2014 IEEE REGION 10 SYMPOSIUM最新文献_第2页

Narrowband digital filtering with random frequency hopping spread spectrum 随机跳频扩频窄带数字滤波

2014 IEEE REGION 10 SYMPOSIUM Pub Date : 2014-04-14 DOI: 10.1109/TENCONSPRING.2014.6863110

A. Zeher, S. Binczak, Jérôme Joli

{"title":"Narrowband digital filtering with random frequency hopping spread spectrum","authors":"A. Zeher, S. Binczak, Jérôme Joli","doi":"10.1109/TENCONSPRING.2014.6863110","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2014.6863110","url":null,"abstract":"In digital signal filtering, channels with narrow bandwidth need high order digital filter to be selected without introducing modulation errors. If a carrier randomly switches from a channel to another as in military applications, or some civilian communication standards, it is necessary to detect and estimate these jumps before transposing and analyzing signals in the baseband. This paper presents a real time solution to filter narrow band signals with random frequency hopping spread spectrum. The proposed method is based on three steps. Firstly, the detection of Signal Frequency Hopping (SFH) using the Fast Fourier Transform (FFT), an algorithm to estimate the Dominant Frequency Value (DFV) is developed, it is necessary for better refining the original detection, in particular, with modulated signals. Secondly, the estimated frequency value is scaled and used with a Numerically Controlled Oscillator (NCO) in order shift the interest channel to baseband. Thirdly, the transposed channel in base band is selected using low pass Finite Impulse Response (FIR) filters. Whereas, the multi rate filtering techniques guarantee the high selectivity and low orders of these FIR filters. Each of the following stages is described in detail later in this paper, synthesizing these steps leads to the proposed solution, that is validated by using GSM signals. The algorithms are implemented in Field Programmable Gate Array (FPGA) Altera Cyclone III family.","PeriodicalId":270495,"journal":{"name":"2014 IEEE REGION 10 SYMPOSIUM","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127879026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Differences in cortico-cortical functional connections between children with good and poor handwriting: A case study 书写好与书写差儿童皮质-皮质功能连接的差异:个案研究

2014 IEEE REGION 10 SYMPOSIUM Pub Date : 2014-04-14 DOI: 10.1109/TENCONSPRING.2014.6862993

S. Hashim, N. Safri, P. I. Khalid, M. A. Othman, J. Yunus

{"title":"Differences in cortico-cortical functional connections between children with good and poor handwriting: A case study","authors":"S. Hashim, N. Safri, P. I. Khalid, M. A. Othman, J. Yunus","doi":"10.1109/TENCONSPRING.2014.6862993","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2014.6862993","url":null,"abstract":"The aim of the study is to investigate the directional connectivity in brain between children who has good handwriting and poor handwriting. Two children participated in the case study. Test subject was the one that showed symptoms of handwriting difficulty and was identified by her teacher as below average writer. Control subject on the other hand was the one that did not show any symptom of handwriting difficulty and was confirmed by her teacher as average writer. Subjects must trace on the digitizing tablet three different unlined shapes. While doing the drawing task, brain signal were recorded using electroencephalogram (EEG) machine to analyze the information pathway using partial directed coherence (PDC) method in Linux open source. Results showed that subject with poor handwriting mostly drew with non-preferred movement and the brain region that became the source of functional coupling was the frontal region where planning and organizing for execution are performed. Mean-while, subject with good handwriting had performed the tracing with preferred movement and PDC showed that the information source came from occipital area, an indication of visual input and sinked to various brain regions, including temporal area for recognizing shape and frontal area for planning and organizing movement. As conclusion, brain analysis of poor handwriting child shows that the movement planning was poorly executed since frontal area does not have any input from any other sources compared to the brain of good handwriting child which had some input from other sources that makes movement well-planned.","PeriodicalId":270495,"journal":{"name":"2014 IEEE REGION 10 SYMPOSIUM","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126567710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

High performance and low cost implementation of Fast Fourier Transform algorithm based on Hardware Software co-design 基于软硬件协同设计的快速傅里叶变换算法的高性能低成本实现

