A unified identification algorithm of FIR systems based on binary observations with time-varying thresholds
This paper is concerned with parameter estimation of finite impulse response (FIR) systems
with binary observations. Combining a suitable design of the time-varying thresholds, a kind …
with binary observations. Combining a suitable design of the time-varying thresholds, a kind …
Identification using binary measurements for IIR systems
M Pouliquen, E Pigeon, O Gehan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper studies the identification of infinite impulse response (IIR) systems with binary-
valued measurements. The key to our approach is to recast the initial identification problem …
valued measurements. The key to our approach is to recast the initial identification problem …
Impulse response identification from input/output binary measurements
In this paper, we study the identification of Finite Impulse Response systems in a particular
context: data on the input and the output are obtained with one-bit quantizers, the thresholds …
context: data on the input and the output are obtained with one-bit quantizers, the thresholds …
Channel identification of non-linear systems with binary-valued output observations based on positive definite kernels
Nowadays, the kernel methods are increasingly developed, they are a significant source of
advances, not only in terms of computational cost but also in terms of the obtained …
advances, not only in terms of computational cost but also in terms of the obtained …
Performance Evaluation of MC-CDMA Systems with Single User Detection Technique using Kernel and Linear Adaptive Method
Among all the techniques combining multi-carrier modulation and spread spectrum, the multi-
carrier code division multiple access (MC-CDMA) system is by far the most widely studied. In …
carrier code division multiple access (MC-CDMA) system is by far the most widely studied. In …
An extended version of the proportional adaptive algorithm based on kernel methods for channel identification with binary measurements
Abstract In recent years, kernel methods have provided an important alternative solution,
as they offer a simple way of expanding linear algorithms to cover the non-linear mode as …
as they offer a simple way of expanding linear algorithms to cover the non-linear mode as …
Hyperbolic functions impact evaluation on channel identification based on recursive kernel algorithm
Over the last years, the subject of non-linear system identification has attracted considerable
interest due to the numerous applications that could be used and the broad multidisciplinary …
interest due to the numerous applications that could be used and the broad multidisciplinary …
Channel identification based on cumulants, binary measurements, and kernels
In this paper, we discuss the problem of channel identification by using eight algorithms. The
first three algorithms are based on higher-order cumulants, the next three algorithms are …
first three algorithms are based on higher-order cumulants, the next three algorithms are …
Continuous-time system identification using binary measurements
M Pouliquen, A Goudjil, O Gehan… - 2016 IEEE 55th …, 2016 - ieeexplore.ieee.org
This paper investigates the identification of Continuous-Time models based on binary
observations. Currently, no identification algorithm has been proposed in this field. The …
observations. Currently, no identification algorithm has been proposed in this field. The …
Recursive identification of IIR system using binary input/output measurements
The identification of system using binary measurements of both the input and output is a
problem relevant to a number of applications. Although the identification of finite impulse …
problem relevant to a number of applications. Although the identification of finite impulse …