نتایج جستجو برای: memoryless system

تعداد نتایج: 2232770  

Journal: :Signal Processing 2015
Daniel G. Silva Jugurta R. Montalvão Filho Romis de Faissol Attux Luis Coradine

This work proposes a new approach to the blind inversion of Wiener systems. A Wiener system is composed of a linear time-invariant (LTI) sub-system followed by a memoryless nonlinear function. The goal is to recover the input signal by knowing just the output of the Wiener system, and the straightforward scheme to achieve this is called the Hammerstein system –– apply a memoryless nonlinear map...

2015
Blaise Genest Doron A. Peled Sven Schewe

We compare three notions of knowledge in concurrent system: memoryless knowledge, knowledge of perfect recall, and causal knowledge. Memoryless knowledge is based only on the current state of a process, knowledge of perfect recall can take into account the local history of a process, and causal knowledge depends on the causal past of a process, which comprises the information a process can obta...

2003
Pedro Miguel Lavrador Nuno Borges de Carvalho José Carlos Pedro

The Bussgang coefficient is calculated for a memoryless nonlinear system and the concept extended to a dynamic system modeled by a Volterra Series and for Gaussian Inputs. The theory obtained is then applied to a simple system and the underlying linear system obtained for different system configurations.

1996
O. ANDERSON

A criterion for the stability of control systems which contain an arbitrary jinik number oj memoryless nonlinearities is considered. The criterion is such that the degree oj stability may be specijied, and such that for the case when the absolute stability of a control system having one memoryless nonlinearity is considered, it reduces to the original Popov criterion. Introduction The formulati...

Journal: :IEEE Transactions on Information Theory 2005

2014
Oh Sang Kwon

In this paper, the new hybrid adaptive Volterra filter was proposed to be applied for compensating the nonlinear distortion of memoryless nonlinear systems with saturation characteristics. Through computer simulations as well as the analytical analysis, it could be shown that it is possible for both conventional Volterra filter and proposed Volterra filter, to be applied for linearizing the mem...

1998
Jin Lu Aria Nosratinia Behnaam Aazhang

Transmission of compressed image data over noisy channels is an important problem and has been investigated in a variety of scenarios. In this paper, we propose a progressive time-varying source-channel coding system for transmitting images over wireless channels. The core result of this paper is a systematic method of instantaneous rate allocation between the progressive source coder and chann...

2000
Anas FATTOUH Olivier SENAME Jean-Michel DION

A memoryless state feedback control law is developed such that the closed-loop system containing point and distributed time-delays is asymptotically stable and the H∞-norm of the transfer function from the disturbance to the controlled output is reduced to some predefined level. The feedback is obtained by solving a parameter-dependent linear matrix inequality. When the state variables are not ...

2012
Simon Bliudze

We propose and study the notions of behaviour type and composition operator making a first step towards the definition of a formal framework for studying behaviour composition in a setting sufficiently general to provide insight into how the component-based systems should be modelled and compared. We illustrate the proposed notions on classical examples (Traces, Labelled Transition Systems and ...

Journal: :IEEE Trans. Information Theory 2000
Anand Ganti Amos Lapidoth Emre Telatar

The mismatch capacity of a channel is the highest rate at which reliable communication is possible over the channel with a given (possibly suboptimal) decoding rule. This quantity has been studied extensively for single-letter decoding rules over discrete memoryless channels (DMCs). Here we extend the study to memoryless channels with general alphabets and to channels with memory with possibly ...

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