Cover Image

The Structure of a Sequential Method for Constructing Linear Convolution Algorithms With the Help of the HNS

Saved in:

Bibliographic Details
Date:	2018
Main Authors:	Ja. A. Kalinovskij, Ju. E. Bojarinova, Ja. V. Khitsko, A. S. Sukalo
Format:	Article
Language:	English
Published:	2018
Series:	Electronic modeling
Online Access:	http://jnas.nbuv.gov.ua/article/UJRN-0000988049
Tags:	Add Tag No Tags, Be the first to tag this record!
Journal Title:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Similar Items

Recursive method for constructing linear convolution algorithms of various lengths using hypercomplex number systems
by: Ja. A. Kalinovskij, et al.
Published: (2018)

Application of isomorphic hypercomplex numerical systems for synthesis of fast linear convolutional algorithms
by: Ja. A. Kalinovskij, et al.
Published: (2018)

Structure of an algoritsm for quick two-dimensional convolution by means of isomorphing hypercomplex numerical systems
by: Ja. A. Kalinovskij, et al.
Published: (2018)

Recursive method for constructing linear convolution algorithms of various lengths using hypercomplex number systems.
by: Kalinovsky, Ya. A., et al.
Published: (2019)

Efficient algorithms for solving equations of isomorphic hypercomplex digital systems with the help of presented exponents
by: Ja. A. Kalinovskij
Published: (2017)

Use of methods for generating isomorphic hypercomplex number systems to increase the efficiency of multiplying hypercomplex numbers
by: Ja. O. Kalinovskij, et al.
Published: (2018)

Construction of high dimensional isomorphic hypercomplex numerical systems
by: Ja. A. Kalinovskij, et al.
Published: (2016)

System of hypercpomplex operations in Maple
by: Ja. A. Kalinovskij, et al.
Published: (2017)

Software complex for hypercomplex computations
by: Ja. A. Kalinovskij, et al.
Published: (2017)

Method of Selecting Hypercomplex Number Systems for Modeling Digital Reversing Filters of the 3rd and 4th Orders
by: Ja. A. Kalinovskij, et al.
Published: (2019)

Structure of an algoritsm for quick two-dimensional convolution by means of isomorphing hypercomplex numerical systems
by: Kalinovsky, Ya. A., et al.
Published: (2018)

Optimization of summary parametric sensitivity of reversible digital filters with coefficients in non-canonical hypercomplex digital systems
by: Ja. A. Kalinovskij, et al.
Published: (2015)

A study of algebraic and functional properties of generalized hyper-complex number systems of fourth dimension.
by: Ja. A. Kalinovskij, et al.
Published: (2017)

Fast calculation of cyclic convolution of multi-digit values based FFT in a sequential computational model
by: A. M. Tereshchenko, et al.
Published: (2016)

Международная конференция по высокоазотистым сталям HNS-2004
by: Балицкий, А.И.
Published: (2004)

The Structure of a Hyper Fast Calculation Method Linear Convolution of Discrete Signals
by: Калиновський, Я. О.
Published: (2013)

Research of computing operations in hypercomplex number system of antiquaternions
by: Ja. A. Kalinovskij, et al.
Published: (2014)

A research of properties of the generalized quaternions and their relationships with grassmann-clifford procedure of doubling
by: Ja. A. Kalinovskij, et al.
Published: (2015)

Sequential structuring Method for Building Dynamic Objects Management Systems
by: D. O. Shepetukha, et al.
Published: (2024)

Improved Decoding Algorithms for Convolutional Codes
by: K. P. Sosnenko
Published: (2024)

Mathematical modeling of the trigonometric functions in a numerical system of generalized quaternions
by: Ja. A. Kalinovskij, et al.
Published: (2016)

Method of forming multi-leveled sequential patterns
by: A. V. Moldavskaja
Published: (2016)

Method of forming multi-leveled sequential patterns
by: Moldavskaya, A.V.
Published: (2018)

Methodics of data preprocessing in problem of sequential analysis
by: Moldavskaya, A. V., et al.
Published: (2017)

Methodics of data preprocessing in problem of sequential analysis.
by: A. V. Moldavskaja, et al.
Published: (2017)

Features of representations of exponential functions in HNS of high dimensions by software of hypercomplex calculations
by: Боярінова, Ю. Є., et al.
Published: (2021)

Features of representations of exponential functions in HNS of high dimensions by software of hypercomplex calculations
by: Yu. Ye. Boiarinova, et al.
Published: (2021)

Comparative analysis of construction of the decoder of the convolution code
by: E. P. Sosnenko
Published: (2015)

Using Minor Language Units for Speech Recognition with the Help of DTW-Algorithm
by: Ju. Shelepov, et al.
Published: (2015)

Algorithm to construct bifurcation structure of non-linear boundary problem for von Karman equations
by: V. A. Gromov
Published: (2017)

An approximation of class of convolutions of periodic functions by linear methods based on their Fourier-Lagrange coefficients
by: A. S. Serdiuk, et al.
Published: (2017)

Algorithmization of the decision of magneto-elasticity thin bodies problems with the help of the R-functions method
by: Sh. A. Nazirov, et al.
Published: (2011)

The metod for research of isomorphism of indecomposable hypercomplex number systems
by: Ja. A. Kalinovskij, et al.
Published: (2017)

Experimental evaluation of reducing the amount of calculations using representations of hypercomplex nonlinearities
by: Ja. A. Kalinovskij, et al.
Published: (2016)

Algorithm and tools for constructing canonical forms of linear semi-algebraic formulas
by: M. S. Lvov, et al.
Published: (2018)

Algorithmization of the decision of magneto-elasticity thin bodies problems with the help of the R-functions method
by: Назиров, Ш. А., et al.
Published: (2016)

Algorithmization of the decision of magneto-elasticity thin bodies problems with the help of the R-functions method
by: Назиров, Ш. А., et al.
Published: (2016)

Algorithm of sequential finding the textural features characterizing homogeneous texture segments for the image segmentation task
by: A. D. Goltsev, et al.
Published: (2013)

Translation of VHDL Sequential Statements
by: Radziewicz, M.
Published: (2008)

On the optimal reconstruction of the convolution of n functions according to the linear information
by: V. F. Babenko, et al.
Published: (2016)