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This paper presents a novel approximation unit added to the conventional spike processing chain which provides an appreciable reduction of complexity of the high-hardware cost feature extractors. The use of the Taylor polynomial is proposed…

Signal Processing · Electrical Eng. & Systems 2022-04-29 Majid Zamani , Christian Okreghe , Andreas Demosthenous

A C++ class was written for the calculation of frequentist confidence intervals using the profile likelihood method. Seven combinations of Binomial, Gaussian, Poissonian and Binomial uncertainties are implemented. The package provides…

Data Analysis, Statistics and Probability · Physics 2010-01-21 J. Lundberg , J. Conrad , W. Rolke , A. Lopez

With the surge of the powerful quantum computer, lattice-based cryptography proliferated the latest cryptography hardware implementation due to its resistance against quantum computers. Among the computational blocks of lattice-based…

Cryptography and Security · Computer Science 2022-08-31 Antian Wang , Weihang Tan , Keshab K. Parhi , Yingjie Lao

The aim of this paper is to present a new design for a pseudorandom number generator (PRNG) that is cryptographically secure, passes all of the usual statistical tests referenced in the literature and hence generates high quality random…

Cryptography and Security · Computer Science 2025-03-25 Juan Di Mauro , Eduardo Salazar , Hugo D. Scolnik

Two variations of the McEliece cryptosystem are presented. The first one is based on a relaxation of the column permutation in the classical McEliece scrambling process. This is done in such a way that the Hamming weight of the error, added…

We introduce Repro, an open-source library which aims at improving the reproducibility and usability of research code. The library provides a lightweight Python API for running software released by researchers within Docker containers which…

Computation and Language · Computer Science 2022-05-02 Daniel Deutsch , Dan Roth

With the emergence of 5G, Internet of Things (IoT) has become a center of attraction for almost all industries due to its wide range of applications from various domains. The explosive growth of industrial control processes and the…

Cryptography and Security · Computer Science 2020-06-25 Vishal A. Thakor , M. A. Razzaque , Muhammad R. A. Khandaker

We make a new proposal about how to use in an effective way a CSPRBG (Computationally Secure Pseudo Random Bit Generator) for cryptographic purposes. We introduce the definitions of TCSPRBG (Typical CSPRBG) and SCSPRBG (Special CSPRBG). In…

Cryptography and Security · Computer Science 2013-12-24 Corbo Antonio Esposito , Didone Fabiola

ParaMonte::Python (standing for Parallel Monte Carlo in Python) is a serial and MPI-parallelized library of (Markov Chain) Monte Carlo (MCMC) routines for sampling mathematical objective functions, in particular, the posterior distributions…

Mathematical Software · Computer Science 2020-10-05 Amir Shahmoradi , Fatemeh Bagheri , Joshua Alexander Osborne

DerivKit is a Python package for derivative-based statistical inference. It implements stable numerical differentiation and derivative assembly utilities for Fisher-matrix forecasting and higher-order likelihood approximations in scientific…

Instrumentation and Methods for Astrophysics · Physics 2026-02-10 Nikolina Šarčević , Matthijs van der Wild , Cynthia Trendafilova

This paper introduces Paraconsistent-Lib, an open-source, easy-to-use Python library for building PAL2v algorithms in reasoning and decision-making systems. Paraconsistent-Lib is designed as a general-purpose library of PAL2v standard…

This paper introduces a new algorithm for the fundamental problem of generating a random integer from a discrete probability distribution using a source of independent and unbiased random coin flips. We prove that this algorithm, which we…

Computation · Statistics 2020-07-03 Feras A. Saad , Cameron E. Freer , Martin C. Rinard , Vikash K. Mansinghka

We introduce the first, general purpose, slice sampling inference engine for probabilistic programs. This engine is released as part of StocPy, a new Turing-Complete probabilistic programming language, available as a Python library. We…

Artificial Intelligence · Computer Science 2015-01-21 Razvan Ranca , Zoubin Ghahramani

Literate programming - the bringing together of program code and natural language narratives - has become a ubiquitous approach in the realm of data science. This methodology is appealing as well for the domain of Density Functional Theory…

New and upgraded radio interferometers produce data at massive rates and will require significant improvements in analysis techniques to reach their promised levels of performance in a routine manner. Until these techniques are fully…

Instrumentation and Methods for Astrophysics · Physics 2012-06-29 Peter K. G. Williams , Casey J. Law , Geoffrey C. Bower

For a broad class of input-output maps, arguments based on the coding theorem from algorithmic information theory (AIT) predict that simple (low Kolmogorov complexity) outputs are exponentially more likely to occur upon uniform random…

Data Analysis, Statistics and Probability · Physics 2019-10-03 Kamaludin Dingle , Guillermo Valle Pérez , Ard A. Louis

ProSper is a python library containing probabilistic algorithms to learn dictionaries. Given a set of data points, the implemented algorithms seek to learn the elementary components that have generated the data. The library widens the scope…

Signal Processing · Electrical Eng. & Systems 2019-08-20 Georgios Exarchakis , Jörg Bornschein , Abdul-Saboor Sheikh , Zhenwen Dai , Marc Henniges , Jakob Drefs , Jörg Lücke

We present an in-place implementation of the cryptographic permutation \textbf{Gimli}, a NIST round 2 candidate for lightweight cryptography, and provide an upper bound for the required quantum resource in depth and gate-counts. In…

Cryptography and Security · Computer Science 2021-11-03 Lars Schlieper

Our RLibm project generates a single implementation for an elementary function that produces correctly rounded results for multiple rounding modes and representations with up to 32-bits. They are appealing for developing fast reference…

Mathematical Software · Computer Science 2025-06-02 Sehyeok Park , Justin Kim , Santosh Nagarakatte

A class of two-bit bit flipping algorithms for decoding low-density parity-check codes over the binary symmetric channel was proposed in [1]. Initial results showed that decoders which employ a group of these algorithms operating in…

Information Theory · Computer Science 2012-05-22 Dung Viet Nguyen , Bane Vasic , Michael W. Marcellin
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