2014 IEEE REGION 10 SYMPOSIUM Pub Date : 2014-04-14 DOI: 10.1109/TENCONSPRING.2014.6863066

Naman Govil, S. R. Chowdhury

{"title":"High performance and low cost implementation of Fast Fourier Transform algorithm based on Hardware Software co-design","authors":"Naman Govil, S. R. Chowdhury","doi":"10.1109/TENCONSPRING.2014.6863066","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2014.6863066","url":null,"abstract":"The paper presents a high performance implementation of Fast Fourier Transform (FFT) algorithm using the notion of Hardware Software Partitioning. The co-design methodology was used to achieve higher system performance and design flexibility. The algorithm was originally implemented on a microcontroller (Atmegal6) but suffered from high execution delay. A low cost reconfigurable device like Spartan-3E Field Programmable Gate Array (FPGA) was then used to overcome this shortcoming, but the algorithm failed to be implemented on it, due to limited number of configurable logic blocks available within the capacity of the FPGA. Finally, a novel architecture has been realized based on hardware software partition with respect to implementation on microcontroller and FPGA together, such that the two devices communicate with each other, run synergistically and ensure optimality in power, delay and area. Also, a comparative study of the power dissipation, execution delay, area of implementing FFT on the different architectures: first, completely sequential (software), second, completely parallel, i.e. hardware (using FPGA) and third based on Hardware Software Co-design is performed. The power consumption of the co-design has been found to be 0.072W at a supply voltage 3.3V.","PeriodicalId":270495,"journal":{"name":"2014 IEEE REGION 10 SYMPOSIUM","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131381600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Developing multichannel surface EMG acquisition system by using instrument opamp INA2141 利用opamp INA2141开发多通道表面肌电信号采集系统

2014 IEEE REGION 10 SYMPOSIUM Pub Date : 2014-04-14 DOI: 10.1109/TENCONSPRING.2014.6863038

Hossein Ghapanchizadeh, S. A. Ahmad, A. J. Ishak

引用次数: 10

Performance evaluation of feature detection and feature matching for stereo visual odometry using SIFT and SURF 基于SIFT和SURF的立体视觉里程计特征检测和特征匹配性能评价

2014 IEEE REGION 10 SYMPOSIUM Pub Date : 2014-04-14 DOI: 10.1109/TENCONSPRING.2014.6863025

Norhayati Mohd. Suaib, M. Marhaban, M. Saripan, S. A. Ahmad

引用次数: 19

Small planar monopole UWB wearable antenna with low SAR 低SAR小型平面单极超宽带可穿戴天线

2014 IEEE REGION 10 SYMPOSIUM Pub Date : 2014-04-14 DOI: 10.1109/TENCONSPRING.2014.6863033

Wadhah A. M. Al ashwal, K. N. Ramli

引用次数: 8

Multi axis representation and Euclidean distance of muscle fatigue indexes during evoked contractions 诱发收缩时肌肉疲劳指标的多轴表示和欧氏距离

2014 IEEE REGION 10 SYMPOSIUM Pub Date : 2014-04-14 DOI: 10.1109/TENCONSPRING.2014.6863074

M. Yochum, T. Bakir, S. Binczak, R. Lepers

引用次数: 3

Mobile e-coli Detection Using Microwave Technique 微波技术移动检测大肠杆菌

2014 IEEE REGION 10 SYMPOSIUM Pub Date : 2014-04-14 DOI: 10.1109/TENCONSPRING.2014.6863072

S. Z. Aziz, N. Ramli, M. Jamlos, M. A. Jamlos

引用次数: 2

Biological sequence alignments: A review of hardware accelerators and a new PE computing strategy 生物序列比对:硬件加速器和新的PE计算策略综述

2014 IEEE REGION 10 SYMPOSIUM Pub Date : 2014-04-14 DOI: 10.1109/TENCONSPRING.2014.6862994

M. N. Isa, M. I. Ahmad, S. Murad, R. C. Ismail, K. Benkrid

引用次数: 3

RMSE comparison of path loss models for UHF/VHF bands in India 印度UHF/VHF波段路径损耗模型的RMSE比较

2014 IEEE REGION 10 SYMPOSIUM Pub Date : 2014-04-14 DOI: 10.1109/TENCONSPRING.2014.6863052

B. Sridhar, M. Z. Ali Khan

引用次数: 19