Transformation between linear network features in convolution approach

被引：0

作者：

Szekely, Vladimir ^{[1
]}

Szalai, Albin ^{[1
]}

机构：

[1] Budapest Univ Technol & Econ, Dept Electron Devices, Budapest, Hungary

来源：

INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS | 2015年 / 43卷 / 01期

关键词：

linear networks; passive circuits; network theory; convolution; logarithmic scale; FOURIER-TRANSFORM; ALGORITHM; INTEGRALS; SERIES;

D O I：

10.1002/cta.1928

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper deals with the description of general linear passive circuit features by using convolution equations. For this purpose, the variables of linear networks are transformed to the logarithmic scale, which is widely used in the case of frequency variable. On the other hand, it is an unconventional method for complex frequency and time variables. The introduced relations are suitable for complex calculations in a direct and simple way. Copyright (c) 2013 John Wiley & Sons, Ltd.

引用

页码：94 / 110

页数：17

共 50 条

[1] Convolution with the linear canonical Hankel transformation
Tanuj Kumar
Akhilesh Prasad
Boletín de la Sociedad Matemática Mexicana, 2019, 25 : 195 - 213
[2] Convolution with the linear canonical Hankel transformation
Kumar, Tanuj
Prasad, Akhilesh
BOLETIN DE LA SOCIEDAD MATEMATICA MEXICANA, 2019, 25 (01): : 195 - 213
[3] An Approach to Face Detection and Alignment Using Hough Transformation with Convolution Neural Network
Misra, Oshin
Singh, Ajit
2016 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION, & AUTOMATION (ICACCA) (FALL), 2016, : 271 - 275
[4] A fast convolution approach to the transformation of surface gravity waves: Linear waves in 1DH
Schaeffer, Hemming A.
COASTAL ENGINEERING, 2009, 56 (5-6) : 517 - 533
[5] An Approach of Combining Convolution Neural Network and Graph Convolution Network to Predict the Progression of Myopia
Li, Lei
Zhu, Haogang
Wen, Longbo
Lan, Weizhong
Yang, Zhikuan
NEURAL PROCESSING LETTERS, 2023, 55 (01) : 247 - 257
[6] An Approach of Combining Convolution Neural Network and Graph Convolution Network to Predict the Progression of Myopia
Lei Li
Haogang Zhu
Longbo Wen
Weizhong Lan
Zhikuan Yang
Neural Processing Letters, 2023, 55 : 247 - 257
[7] A New Churn Prediction Model Based on Deep Insight Features Transformation for Convolution Neural Network Architecture and Stacknet
Rabbah J.
Ridouani M.
Hassouni L.
International Journal of Web-Based Learning and Teaching Technologies, 2022, 17 (01):
[8] FAST LINEAR CONVOLUTION ALGORITHM BASED ON A RECTANGULAR TRANSFORMATION.
Titov, M.A.
Shpenov, M.N.
Savin, V.V.
Radioelectronics and Communications Systems (English translation of Izvestiya Vysshikh Uchebnykh Z, 1985, (08): : 75 - 77
[9] EQUIVALENT TRANSFORMATION OF LINEAR NETWORK BY LINEAR OPERATOR
ITO, C
ELECTRONICS & COMMUNICATIONS IN JAPAN, 1971, 54 (02): : 53 - &
[10] Convolution in Convolution for Network in Network
Pang, Yanwei
Sun, Manli
Jiang, Xiaoheng
Li, Xuelong
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29 (05) : 1587 - 1597

← 1 2 3 4 5 →