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Distributed Quantization for Measurement of Correlated Sparse Sources over Noisy Channels
In this paper, we design and analyze distributed vector quantization (VQ) for compressed measurements of correlated sparse sources over noisy channels. Inspired by the framework of compressed sensing ...
View Book →[An efficient system for reliably transmitting image and video data over low bit rate noise]
First published in 1994...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Anisotropy Across Fields and Scales
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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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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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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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Algorithmic Graph Theory and Sage
...
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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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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Deep learning of fMRI big data: a novel approach to subject-transfer decoding
As a technology to read brain states from measurable brain activities, brain decoding are widely applied in industries and medical sciences. In spite of high demands in these applications for a univer...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Sparse Multipath Channel Estimation and Decoding for Broadband Vector OFDM Systems
Vector orthogonal frequency division multiplexing (V-OFDM) is a general system that builds a bridge between OFDM and single-carrier frequency domain equalization in terms of intersymbol interference a...
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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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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Understanding Machine Learning
From Theory to Algorithms...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Riemann-Roch Spaces and Linear Network Codes
We construct linear network codes utilizing algebraic curves over finite fields and certain associated Riemann-Roch spaces and present methods to obtain their parameters. In particular we treat the He...
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Quantum List Decoding of Classical Block Codes of Polynomially Small Rate from Quantumly Corrupted C
Given a classical error-correcting block code, the task of quantum list decoding is to produce from any quantumly corrupted codeword a short list containing all messages whose codewords exhibit high "...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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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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Distributed Remote Vector Gaussian Source Coding for Wireless Acoustic Sensor Networks
In this paper, we consider the problem of remote vector Gaussian source coding for a wireless acoustic sensor network. Each node receives messages from multiple nodes in the network and decodes these ...
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Representation Learning for Natural Language Processing
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Solving PDEs in Python
The FEniCS Tutorial I...
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Efficient Codes for Limited View Adversarial Channels
We introduce randomized Limited View (LV) adversary codes that provide protection against an adversary that uses their partial view of the communication to construct an adversarial error vector to be ...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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BBC Research and Development Report 1996-03 : MPEG video coding: A basic tutorial introduction
R&D Report 1996-03 : MPEG video coding: A basic tutorial introduction S.R. Ely MPEG has been outstandingly successful in defining standards for video compression coding, serving a wide range of applic...
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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 ...
View Book →A comparison of model-based VQ compression with other VQ approaches
First published in 1995...
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ADMM LP decoding of non-binary LDPC codes in $\mathbb{F}_{2^m}$
In this paper, we develop efficient decoders for non-binary low-density parity-check (LDPC) codes using the alternating direction method of multipliers (ADMM). We apply ADMM to two decoding problems. ...
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Variant Construction from Theoretical Foundation to Applications
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Developing Graphics Frameworks with Python and OpenGL
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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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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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Expander $\ell_0$-Decoding
We introduce two new algorithms, Serial-$\ell_0$ and Parallel-$\ell_0$ for solving a large underdetermined linear system of equations $y = Ax \in \mathbb{R}^m$ when it is known that $x \in \mathbb{R}^...
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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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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Information Nonanticipative Rate Distortion Function and Its Applications
This paper investigates applications of nonanticipative Rate Distortion Function (RDF) in a) zero-delay Joint Source-Channel Coding (JSCC) design based on average and excess distortion probability, b)...
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Linear Selection Indices in Modern Plant Breeding
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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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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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Biodiversity and Health in the Face of Climate Change
...
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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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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Foundations of Machine Learning
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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NASA Technical Reports Server (NTRS) 19900012582: An adaptive vector quantization scheme
Vector quantization is known to be an effective compression scheme to achieve a low bit rate so as to minimize communication channel bandwidth and also to reduce digital memory storage while maintaini...
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Software for Exascale Computing - SPPEXA 2016-2019
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Signal Computing
Digital Signals in the Software Domain...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Bayesian Methods in the Search for MH370
...
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