In this paper we apply the structural risk minimization principle as an appropriate criterion to train decision feedback and transversal equalizers. We consider both linear discriminant (optimal hyperplane) and nonlinear discriminant (support vector machine) classi6ers as an alternative to the linear minimum mean-square error (MMSE) equalizer and radial basis function (RBF) networks, respective...

odern digital transmission systems commonly use an adaptive equalizer as a key part of the receiver. The design of this equalizer is important since it determines the maximum quality attainable from the system, and represents a high fraction of the computation used to implement the demodulator. Recent analytical results offer a new way of looking at fractionally spaced equalizers and have some ...

The capacity in space division multiplexing (SDM) systems with coupled channels is fundamentally limited by mode-dependent loss (MDL) and gain (MDG) generated components amplifiers. In these systems, MDL/MDG must be accurately estimated for performance analysis troubleshooting. Most recent demonstrations of SDM perform estimation digital signal processing (DSP) techniques based on the coefficie...

We propose the use of bottleneck networks implemented by evolvable hardware for the adaptive blind equalization of digital communication channels. Blind Channel equalization is a method of recovering the original symbols by compensating for channel distortion at the receiver's end without any known training sequence for the startup period. If the non-linear channel distortion is too severe to i...

An improved adaptive equalizer based on the principle of minimum mean square error (MMSE) is proposed. This optimization problem which is shown to be convex, is transformed to second-order cone (SOC) and solved using the interior point method instead of conventional iterative methods such as least mean squares (LMS) or recursive least squares (RLS). To validate its performance a single-carrier ...

Receivers based on channel equalization have proven to be one of the most promising candidates for terminal receivers in wideband code-division multiple-access (WCDMA) downlink. The channel equalizers provide multiple access interference (MAI) suppression, and thus ensure adequate receiver performance even with a high number of active users. However, the performance improvement provided by the ...

In multicarrier data transmission using filter banks, adaptive equalizers can be introduced in the receiver in every sub-channel, to achieve high bit rates. Following conventional data transmission techniques, two approaches can be envisaged, namely the double sampling equalizer (DSE) and the critical sampling equalizer (CSE). Both schemes are discussed and assessed in the present paper, in the...

Intersymbol interference is an unwanted phenomenon that makes communication less reliable. However, an equalizer can reduce the bad influence of intersymbol interference. In general, my work is to compare different equalizers in various scenarios. In the first part of this paper, I explain the motivation of using equalization in detail, followed by introducing prerequisite knowledge of equaliza...

INTrODUCTION Intersymbol interference (ISI) of the digital communication channel becomes a main drawback to efficient use of frequency bandwidth efficiency and performance improvement. So, it is necessary to use adaptive equalizers to restore the digital signal distorted by ISI. For equalization, many powerful adaptive algorithms have been ABSTrACT In this chapter, the complex Backpropagation (...