The cost function of constant modulus algorithm (CMA) is simplified to meet second norm form, and the blind equalizer can use recurrent least squares (RLS) algorithm to update the weights. Considering the underwater acoustic channel is usually nonlinear, decision feedback equalizer is used as the blind equalizer. According to the simplified cost function of CMA, the weights of forward part and ...

Single-Carrier (SC) transmission with the same bandwidth as Multi-Carrier (MC) transmission (such as OFDM) may have far shorter symbol duration and is considered to be more robust against time selective fading. In this paper, we proposed the novel equalization and signal separation schemes in time domain for short block length transmission, i.e., Block Linear Equalization (BLE) and Block Nonlin...

Recently, multi-carrier code division multiple access (MC-CDMA) has been attracting much attention for the broadband wireless access in the next generation mobile communications systems. In the case of uplink transmissions, the orthogonality among users’ signals is lost since each user’s signal goes through different fading channel and hence, multi-access interference (MAI) is produced, thereby...

fiscal equalization is the process through which a central government makes funds available to lower level governments with the objective of reducing the degree of inequality in the revenues that such governments can raise using their own revenue instruments.’ While the proximate objective is concerned with revenues, the ultimate objective may be to reduce inequalities in public expenditure.2 E...

Most of the commonly used blind equalization algorithms are based on the minimization of a nonconvex and nonlinear cost function and a neural network gives smaller residual error as compared to a linear structure. The efficacy of complex valued feedforward neural networks for blind equalization of linear and nonlinear communication channels has been confirmed by many studies. In this paper we p...

We present a receiver structure with joint blind equalization, carrier recovery, and timing recovery. The blind equalizer employs a decomposition transversal filtering technique which can reduce the complexity of convolution to about a half. We analyze the performance surface of the equalizer cost function and show that the global minima correspond to perfect equalization. We also derive proper...

1 COMBINED BLIND EQUALIZATION AND TURBO DECODING Javier Garcia-Frias and John D. Villasenor Electrical Engineering Department University of California, Los Angeles Abstract| We describe parallel concatenated codes for communication in the presence of intersymbol interference (ISI). Two iterative decoder structures which combine channel equalization and turbo decoding are presented. The rst one ...

The distortion and inter symbol interference caused by multipath effects of channel degrades the quality of signal transmission in transmission system of digital baseband. Adaptive channel equalization is used commonly to compensate these effects so as to increase the reliability of propagation. Recursive Least Squares (RLS) algorithm is most commonly used adaptive algorithm because of its simp...

Article history: Received 29 July 2014 Received in revised form 3 October 2015 Accepted 5 October 2015 Available online 22 October 2015 This paper examines the relationship between tax competition and fiscal equalization in a standard tax competition model with repeated actions, in which regions differ in per capita capital endowments and production technologies. In particular, it asks how a fi...

Blind equalization is a technique for adaptive equalization of a communication channel without the use of training sequence. Although the constant modulus algorithm (CMA) is one of the most popular adaptive blind equalization algorithms, because of using fixed step size it suffers from slow convergence rate. A novel enhanced variable step size CMA algorithm (VSS-CMA) based on autocorrelation of...