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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
View Book →Codes over Hurwitz integers
In this study, we obtain new classes of linear codes over Hurwitz integers equipped with a new metric. We refer to the metric as Hurwitz metric. The codes with respect to Hurwitz metric use in coded m...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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An integral formula for large random rectangular matrices and its application to analysis of linear
A statistical mechanical framework for analyzing random linear vector channels is presented in a large system limit. The framework is based on the assumptions that the left and right singular value ba...
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Linear Selection Indices in Modern Plant Breeding
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Developing Graphics Frameworks with Python and OpenGL
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Understanding Machine Learning
From Theory to Algorithms...
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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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Foundations of Machine Learning
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Bayesian Methods in the Search for MH370
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View Book →Vectorized VByte Decoding
We consider the ubiquitous technique of VByte compression, which represents each integer as a variable length sequence of bytes. The low 7 bits of each byte encode a portion of the integer, and the hi...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
View Book →Optimal-Rate Code Constructions for Computationally Simple Channels
We consider coding schemes for computationally bounded channels, which can introduce an arbitrary set of errors as long as (a) the fraction of errors is bounded with high probability by a parameter $p...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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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Spatial Thinking in Planning Practice
An Introduction to GIS...
View Book →Performance of Support Vector Machine in Classifying EEG Signal of Dyslexic Children using RBF Kerne
Dyslexia is referred as learning disability that causes learner having difficulties in decoding, reading and writing words. This disability associates with learning processing region in the human brai...
View Book →Sparsity-aware sphere decoding: Algorithms and complexity analysis
Integer least-squares problems, concerned with solving a system of equations where the components of the unknown vector are integer-valued, arise in a wide range of applications. In many scenarios the...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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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 →Lattice Gaussian Sampling by Markov Chain Monte Carlo: Convergence Rate and Decoding Complexity
Sampling from the lattice Gaussian distribution is an efficient way for solving the closest vector problem (CVP) in lattice decoding. In this paper, decoding by MCMC-based lattice Gaussian sampling is...
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Implementation and analysis of 5G network identification operations at low signal-to-noise ratio
The article investigates the operations of identifying a cellular network and searching for a cell at various signal-to-noise ratios. The estimation of frequency and time displacement, criteria for de...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Anisotropy Across Fields and Scales
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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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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Algorithmic Graph Theory and Sage
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A comparison of model-based VQ compression with other VQ approaches
First published in 1995...
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Sieving for closest lattice vectors (with preprocessing)
Lattice-based cryptography has recently emerged as a prime candidate for efficient and secure post-quantum cryptography. The two main hard problems underlying its security are the shortest vector prob...
View Book →Interference, Cooperation and Connectivity - A Degrees of Freedom Perspective
We explore the interplay between interference, cooperation and connectivity in heterogeneous wireless interference networks. Specifically, we consider a 4-user locally-connected interference network w...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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A pipelined vector processor and memory architecture for cyclostationary processing
This work describes a scaleable, high performance, pipelined, vector processor architecture. Special emphasis is placed on performing fast Fourier transforms with mixed-radix butterfly operations. The...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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NASA Technical Reports Server (NTRS) 19930016743: Multi-rate, real time image compression for images
An image compression system recently developed for compression of digital images dominated by point sources is presented. Encoding consists of minimum-mean removal, vector quantization, adaptive thres...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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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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Software for Exascale Computing - SPPEXA 2016-2019
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
View Book →Direct Polarization for q-ary Source and Channel Coding
It has been shown that an extension of the basic binary polar transformation also polarizes over finite fields. With it the direct encoding of q-ary sources and channels is a process that can be imple...
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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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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
View Book →On the Closest Vector Problem with a Distance Guarantee
We present a substantially more efficient variant, both in terms of running time and size of preprocessing advice, of the algorithm by Liu, Lyubashevsky, and Micciancio for solving CVPP (the preproces...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
View Book →Distributed Quantization for Compressed Sensing
We study distributed coding of compressed sensing (CS) measurements using vector quantizer (VQ). We develop a distributed framework for realizing optimized quantizer that enables encoding CS measureme...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Representation Learning for Natural Language Processing
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Biodiversity and Health in the Face of Climate Change
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Signal Computing
Digital Signals in the Software Domain...
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Variant Construction from Theoretical Foundation to Applications
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View Book →Computing minimal interpolation bases
We consider the problem of computing univariate polynomial matrices over a field that represent minimal solution bases for a general interpolation problem, some forms of which are the vector M-Pad\'e ...
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NASA Technical Reports Server (NTRS) 19930010236: Locally adaptive vector quantization: Data compres
A study of a locally adaptive vector quantization (LAVQ) algorithm for data compression is presented. This algorithm provides high-speed one-pass compression and is fully adaptable to any data source ...
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