The distribution of fitness effects (DFE) has considerable importance in population genetics. To date, estimates of the DFE come from studies using a small number of individuals. Thus, estimates of the proportion of moderately to strongly deleterious new mutations may be unreliable because such variants are unlikely to be segregating in the data. Additionally, the true functional form of the DF...

Due to the inherent feedback in a decision feedback equalizer (DFE) the minimummean square error (MMSE) or Wiener solution is not known exactly. The main difficulty in such analysis is due to the propagation of the decision errors, which occur because of the feedback. Thus in literature, these errors are neglected while designing and/or analyzing the DFEs. Then a closed form expression is obtai...

This contribution proposes a minimum bit error rate (MBER) decision feedback equaliser (DFE) designed for single-input multiple-output (SIMO) systems employing a quadrature phase shift keying (QPSK) modulation scheme. It is shown that this MBER design is superior over the standard minimum mean square error DFE in the SIMO scenario considered, in terms of the achievable system bit error rate. A ...

The paper presents an approach to teaching design for environment (DFE) in the context of a product design and development course. The teaching method has been applied in classes at the Massachusetts Institute of Technology for graduate engineering, business, and design students. Our approach includes a step-by-step DFE process and utilizes a recent Herman Miller chair as a case study to illust...

The distribution of fitness effects (DFE) of new mutations is a key parameter in determining the course of evolution. This fact has motivated extensive efforts to measure the DFE or to predict it from first principles. However, just as the DFE determines the course of evolution, the evolutionary process itself constrains the DFE. Here, we analyze a simple model of genome evolution in a constant...

In this work, we propose a Decision feedback equalizer (DFE) for Multiple Input Multiple Output (MIMO) DFT-spread OFDMA. This DFE can handle Multiple users, multiple antennas at the transmitter and receiver and the intersymbol interference in the received symbols of the DFT-spread OFDMA. The conventional method used in DFT-spread OFDMA is linear Frequency domain equalization (FDE). The DFE, wit...

In this paper we have present performance analysis of different equalization techniques such as minimum mean– squared error (MMSE), Least mean square (LMS), Recursive Least Square (RLS) linear equalizers and MMSE-Decision Feedback equalizer (DFE), LMS-DFE, RLS-DFE non-linear equalizers in different channel conditions, in order to achieve optimal equalizer. In our simulation model we have consid...

The paper considers the conventional decision feedback equaliser (DFE) that employs a linear combination of the channel observations and past decisions. An expression of the symbol error rate (SER) is derived for the linear-combiner DFE with the general M-PAM constellation by utilising a geometric translation property of decision feedback. A method is developed to optimise the coefficients of t...

| This paper formulates, and provides a solution to, a ltering problem based on certain de-terministic constraint imposed on the error sequence. The formulation is called Set-Membership Filtering (SMF) and is a generalization of Set-Membership Identiication (SMI) for system identiication. A Set-Membership Decision Feedback Equalizer (SM-DFE) is proposed as an example of its application to non-l...