号处理系统国际会议 ICSPS 2010)

作者： Mir Mohammad Nazmul Arefin Tanvir Ahammad Mir Nahidul Ambia A.S.M Shihavuddin Electrical and Electronic Engineering Department Stamford University Dhaka Bangladesh Electrical and Electronic Engineering Department Eastern University Dhaka Banglades VIBOT 3rd generation and Lecturer (On leave) EEE DepartmentIUT

This paper presents a low cost device for both measurement and generation of electrical signal used in any basic electrical experiment. The total project has one hardware unit based on a microcontroller which can receive and generate analog signal by the command of PC software and the PC software interface which is capable of displaying the measuring signal, send command for desired signal generation and export data to other simulation software. This PC software is also capable of doing different simple analysis and export data to software like MATLAB. The performance of the device is satisfactory and there are many scopes to enhance its features in the future.

关键词： Oscilloscope signal Generator Microcontroller ADC signal Analysis Low cost.

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Doppler blood flow signal analysis meets traditional Chinese pulse diagnosis

Doppler blood flow signal analysis meets traditional Chinese...

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international conference on BioMedical Engineering and Informatics (BMEI)

作者： Xiaorui Jiang Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

In traditional Chinese pulse diagnosis (TCPD), diseases of internal organs can be detected by recognizing pulse waveform patterns of wrist radial arterial. However pulse waveform analysis, for which Doppler diagnosis is a powerful tool, is limited to cardiovascular diseases. This paper tries to fill the gap between TCPD and Doppler diagnosis by applying signal analysis and pattern recognition technologies to Doppler blood flow signals (DBFS's) of wrist radial arterial, which are recorded from both hands of healthy people, gastritis and cholecystitis patients. DBFS's are classified using the features proposed by an L2-soft margin support vector machine (L2-SVM): five clinical Doppler parameters (DP), wavelet energies (WE), wavelet packet energies (WPE), and piecewise axially integrated bispectra (PAIB). 5-fold cross validation is used for performance evaluation. The sick are differentiated from the healthy with an accuracy of about 80% using DP, WE and WPE, while the classification rate between gastritis and cholecystitis reaches 100%. Using PAIB, ether two groups of subjects are classified with accuracy greater than 93%. Gastritis is more accurately recognized than cholecystitis, while the latter is recognized with a higher accuracy on data from the left hand than right. Though the sample size is relatively small, we still argue that the methods proposed here are effective and could serve as an assisstive tool for TCPD.

关键词： Doppler effect Wavelet packets Feature extraction Diseases Wrist Pathology Accuracy

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A Novel Multi-user Low Complexity Bit Allocation Algorithm in Cognitive OFDM Networks Based on AM-GM Inequality

A Novel Multi-user Low Complexity Bit Allocation Algorithm i...

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2010 The IET 3rd international conference on Wireless,Mobile & Multimedia Networks(第三届IET无线移动及多媒体网络国际会议 ICWMMN 2010)

作者： Dawei Sun Baoyu Zheng Institute of Signal Processing and Transmission Nanjing University of Posts and Telecommunications Nanjing P.R.China

ISBN: (纸本)9781849192408

Multi-user cognitive orthogonal frequency division multiplexing (C-OFDM) is an extremely promising technique for achieving high transmission capacity in the next generation cellular and wireless local area network (WLAN) systems with limited spectrum resources. Since the greedy bit allocation algorithm is the optimal method for single user, however, in the case of plenty of users and bits to be distributed, the computational complexity will be extraordinarily unacceptable. This paper presents a new bit and power allocation scheme for C-OFDM systems with the purpose of minimizing the interference power by constraining the fixed data rate and bit error rate. The presented bit allocation algorithm is derived from geometric sequence of the additional one bit transmission power required by the sub-carriers and the AM-GM inequality. Consequently, compared with the algorithm existing now, this algorithm has a simple procedure and low computational complexity. The MATLAB Simulation results show that the proposed algorithm is superior to the traditional algorithm, while reducing the computational complexity from exponential to linear in the number of sub-carriers.

关键词： Cognitive OFDM Bit Allocation Geometric Sequence AM-GM Inequality Computational Complexity

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The signal Acquisition and processing of High Pressure Homogenization Process

The Signal Acquisition and Processing of High Pressure Homog...

