2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC)最新文献_第3页

An overview of methods for snow stratigraphy studies 积雪地层学研究方法综述

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719788

K. Tyagi, R. Bahl, Arun Kumar

{"title":"An overview of methods for snow stratigraphy studies","authors":"K. Tyagi, R. Bahl, Arun Kumar","doi":"10.1109/ICSPCOM.2013.6719788","DOIUrl":"https://doi.org/10.1109/ICSPCOM.2013.6719788","url":null,"abstract":"Seasonal snow cover is composed of several snow layers, which have different physical properties like density, porosity, tortuosity etc. The stratigraphy of snow describes the physical properties and behavior of these layers. Snow can be categorized into different types having different properties. Snow can be granular, fluffy, dry or wet. One of the properties of snow that can be determined from snow stratigraphy studies is the amount of water it contains; this is known as Snow Water Equivalent (SWE). Snow stratigraphy is useful in several applications like accurate assessment of water availability from snow melt, estimation of snow-pack strength etc. The knowledge of snow-pack strength can be useful for the prediction of avalanche sensitive regions. There are several techniques available for snow stratigraphy studies and the measurement of SWE. Most of these techniques are invasive and time consuming in nature. Researchers are working on promising non-invasive acoustic techniques along with signal processing methods for the snow stratigraphy studies. Several snow stratigraphy techniques along with their merits and demerits are discussed and, in particular, non-invasive acoustic techniques and their associated signal processing methods are presented.","PeriodicalId":272955,"journal":{"name":"2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114283173","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: 11

Multiple Aggregator Multiple Chain routing protocol for heterogeneous wireless sensor networks 异构无线传感器网络的多聚合器多链路由协议

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719769

Pulagam Harichandan, A. Jaiswal, Sunil Kumar

引用次数: 9

Measurement of piezoelectric based tactile sensor using low cost setup 基于低成本设置的压电触觉传感器测量

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719822

A. K. Sinha

引用次数: 0

Optical communication networks for industrial applications 工业用光通信网络

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719755

B. Rawat, S. V. Thangaraj, J. Pistora

引用次数: 1

Low power and area efficient implementation of BCD adder on FPGA BCD加法器在FPGA上的低功耗高效实现

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719834

Shambhavi Mishra, G. Verma

引用次数: 22

Investigation: Use of electrocardiogram as a biometric over longer time period 调查:在较长时间内使用心电图作为生物特征

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719798

P. S. Gawande, S. Ladhake

引用次数: 1

Nonpolynomial spline based Empirical Mode Decomposition 基于非多项式样条的经验模式分解

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719829

Pushpendra Singh, P. Srivastava, R. Patney, S. Joshi, Kaushik Saha

引用次数: 29

Moment based wavelet filter design for fingerprint classification 基于矩的指纹分类小波滤波器设计

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719795

M. Saini, J. S. Saini, Shachi Sharma

{"title":"Moment based wavelet filter design for fingerprint classification","authors":"M. Saini, J. S. Saini, Shachi Sharma","doi":"10.1109/ICSPCOM.2013.6719795","DOIUrl":"https://doi.org/10.1109/ICSPCOM.2013.6719795","url":null,"abstract":"Fingerprints are the most universal, unique and persistent biometrics. This study performs the classification of multiple fingerprint images using Hu Moments based Wavelet designing and Modified VZ Classification Algorithm. The proposed work is divided into two stages. One is the wavelet designing stage and second is the classification stage. The use of moments as filter coefficients is motivated with a discussion on the type of information extracted by a filter and its representation. The basic VZ classification algorithm used has been modified in this work, which is initially developed within a rotationally invariant framework. The probabilistic neural network and support vector machine classifiers are employed for the advancement of VZ algorithm and better classification. The designing and classification stages of the VZ algorithm are described, and the performance on different sets is evaluated. The performance is evaluated on the standard fingerprint verification certification FVC2004 database. The comparative simulation experiments show that the classification produces a good performance as compared to previous results and providing high accuracy in classification rates. Performance of these two classifiers is compared among themselves as well as with the previously reported articles. This concludes that PNN has 99.23% classification rate for classification of ten classes of fingerprint images, which is better than that of SVM.","PeriodicalId":272955,"journal":{"name":"2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115147926","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: 9

SSM wavelets for analysis of music signals using Particle Swarm Optimization 用粒子群算法分析音乐信号的SSM小波

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719791

M. Sinith, Shikha Tripathi, K. Murthy

{"title":"SSM wavelets for analysis of music signals using Particle Swarm Optimization","authors":"M. Sinith, Shikha Tripathi, K. Murthy","doi":"10.1109/ICSPCOM.2013.6719791","DOIUrl":"https://doi.org/10.1109/ICSPCOM.2013.6719791","url":null,"abstract":"The waveform of a single note played by musical instruments has a repeating element, as it contains fundamental frequency and its harmonics. This waveform can be used as the scaling function for analysing the signals produced by that particular musical instrument, provided it satisfies the necessary and sufficient condition for a scaling function. In this paper, the filter coefficients corresponding to this scaling function is obtained using Particle Swarm Optimization(PSO) technique. For known wavelets, like Daubechies, the scaling function can be iteratively found from the filter coefficients. However, it is difficult to generate the filter coefficients from the wavelets without the knowledge of some characteristics of the scaling function or the wavelet. In this context, the PSO model which has been developed here gives very accurate values of the filter coefficients for any given scaling function. Further, ordinary PSO is modified for better optimization resulting in a new wavelet for music signals called as Sinith-Shikha-Murthy (SSM) wavelet. The working of the proposed models are verified using Daubechies wavelet. The filter coefficients corresponding to the signal generated by musical instruments flute and violin are also found. The regeneration of the scaling function iteratively using the obtained filter coefficients confirmed the results.","PeriodicalId":272955,"journal":{"name":"2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127793468","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: 2

Electronically tunable voltage-mode multifunction biquad filter using single CCTA 使用单个CCTA的电子可调谐电压模式多功能双路滤波器

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) Pub Date : 2013-12-01 DOI: 10.1109/ICSPCOM.2013.6719814

S. V. Singh, R. Tomar, D. Chauhan

引用次数: 6