{"title":"Toward futuristic near-natural collaborations on Distributed Multimedia Plays architecture","authors":"L. A. Rønningen, Mauritz Panggabean, O. Tamer","doi":"10.1109/ISSPIT.2010.5711738","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711738","url":null,"abstract":"This paper presents a vision of how people can collaborate in real-time in the future from different places on the continents with near-natural quality of experience. To achieve that very high quality, the requirements are also very high and challenging. The ultimate challenge for its implementation is to guarantee end-to-end delay less than 10–20ms with graceful quality variability to enable live musical collaborations. The Distributed Multimedia Plays architecture with the AppTraNet protocol and the design of the collaboration spaces is our proposal for the realization of the vision, since existing Internet standards are unable to provide such guarantee. The relation of this novel proposal to the existing and future standards is also discussed. It is expected that significant milestones on this research avenue will be attainable in the next 5–10 years.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115198682","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":"Constraint Natural Gradient Algorithm with non adaptive metric","authors":"I. Shah, T. Durrani","doi":"10.1109/ISSPIT.2010.5711813","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711813","url":null,"abstract":"This paper presents a critical augmentation to the previously developed Constraint Adaptive Natural Gradient Algorithm (CANA), by incorporating a non adaptive metric in place of adaptive Riemannian metric. Inclusion of this fixed metric significantly reduces the complexity of previously developed technique. Complemented with Constrained optimization techniques the algorithm is capable of rapidly adjusting the response of an array of sensors to a signal coming from Direction of Interest (DoI) and suppressing noises coming from other directions. Mathematical analysis and realistic MATLAB simulations are developed to underpin the fast convergence of the adaptive weights, and the suitability of algorithm for operations in adverse environments. The technique has been further extended to the variable step size Adaptive Array Processing‥","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115652553","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}
Jamshaid Sarwar Malik, B. Slimane, A. Hemani, N. Gohar
{"title":"Improving performance of fading channel simulators by use of uniformly distributed random numbers","authors":"Jamshaid Sarwar Malik, B. Slimane, A. Hemani, N. Gohar","doi":"10.1109/ISSPIT.2010.5711731","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711731","url":null,"abstract":"Filter-based fading channel simulators universally use White Gaussian Noise (WGN) to generate complex tap coefficients. In this work, we will show that replacing WGN source by Uniform Random Number Generator (URNG) results in improved simulation speed in case of software simulator; and reduced area/power in case of hardware simulator. We will verify, both analytically and through extensive simulations, that use of URNG does not cause any degradation in important simulator performance parameters like statistical properties, spectral shape, level crossing rate and bit error rate. To validate our analysis, we have designed fading channel simulators both in software and hardware. We will show that use of URNG causes 6 percent improvement in simulation time in case of software simulator. Similarly, we will demonstrate that for a hardware simulator, we obtain an improvement of 30 and 40 percent in area and power consumption respectively.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123966227","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 pixel-domain post-processing technique to reduce the blocking artifacts in transform-coded images","authors":"U. S. Mohammed","doi":"10.1109/ISSPIT.2010.5711816","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711816","url":null,"abstract":"The reconstructed images after compression produce annoying blocking artifacts near block boundaries, particularly in low bit-rate image compression, because each block is transformed and quantized independently Detection of blocking artifact has an important role in the design of image coding systems. Increasing the bit rate to obtain better quality images is too costly. In this paper, a novel pixel-domain technique for image blocking artifact detection is presented. The algorithm detects the regions of the image which present visible blocking artifacts. The blocking artifact detection and reduction is presented as a post- processing in the image decoder. The algorithm first detects the direction of artifact through power spectrum estimation of the e pixel absolute difference (PAD) in both horizontal and vertical directions. The power spectrum of the PAD is estimated using the Maximum Entropy method (MEM) which is a nonparametric method to perform accurate power spectrum estimation. The reduction process is applied on the direction of artifacts only to improve the image quality. The key of the reduction process is based on the modified projection operator to give reasonable modifications for the block boundary pixels. The simulation results illustrate the performance of the proposed method for the JPEG decoded images.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"17 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122371887","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":"Multi-channel ANC using online secondary-path modeling with noise power scheduling","authors":"T. Jung, J. Seo, Ki-Jin Kim, J. Kim, S. Nam","doi":"10.1109/ISSPIT.2010.5711806","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711806","url":null,"abstract":"In multi-channel active noise control (ANC) systems, online secondary-path modeling (OSPM) using the auxiliary noise signal is often applied. However, the additive noise signal may contribute to the residual output noise. In this paper, the conventional noise power scheduling, utilized for single-channel ANC with OSPM, is further extended to multi-channel ANC. Simulation results demonstrate that the proposed approach yields better ANC performance, compared with conventional multi-channel ANC methods.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129926012","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}
