Saeed Mosayyebpour, Abolghasem Sayyadiyan, M. Zareian, Ali Shahbazi
{"title":"Single Channel Inverse Filtering of Room Impulse Response by Maximizing Skewness of LP Residual","authors":"Saeed Mosayyebpour, Abolghasem Sayyadiyan, M. Zareian, Ali Shahbazi","doi":"10.1109/ICSAP.2010.67","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.67","url":null,"abstract":"This paper presents a single-microphone inversefiltering of room impulse response (RIR). The estimation is carried out by maximizing the skewness of the Linear Predictive (LP) residual of reverberant speech. The proposed algorithm used LP residual skewness to develop an on-line adaptive gradient-descent algorithm for calculating an inverse filter of RIR and proposed an affective technique to reduce amount of data size required for estimation. The comparison between our proposed method and the previous method based on one microphone shows that, it is more effective even in high reverberation time (upper than 1sec).","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117115615","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}
{"title":"Performance Evaluation of Neural Networks for Shape Identification in Image Processing","authors":"G. K. Rajini, G. Ramachandra Reddy","doi":"10.1109/ICSAP.2010.64","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.64","url":null,"abstract":"The emergence of artificial neural networks in image processing has led to improvements in shape recognition. We can analyze text and various geometrical shapes in image where image is represented in gray level. We trained the neural network to identify a particular shape in image. Recently Artificial Neural Network (ANN), Fuzzy Logic and Genetic Algorithm have been employed to assist the diagnosis task and to interpret the shape recognition. The first goal of this paper is to apply neural network. The second goal of this paper is to utilize neural network approaches to and compare various algorithms. We have used a NN to identify the Shape Recognition in Image Processing. This paper presents the simulation results in analyzing the shape and comparison of various algorithms in predicting the shape and its error performance are reviewed.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"48 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120975852","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}
{"title":"Palmprint Recognition Based on Discriminative Local Binary Patterns Statistic Feature","authors":"Meiru Mu, Q. Ruan, Yongsheng Shen","doi":"10.1109/ICSAP.2010.50","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.50","url":null,"abstract":"In on-line palmprint recognition tasks, texture based feature extraction methods are widely adopted for palmprint representation, owing to their high performance. Gabor filter bank is among the most promising texture information extraction tool because of its multi-scale and multi-orientational characteristics. However, it is both time and memory intensive to convolve palm images with a bank of filters to extract features. In this paper, a novel palmprint texture representation is proposed, discriminative local binary patterns statistic (DLBPS), which is extracted for palmprint recognition. In this approach, a palmprint is firstly divided into non-overlapping and equal-sized regions, which are then labeled into Local Binary Patterns (LBP) independently. By calculating these patterns' distribution, the statistic features of the palmprint texture are attained. Subsequently, the Discriminative Common Vectors (DCV) algorithm is applied for dimensionality reduction of the feature space and solution of the optional discriminative common vectors. Finally, Euclidean distance and the nearest neighbor classifier are used for palmprint classification. Our experimental results demonstrate the effectiveness of the proposed DLBPS palmprint representation, which brings both high recognition accuracy rate and high speed benefits.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124879014","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}
Saeed Mosayyebpour, Abolghasem Sayyadiyan, Farhad Tehranipour, Ali Shahbazi
{"title":"Single-Channel Blind Identification with FIR Filter Design in Frequency Domain","authors":"Saeed Mosayyebpour, Abolghasem Sayyadiyan, Farhad Tehranipour, Ali Shahbazi","doi":"10.1109/ICSAP.2010.69","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.69","url":null,"abstract":"The problem of estimating the communication channel affecting a signal, falls into the category of blind system identification. When only one version of the signal is available, this is particularly difficult problem. This paper presents a simple single-channel blind identification of channel impulse response which can be low-pass, band-pass or high-pass filter, etc with a FIR filter design in frequency domain. The proposed algorithm is tested with different type of input sources (such as random sequence and speech) using different kind of channels. It was shown that, the proposed algorithm sounds to be more effective for random sequences and can also be used in different application such as loudspeaker or telephone channel equalization.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130632390","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}
{"title":"EEMLA: Energy Efficient Monitoring of Wireless Sensor Network with Learning Automata","authors":"H. Mostafaei, M. Meybodi, M. Esnaashari","doi":"10.1109/ICSAP.2010.14","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.14","url":null,"abstract":"When sensors are redundantly deployed, a subset of sensors should be selected to actively monitor the field (referred to as a \"cover\"), while the rest of the sensors should be put to sleep to conserve their batteries. Despite of its potential application, wireless sensor network encounters resource restrictions such as low computational power, reduced bandwidth and specially limited power resource. In this paper we propose learning automata based algorithm for energy-efficient monitoring in wireless sensor networks. Learning Automata are used for choosing the nodes having redundant coverage contribution. The proposed monitoring method in comparison to existing methods uses less number of nodes for monitoring network area. To evaluate the performance of the proposed algorithm several experiments have been conducted. The simulation results establish that the monitoring of sensor nodes with the proposed technique shows better utilization of the resources that effectively leads to an energy efficient maximally covered sensor network topology. Experiments have also shown that the proposed monitoring algorithm in compar¬ison to other existing methods prolongs the network lifetime.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116293807","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}
