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Distributed Rate Adaptation and Power Control in Fading Multiple Access Channels
Traditionally, the capacity region of a coherent fading multiple access channel (MAC) is analyzed in two popular contexts. In the first, a centralized system with full channel state information at the...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting
The problem of recovering the sparsity pattern of a fixed but unknown vector $\beta^* \in \real^p based on a set of $n$ noisy observations arises in a variety of settings, including subset selection i...
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Algorithmic Graph Theory and Sage
...
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Understanding Machine Learning
From Theory to Algorithms...
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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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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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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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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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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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Anisotropy Across Fields and Scales
...
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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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Rank error-correcting pairs
Error-correcting pairs were introduced independently by Pellikaan and K\"otter as a general method of decoding linear codes with respect to the Hamming metric using coordinatewise products of vectors,...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Nonsmooth Formulation of the Support Vector Machine for a Neural Decoding Problem
This paper formulates a generalized classification algorithm with an application to classifying (or `decoding') neural activity in the brain. Medical doctors and researchers have long been interested ...
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NASA Technical Reports Server (NTRS) 19920014939: Vector Sum Excited Linear Prediction (VSELP) speec
Code Excited Linear Prediction (CELP) speech coders exhibit good performance at data rates as low as 4800 bps. The major drawback to CELP type coders is their larger computational requirements. The Ve...
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Software for Exascale Computing - SPPEXA 2016-2019
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Bayesian Methods in the Search for MH370
...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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NASA Technical Reports Server (NTRS) 19950008176: Synthetic aperture radar signal data compression u
This paper describes the design and testing of an on-board SAR signal data compression algorithm for ESA's ENVISAT satellite. The Block Adaptive Quantization (BAQ) algorithm was selected, and optimize...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Fundamentals of computational neuroscience
xvi, 338 p. : 25 cm...
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Foundations of Machine Learning
...
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DTIC ADA525364: On the Computer Generation of Adaptive Numerical Libraries
Very fast runtime is crucial in many applications in scientific computing, multimedia processing communication, and control. Most of these applications spend the bulk of the computation in wellknown m...
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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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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Linear Selection Indices in Modern Plant Breeding
...
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On Fast Decoding of High Dimensional Signals from One-Bit Measurements
In the problem of one-bit compressed sensing, the goal is to find a $\delta$-close estimation of a $k$-sparse vector $x \in \mathbb{R}^n$ given the signs of the entries of $y = \Phi x$, where $\Phi$ i...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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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 ...
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Representation Learning for Natural Language Processing
...
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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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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Biodiversity and Health in the Face of Climate Change
...
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Homomorphic encryption from codes
We propose a new homomorphic encryption scheme based on the hardness of decoding under independent random noise from certain affine families of codes. Unlike in previous lattice-based homomorphic encr...
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Simultaneous communication in noisy channels
A sender wishes to broadcast a message of length $n$ over an alphabet to $r$ users, where each user $i$, $1 \leq i \leq r$ should be able to receive one of $m_i$ possible messages. The broadcast chann...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Very Deep Convolutional Neural Networks for Robust Speech Recognition
This paper describes the extension and optimization of our previous work on very deep convolutional neural networks (CNNs) for effective recognition of noisy speech in the Aurora 4 task. The appropria...
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Variant Construction from Theoretical Foundation to Applications
...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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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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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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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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Signal Computing
Digital Signals in the Software Domain...
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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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First published in 1995...
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Developing Graphics Frameworks with Python and OpenGL
...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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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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