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2010 3rd IEEE international conference on Computer Science and Information Technology—ICCSIT 2010

作者： Liu Bin1,2, Wang Jing2, Liu Meilian2, Feng Tao2 1. College of Engineering , China Agricultural University , Beijing, China 2. College of Mechanical Engineering, Beijing Technology and Business University, Beijing, China

The signal acquisition and processing of homogenizing pressure in high pressure homogenizer are studied. For the measuring requirements of dynamic parameters in high pressure homogenizer, pressure transmitter, the signal collecting circuits about intensifier pump's motion were selected. The signal acquisition system can perform the functions such as signal collecting, recording and data recalling and so on. Moreover, the wavelet decomposition using 'sym4' at level 10 was used for de-noising of homogenizing pressure signal. The decomposed signal is selected through Birge-Massart threshold strategy and reconstructed. After collected and processed, the homogenizing pressure signal can be the foundational data for analyzing the homogenizing process and improving the crucial structure of high pressure homogenizer.

关键词： high pressure homogenization signal acqusition wavelet transform de-noising

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An Improved SCS Algorithm Based on LINC Transmitter

An Improved SCS Algorithm Based on LINC Transmitter

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2010 3rd IEEE international conference on Computer Science and Information Technology—ICCSIT 2010

作者： Qing Wang,Ziming Zhong School of Electronic Engineering University of Electronic Science and Technology of China Chengdu,China Xiang Lin College of Computer Science Sichuan University Chengdu,China

This paper proposes an improved signal component separation(SCS) method to solve the non-constant envelop modulated signals through traditional SCS in LINC(Linear Amplification With Nonlinear Components) *** basic idea of this algorithm is to analyze the angle between adjacent signals,then adopting the method which can improve the signal peak to average power ratio(PAPR) and introducing the idea of "keep and go",to minimize envelope mutations caused by the errors from COrdIC algorithm processing,so that the ideal signal envelope can be *** experimental simulation demonstrated the effectiveness and feasibility of this *** signal PAPR can be reduced to 0.0010dB through data from experimental measurements,which is more convenient for linear power amplifier design.

关键词： signal component separation COrdIC algorithm amplitude and phase separation constant envelop envelop mutations

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Wireless Sensor Networks based on Compressed Sensing

Wireless Sensor Networks based on Compressed Sensing

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2010 3rd IEEE international conference on Computer Science and Information Technology—ICCSIT 2010

作者： Zhuang Xiaoyan School of Automation Engineering University of Electronic Science and Technology of China Chengdu,China Wang Houjun,Dai Zhijian School of Automation Engineering University of Electronic Science and Technology of China Chengdu,China

The data collected through high densely distributed wireless sensor networks is *** asymmetry between the data acquisition and information processing makes a great challenge to the restriction of energy and computation consumption of the sensor nodes,and it limits the application of wireless sensor ***,the recent works show that compressed sensing can break through this limitation of *** sensing is an emerging theory that is based on the fact that a signal can be recovered through a relatively small number of random projections which contain most of its salient *** this paper,we introduce the background of compressive sensing,and then applications of compressed sensing in wireless sensor networks are presented.

关键词： wireless sensor networks data compression compressed sensing sparsity

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Equi-amplitude Tracing Algorithm Based on Base-band Pulse UWB Radar signal in Vital signal Detecting

Equi-amplitude Tracing Algorithm Based on Base-band Pulse UW...

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2010 3rd international conference on Future BioMedical Information Engineering (FBIE 2010)

作者： Yifang Xie Center for Space Science and Applied research Chinese Academy of Sciences Haidian District, Beijing, China Weiming Xiong Center for Space Science and Applied research Chinese Academy of Sciences Haidian District, Beijing, China

In this paper a novel algorithm, i.e. the equiamplitude tracing algorithm,for vital signal detection using Ultra Wideband (UWB) pulse radar is presented. In the detection process, the desired reference fast time that associated with the average distance between the human being and radar antenna is obtained in the first place by band-pass and maximum filtering. By calculating time differences between the desired fast time and the fast time of the equi-amplitude point in subsequent A-scan data, the vital signal can be extracted efficiently. A prototype of UWB radar with 200-300ps transmitted pulse duration was developed. The experiments demonstrate that the detecting scheme and the signal processing algorithm are feasible. The vital signal (respiration and heart beating) and the distance between human being and radar antenna can be obtained simultaneously.

