Minimax Approximation of a Complex-Valued Function Modulus by Means of Linear Programming

被引:0
|
作者
Agliullin, I. N. [1 ]
Talyzin, V. A. [1 ]
Choni, Yu. I. [2 ]
机构
[1] Kazan Volga Reg Fed Univ, Dept Econ & Math Modeling, Kazan, Russia
[2] Kazan Natl Res Tech Univ KAI, Dept Radioengn & Telecommun, Kazan, Russia
关键词
approximation; minimax criterion; piecewise linear function;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The problem of approximating the complex-valued function modulus using a minimax criterion is of interest in many technical applications, such as standard process controlling systems with limiting the transient oscillations, low-side-lobe antenna arrays, or multiplexing devices having a deep channel isolation. The paper introduces approximate formulas to compute the absolute value of a complex number based on piecewise linear inequalities, thanks to which the approximation problem may be reduced to the minimax linear programming problem allowing the use of standard application packages. Computational experiments, the results of which are discussed, have proven the efficiency of the proposed computing algorithm combining high speed and good approximation accuracy.
引用
下载
收藏
页数:5
相关论文
共 50 条
  • [1] LINEAR TSCHEBYSCHEFF APPROXIMATION OF COMPLEX-VALUED FUNCTIONS
    BARRODALE, I
    DELVES, LM
    MASON, JC
    MATHEMATICS OF COMPUTATION, 1978, 32 (143) : 853 - 863
  • [2] Minimax Mutual Information approach for ICA of complex-valued linear mixtures
    Xu, JW
    Erdogmus, D
    Rao, YN
    Príncipe, JC
    INDEPENDENT COMPONENT ANALYSIS AND BLIND SIGNAL SEPARATION, 2004, 3195 : 311 - 318
  • [3] Estimation of the modulus of a complex-valued quantity
    Oberto, L.
    Pennecchi, F.
    METROLOGIA, 2006, 43 (06) : 531 - 538
  • [4] Complex-valued Function Approximation using a Fully Complex-valued RBF (FC-RBF) Learning Algorithm
    Savitha, R.
    Suresh, S.
    Sundararajan, N.
    IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, 2009, : 320 - +
  • [5] Function Approximation by Complex-Valued Multilayer Perceptron with Stochastic Resonance
    Ogawa, Kenji
    Isokawa, Teijiro
    Nishimura, Haruhiko
    Kamiura, Naotake
    Matsui, Nobuyuki
    2013 PROCEEDINGS OF SICE ANNUAL CONFERENCE (SICE), 2013, : 1544 - 1547
  • [6] On the Approximation by Local Complex-valued Splines
    Burova, I. G.
    Muzafarova, E. F.
    2018 5TH INTERNATIONAL CONFERENCE ON MATHEMATICS AND COMPUTERS IN SCIENCES AND INDUSTRY (MCSI 2018), 2018, : 57 - 62
  • [7] WIDELY LINEAR RLS CONSTANT MODULUS ALGORITHM FOR COMPLEX-VALUED NONCIRCULAR SIGNALS
    Zhang Ting
    Wang Bin
    Liu Shigang
    Journal of Electronics(China), 2014, 31 (05) : 416 - 426
  • [8] Quaternionic and complex-valued support vector regression for equalization and function approximation
    Shilton, Alistair
    Lai, Daniel T. H.
    2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6, 2007, : 920 - 925
  • [9] On best restricted range approximation in continuous complex-valued function spaces
    Li, C
    Ng, KF
    JOURNAL OF APPROXIMATION THEORY, 2005, 136 (02) : 159 - 181
  • [10] Uniqueness of feedforward complex-valued neural network with a given complex-valued function
    Nitta, T
    KNOWLEDGE-BASED INTELLIGENT INFORMATION ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, PTS 1 AND 2, 2001, 69 : 550 - 554