{"title":"Cover Image Preprocessing for More Reliable LSB Replacement Steganography","authors":"R. Shreelekshmi, M. Wilscy, C. Madhavan","doi":"10.1109/ICSAP.2010.40","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.40","url":null,"abstract":"We propose a simple method for preprocessing of cover images to increase the reliability of LSB replacement steganography in digital images. After the preprocessing of cover images, most reliable steganalysis methods in the literature such as RS steganalysis, Sample pair method, and Least Square method estimate embedding ratio as almost 100% for any amount of hidden data. Thus it causes inaccurate estimation results by the most reliable LSB steganalysis methods thereby increasing the reliability of LSB replacement steganography. The preprocessing is based on the count of different types of sample pairs in the image and their subsequent change with embedding.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115906213","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}
{"title":"Secured Backup Routing Protocol for Ad Hoc Networks","authors":"G. Lavanya, C. Kumar, A. R. M. Arokiaraj","doi":"10.1109/ICSAP.2010.62","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.62","url":null,"abstract":"Adhoc mobile networks are very dynamic, self organizing, self healing distributed networks which support data networking without an infrastructure. The user can use the network services efficiently and securely while moving, by using our proposed protocol. This protocol is used to store secured backup routes from multiple routes available between source and destination, in order to provide the next possible route immediately when the link fails during the data transmission. Furthermore, it incorporates security attributes as parameters into Adhoc route discovery.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115029984","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}
{"title":"A Method of FPGA Implementation for Gradient Adaptive Lattice Joint Processing Filter","authors":"Haibing Qi, Jianlan Feng, Song Sun","doi":"10.1109/ICSAP.2010.46","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.46","url":null,"abstract":"In this paper, the optimal parameters of sections and step is decided by the outcome of the astringency and stability of reflectance in gradient adaptive lattice filter. An adaptive gradient lattice joint processing model of 3 sections for noise cancellation was established and simulated using a variety of EDA tools in a FPGA chip. Behavior level, register transfer level and gate level simulation results show that the design method can transfer the mathematical model into circuit model efficiently, and the method is suitable for handling the complex signal processing system such as adaptive filter.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115072372","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}
{"title":"Unified Approach for Next Generation Multimedia Based Communication Components Integration with Signaling and Media Processing Framework","authors":"C. Sakthivel, S. Kesavan","doi":"10.1109/ICSAP.2010.65","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.65","url":null,"abstract":"Modern digital technology makes it possible to manipulate multi-dimensional signals with systems that range from simple digital circuits to advanced parallel computers. It allows the user to modify and gives the excellent results for user experience as well as other commercial and security applications. Communication Technologies like Circuit Switched Video Telephony, IMS based multimedia Applications like Video Share, VoIP, VVoIP, Video on Demand etc are Multimedia based method provides real time Audio, Video and Data, it is growing in the current mobile and Broadband technologies. Current Multimedia based communication technologies are supporting low bandwidth error prone communication mechanism between terminals. Video Telephony supports signaling and the data transmission from peer to peer over low data rate flow in the network. Media control components are required to integrate the communication signaling and media processing. This paper proposes generic approach across various multimedia framework and signaling modules. A new media control interface layer enables seamless data and signaling flow between various multimedia data processing frameworks and signaling modules and improves media communication processing. This layer increases the data flow and improves the quality of media data processing. It helps to integrate communication signaling module with media processing. This paper analyzes the media control interface based media communication based mechanisms like CS Video Telephony, IP based Multimedia Technologies like Video Share, VOIP etc. Media control Interface layer helps to integrate easily various Multimedia applications such as CS Video Telephony, Violet into various media processing multimedia framework such as DirectShow, GStreamer, Opencore etc. It also helps to integrate multimedia middleware stacks such as Media Transfer protocol [MTP], Digital Living Network Alliance [DLNA], Image Processing Pipeline Algorithms with the Application and Native Layer.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117009326","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}
Saeed Mosayyebpour, A. Sayadiyan, Erfan Soltanmohammadi, Ali Shahbazi, Abbas Keshavarz
{"title":"Time Delay Estimation Using One Microphone Inverse Filtering in Highly Reverberant Room","authors":"Saeed Mosayyebpour, A. Sayadiyan, Erfan Soltanmohammadi, Ali Shahbazi, Abbas Keshavarz","doi":"10.1109/ICSAP.2010.70","DOIUrl":"https://doi.org/10.1109/ICSAP.2010.70","url":null,"abstract":"Time delay estimation, which aims at measuring the relative time difference of arrival (TDOA) between different channels is fundamental approach for identifying, localization and tracking radiating sources. So it is the main approach for source localization while the main obstacle for designing robust microphone-based source localization systems is the effects of room reverberation. This paper presented a novel approach based on one microphone inverse filtering to estimate the TDOA. The simulation results showed that, this method are robust in a highly reverberant room and could estimate the TDOA precisely in adverse condition.","PeriodicalId":303366,"journal":{"name":"2010 International Conference on Signal Acquisition and Processing","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125871838","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}