Xiii. Processing and Transmission of Information A. Vector Representation of Time-continuous Channels with Memory
نویسنده
چکیده
Prof. R. M. Fano Prof. R. G. Gallager Prof. F. C. Hennie III Prof. I. M. Jacobs Prof. A. M. Manders Prof. W. F. Schreiber Prof. C. E. Shannon Prof. J. M. ,Vozencraft Dr. C. L. Liu M. H. Bender E. D. J. H. P. D. E. G. U. A. J. R. Berlekamp G. Botha E. Cunningham Dym M. Ebert D. Falconer F. Ferretti D. Forney, Jr. F. Gronemann R. Hassan L. Holsinger T. S. Huang N. Imai J. E. Savage J. R. Sklar K. D. Snow I. G. Stiglitz W. R. Sutherland 0. J. Tretiak W. J. Wilson H. L. Yudkin
منابع مشابه
Wavelet Transformation
Wavelet transformation is one of the most practical mathematical transformations in the field of image processing, especially image and signal processing. Depending on the nature of the multiresolution analysis, Wavelet transformation become more accessible and powerful tools. In this paper, we refer to the mathematical foundations of this transformation. Introduction: The...
متن کاملA Method to Reduce Effects of Packet Loss in Video Streaming Using Multiple Description Coding
Multiple description (MD) coding has evolved as a promising technique for promoting error resiliency of multimedia system in real-time application programs over error-prone communicational channels. Although multiple description lattice vector quantization (MDCLVQ) is an efficient method for transmitting reliable data in the context of potential error channels, this method doesn’t consider disc...
متن کاملFast Reconstruction of SAR Images with Phase Error Using Sparse Representation
In the past years, a number of algorithms have been introduced for synthesis aperture radar (SAR) imaging. However, they all suffer from the same problem: The data size to process is considerably large. In recent years, compressive sensing and sparse representation of the signal in SAR has gained a significant research interest. This method offers the advantage of reducing the sampling rate, bu...
متن کاملA hybrid EEG-based emotion recognition approach using Wavelet Convolutional Neural Networks (WCNN) and support vector machine
Nowadays, deep learning and convolutional neural networks (CNNs) have become widespread tools in many biomedical engineering studies. CNN is an end-to-end tool which makes processing procedure integrated, but in some situations, this processing tool requires to be fused with machine learning methods to be more accurate. In this paper, a hybrid approach based on deep features extracted from Wave...
متن کاملP-V-L Deep: A Big Data Analytics Solution for Now-casting in Monetary Policy
The development of new technologies has confronted the entire domain of science and industry with issues of big data's scalability as well as its integration with the purpose of forecasting analytics in its life cycle. In predictive analytics, the forecast of near-future and recent past - or in other words, the now-casting - is the continuous study of real-time events and constantly updated whe...
متن کامل