S. Sadek, A. Al-Hamadi, M. Elmezain, B. Michaelis, Usama Sayed
{"title":"Human activity recognition via temporal moment invariants","authors":"S. Sadek, A. Al-Hamadi, M. Elmezain, B. Michaelis, Usama Sayed","doi":"10.1109/ISSPIT.2010.5711729","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711729","url":null,"abstract":"Temporal invariant shape moments intuitively seem to provide an important visual cue to human activity recognition in video sequences. In this paper, an SVM based method for human activity recognition is introduced. With this method, the feature extraction is carried out based on a small number of computationally-cheap invariant shape moments. When tested on the popular KTH action dataset, the obtained results are promising and compare favorably with that reported in the literature. Furthermore our proposed method achieves real-time performance, and thus can provide latency guarantees to real-time applications and embedded systems.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124570386","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":"On the effect of High Power Amplifier Nonlinearity on MIMO MC-CDMA systems","authors":"M. Dakhli, R. Zayani, R. Bouallègue","doi":"10.1109/ISSPIT.2010.5711775","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711775","url":null,"abstract":"The combination of Multiple-Input Multiple-Output (MIMO) with Multi-Carrier Code Division Multiplexing Access (MC-CDMA) is a promising technique for achieving high performance with very high data rates in 4G broadband wireless communications. Nevertheless, Nonlinearity of High-Power Amplifier (HPA) plays a crucial role in the performance of MIMO MC-CDMA systems. In this paper, we investigate the performance of VBLAST MIMO MC-CDMA system in the presence of nonlinear HPA. In order to illustrate this fact, different receivers, such as ZF, IC-ZF, MMSE IC-MMSE and QR-ML, are considered and mutually compared. Specifically, we assess the impact of HPA nonlinearity on the Bit Error Rate (BER), when the system is operated under Rayleigh fading channel. Numerical results are provided and show the effects of several system parameters, such as type of receivers, number of transmit and receive antennas, number of users and spreading factor length, on system performance.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127251708","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":"Deep Belief Network for clustering and classification of a continuous data","authors":"M. Salama, A. Hassanien, A. Fahmy","doi":"10.1109/ISSPIT.2010.5711759","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711759","url":null,"abstract":"Deep Belief Network (DBN) is a deep architecture that consists of a stack of Restricted Boltzmann Machines (RBM). The deep architecture has the benefit that each layer learns more complex features than layers before it. DBN and RBM could be used as a feature extraction method also used as neural network with initially learned weights. The approach proposed depends on DBN in clustering and classification of continuous input data without using back propagation in the DBN architecture. DBN should have a better a performance than the traditional neural network due the initialization of the connecting weights rather than just using random weights in NN. Each layer in DBN (RBM) depends on Contrastive Divergence method for input reconstruction which increases the performance of the network.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129027445","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":"MMSE detector using forward and backward reciprocal-lattice reduction in MIMO systems","authors":"H. Negishi, Wei Hou, T. Fujino","doi":"10.1109/ISSPIT.2010.5711796","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711796","url":null,"abstract":"This paper proposes an MMSE detector using forward and backward reciprocal lattice reduction (LR) in MIMO systems. In the 8×8 MIMO systems, the reciprocal LR aided detection (LRAD) achieves better BER performances about 3dB than the LRAD using the conventional LLL algorithm over BER=10−5. The proposed method furthermore achieves better BER performances about 1dB than the reciprocal LRAD.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125279335","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}
Emad El-Sayed, Rehab F. Abdel-Kader, Rabab M. Ramadan
{"title":"Orientation of multiple principal axes shapes using efficient averaging method","authors":"Emad El-Sayed, Rehab F. Abdel-Kader, Rabab M. Ramadan","doi":"10.1109/ISSPIT.2010.5711815","DOIUrl":"https://doi.org/10.1109/ISSPIT.2010.5711815","url":null,"abstract":"In this paper we propose an effective, low computational cost technique to find the orientation of shapes that have several non-equally separated axes of symmetry. In our technique we define a simple method to calculate the average angle of the shape's axes of symmetry. The axes of symmetry of the shape could be detected using any of the well known techniques reported in the literature. In the proposed technique we use the edge points of the shape to have the ability to deal with natural pictures like coins. The internal edges are used in addition to the external boundary edges to increase the orientation detection capabilities of the algorithm. First, the edge map of the image is extracted by applying Canny edge detector [15]. Second, the center of the object is detected by calculating the average of the vertical and horizontal coordinates of the points of the edge map. Third, the total perpendicular absolute distances from the edge map points to the line that passes through the center point with specified angle are calculated. These calculations are repeated with different angles to find the angles of the minimum peaks of the calculated distances. Finally, if the shape has more than one minimum peak we use our averaging method to get the dominant direction angle of the shape or the shape orientation. By using this technique we only use the first moment of inertia and do not have to use any higher orders to reduce the computational cost.","PeriodicalId":308189,"journal":{"name":"The 10th IEEE International Symposium on Signal Processing and Information Technology","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125280013","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}