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[An efficient system for reliably transmitting image and video data over low bit rate noise]
First published in 1994...
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Algorithmic Graph Theory and Sage
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Software for Exascale Computing - SPPEXA 2016-2019
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Optimization of Quantum Information Processing Maximizing Mutual Information
A model of quantum noisy channel with input encoding by a classical random vector is described. An equation of optimality is derived to determine a complete set of wave functions describing quantum de...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Foundations of Machine Learning
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CIA Reading Room cia-rdp91-00403r000200260045-8: FR:LYASHCHENKO A M TO:NERUCHEV S G
Development of Middle Palezoic TypeSections in Southern Fergana, by A. M.Lyashchenko, 2RUSSIAN' per,Vol CLXIII, No-7,7965,Am Geol Instp.Dok Ak nauk SSSR, Ear Sci Sec,pp 14S2-14S4.Sci-Ear SciApr 66Coor...
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Anisotropy Across Fields and Scales
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Exact Sparse Recovery with L0 Projections
Many applications concern sparse signals, for example, detecting anomalies from the differences between consecutive images taken by surveillance cameras. This paper focuses on the problem of recoverin...
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NASA Technical Reports Server (NTRS) 20120016331: Method and system for efficient video compression
Disclosed are a method and system for video compression, wherein the video encoder has low computational complexity and high compression efficiency. The disclosed system comprises a video encoder and ...
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Bayesian Methods in the Search for MH370
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Use of a $d$-Constraint During LDPC Decoding in a Bliss Scheme
Bliss schemes of a run length limited (RLL) codec in combination with an LDPC codec, generate LDPC parity bits over a systematic sequence of RLL channel bits that are inherently redundant as they sati...
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Developing Graphics Frameworks with Python and OpenGL
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DTIC ADA236483: Implementation of VQ Algorithms on a Reconfigurable Array Processor
Vector quantization is being widely used in image data compression applications due to the facts that it is capable of achieving fractional bit rates with reasonable complexity and that the decoding i...
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Signal Computing
Digital Signals in the Software Domain...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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List Decoding Barnes-Wall Lattices
The question of list decoding error-correcting codes over finite fields (under the Hamming metric) has been widely studied in recent years. Motivated by the similar discrete structure of linear codes ...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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Understanding Machine Learning
From Theory to Algorithms...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Linear Selection Indices in Modern Plant Breeding
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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A Greedy Algorithm of Data-Dependent User Selection for Fast Fading Gaussian Vector Broadcast Channe
User selection (US) with Zero-forcing beamforming is considered in fast fading Gaussian vector broadcast channels with perfect channel state information (CSI) at the transmitter. A novel criterion for...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Representation Learning for Natural Language Processing
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Forms and Linear Network Codes
We present a general theory to obtain linear network codes utilizing forms and obtain explicit families of equidimensional vector spaces, in which any pair of distinct vector spaces intersect in the s...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Coding for Errors and Erasures in Random Network Coding
The problem of error-control in random linear network coding is considered. A ``noncoherent'' or ``channel oblivious'' model is assumed where neither transmitter nor receiver is assumed to have knowle...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Biodiversity and Health in the Face of Climate Change
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Universal decoding using a noisy codebook
We consider the topic of universal decoding with a decoder that does not have direct access to the codebook, but only to noisy versions of the various randomly generated codewords, a problem motivated...
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On Lattice Sequential Decoding for The Unconstrained AWGN Channel
In this paper, the performance limits and the computational complexity of the lattice sequential decoder are analyzed for the unconstrained additive white Gaussian noise channel. The performance analy...
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Solving underdetermined systems with error-correcting codes
In an underdetermined system of equations $Ax=y$, where $A$ is an $m\times n$ matrix, only $u$ of the entries of $y$ with $u < m$ are known. Thus $E_jw$, called `measurements', are known for certain $...
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Enhancing network security using unsupervised learning approach to combat zero-day attack
Machine learning (ML) and advanced neural network methodologies like deep learning (DL) techniques have been increasingly utilized in developing intrusion detection systems (IDS). However, the growing...
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Language Technologies for the Challenges of the Digital Age
27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings...
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The Finite State MAC with Cooperative Encoders and Delayed CSI
In this paper, we consider the finite-state multiple access channel (MAC) with partially cooperative encoders and delayed channel state information (CSI). Partial cooperation here is in the sense that...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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On the Origin of Polar Coding
Polar coding was conceived originally as a technique for boosting the cutoff rate of sequential decoding, along the lines of earlier schemes of Pinsker and Massey. The key idea in boosting the cutoff ...
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Enumerative Coding for Line Polar Grassmannians with applications to codes
A $k$-polar Grassmannian is the geometry having as pointset the set of all $k$-dimensional subspaces of a vector space $V$ which are totally isotropic for a given non-degenerate bilinear form $\mu$ de...
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Variant Construction from Theoretical Foundation to Applications
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018
Selected Papers from the ICOSAHOM Conference, London, UK, July 9-13, 2018...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
View Book →A comparison of model-based VQ compression with other VQ approaches
First published in 1995...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Sublinear Time, Measurement-Optimal, Sparse Recovery For All
An approximate sparse recovery system in ell_1 norm formally consists of parameters N, k, epsilon an m-by-N measurement matrix, Phi, and a decoding algorithm, D. Given a vector, x, where x_k denotes t...
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On Zero Delay Source-Channel Coding
In this paper, we study the zero-delay source-channel coding problem, and specifically the problem of obtaining the vector transformations that optimally map between the m-dimensional source space and...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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