关键词： UWB radar, vital signal detecting, frequency spectrum searching, equi-amplitude tracing.

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A New Multi-lead ECG data Compression Algorithm Based on Sparse Analysis

A New Multi-lead ECG Data Compression Algorithm Based on Spa...

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2010 3rd international conference on Future BioMedical Information Engineering (FBIE 2010)

作者： Yongting Li, Xiaoyan Chen and Yuewen Liu Department of Electric Power Inner Mongolia University of Technology Huhhot, Inner Mongolia, China

Sparse decompression is a new theory for signal processing, having the advantage in that the base (dictionary) used in this theory is over-complete, and can reflect the nature of signa1. So the sparse decompression of signal can get sparse representation, which is very important in data compression. In this paper, a novel ECG compression method for multi-lead ECG signals was proposed using the Orthogonal Matching Pursuit (OMP) and two-step vector quantization. The proposed method computes adaptive signal representation with a dictionary, a combination of Hermite functions and Gabor functions. It can not only improve the compression ratio of single-lead signals, but can also realize the multi-lead holistic compression by using the information redundancy among the leads. Compression performance has been tested using a subset of multi-lead ECG records from the St.-Petersburg Institute of Cardiological Technics database, the experimental results demonstrate the effectiveness of the proposed method.

关键词： Multi-lead ECG Compression Sparse Decomposition Vector Quantization

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Design and FPGA Implementation of the 256 Points Radix-4 IFFT Module for OFDM System

Design and FPGA Implementation of the 256 Points Radix-4 IFF...

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2010 3rd international conference on Future BioMedical Information Engineering (FBIE 2010)

作者： Huang Hongcheng 1 Li Jian 2 Lu Yan 1 Wan Jun 1 Chen Meng Tian1 Pu Feng1 1 ChongQing University of Posts and Telecommunications 2ChongQing Civil Defence Office ChongQing, China

For high-speed digital signal processing requirements,this paper proposed a FPGA design scheme of the Radix-4 IFFT using frequency selected based on analysis fast Fourier *** the existing FPGA implementation process,the computation of butterflies needs to multiply many twiddle factor *** improvement method was aimed at reduceing the multiplication number and memory space of twiddle factors,which could speed up the butterfly *** design of adderss mapping could get position of data without *** combination of using the structure of ping-pang RAM and the pipelining,the speedof the IFFT’s FPGAimplementation can be *** realize circuit of the IFFT processor on one *** module has been simulated by timing and verified by data to judge the correctness of the design,and the IFFT’s work frequency achieves *** future design and expectation of the FPGA implementation of IFFT are described at last[1].

关键词： OFDM, IFFT, FPGA, Twiddle factor, Butterfly, Ping-pang structure,RAM

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DSP Image Process With Optimized data Schedule Model

DSP Image Process With Optimized Data Schedule Model

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2010 3rd IEEE international conference on Computer Science and Information Technology—ICCSIT 2010

作者： YAO Si-Cong Key Laboratory of Specialty Fiber and Optical Access Networks,School of Communication and Information Engineer,Shanghai University,Shanghai,200072,China Wen Wei Key Laboratory of Specialty Fiber and Optical Access Networks,School of Communication and Information Engineer,Shanghai University,Shanghai,200072,China ZHANG Zhi-Jiang Key Laboratory of Specialty Fiber and Optical Access Networks,School of Communication and Information Engineer,Shanghai University,Shanghai,200072,China ZENG Dan Key Laboratory of Specialty Fiber and Optical Access Networks,School of Communication and Information Engineer,Shanghai University,Shanghai,200072,China

This paper introduces a DSP optimization model based on data structure transformation and memory schedule for real-time image process. This model implements 4 critical methods: image block, image dimension reduction, DMA transfer and ping-pong cache, which makes use of DSP hardware feature and optimizes the data schedule among the external and internal memory and CPU, while processing 2D digital signal such as images and video frames. This model provides a common strategy which can be used in the most of linear image process circumstances. Based on this model, this paper optimized a grayscale image matching algorithm and improved its efficiency, in order to verify the effectiveness of this model.

关键词： DSP data structure memory schedule DMA ping-pong cache image matching

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