نتایج جستجو برای: g frame

تعداد نتایج: 537671  

Journal: :Annales Polonici Mathematici 2022

We describe QCH Kähler surfaces $(M,g,J)$ of generalized orthotoric type. introduce a distinguished orthonormal frame on $(M,g)$ and give the structure equations for $(M,g,J)$. In case when opposite Hermitian $I$ is conformally

Journal: :IEEE transactions on neural networks 2006
Lipo Wang Haixiang Shi

In this paper, we propose a gradual noisy chaotic neural network (G-NCNN) to solve the NP-complete broadcast scheduling problem (BSP) in packet radio networks. The objective of the BSP is to design an optimal time-division multiple-access (TDMA) frame structure with minimal TDMA frame length and maximal channel utilization. A two-phase optimization is adopted to achieve the two objectives with ...

Journal: :Adv. Comput. Math. 2007
Peter G. Casazza Gitta Kutyniok

Frames have turned out to be an essential tool for many applications such as, for example, data transmission, due to their robustness not only against noise but also against losses and due to their freedom in design [4, 6]. Their main advantage lies in the fact that a frame can be designed to be redundant while still providing a reconstruction formula. Since the frame operator Sg = ∑n i=1 〈g, f...

1999
Ole Christensen

Abstract. A Weyl-Heisenberg frame for L(R) is a frame consisting of translates and modulates of a fixed function in L(R), i.e. (EmbTnag)m,n∈Z , with a, b > 0, and g ∈ L(R). In this paper we will give necessary and sufficient conditions for this family to form a tight WH-frame. This allows us to write down explicitly all functions g so that (EmbTnag) is an orthonormal basis for L (R). These resu...

Journal: :Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics 2019

2005
Radu Balan Peter G. Casazza Christopher Heil Zeph Landau Hans G. Feichtinger

Frames have applications in numerous fields of mathematics and engineering. The fundamental property of frames which makes them so useful is their overcompleteness. In most applications, it is this overcompleteness that is exploited to yield a decomposition that is more stable, more robust, or more compact than is possible using nonredundant systems. This work presents a quantitative framework ...

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