Linear minimum mean square error (LMMSE) estimation is often ill-conditioned, suggesting that unconstrained minimization of the an inadequate approach to filter design. To address this, we first develop a unifying framework for studying constrained LMMSE problems. Using this framework, explore important structural property filters involving certain prefilter. Optimality invariant under invertib...

Orthogonal frequency division multiplexing (OFDM) has been adopted for several wireless network standards due to its robustness against multipath fading. Main drawback of OFDM is its high peak-to-average power ratio (PAPR) that causes a signal degradation in a peak-limiting (e.g., clipping) channel leading to a higher bit error rate (BER). At the receiver end, the effect of peak limitation can ...

This paper demonstrates the implementation of PID controller tuning using evolutionary technique which is Genetic Algorithm (GA). The optimal PID control scheme is applied to higher order system. The execution of this evolutionary strategy is evaluated by setting the objective function as mean square error (MSE), Integral time absolute error (ITAE) and Integral absolute error (IAE) one at a tim...

Osteoporosis is a disease of bones. It leads to an increased risk of fracture. The improvement in biosensor for measuring the strain on bones is required. A photometric biosensor is modeled. It is simulated. The performance of the biosensor is analyzed using Artificial Neural Network (ANN) in terms of layers of neural network. Number of epochs/iterations are carried out. The performance is anal...

Consider the MLEs (maximum likelihood estimators) of the parameters of the Gumbel distribution using SRS (simple random sample) and RSS (ranked set sample) and the MOMEs (method of moment estimators) and REGs (regression estimators) based on SRS. A comparison between these estimators using bias and MSE (mean square error) was performed using simulation. It appears that the MLE based on RSS can ...

The relation of the Al-Alaoui pattern recognition algorithm to the boosting and bagging approaches to pattern recognition is delineated. It is shown that the Al-Alaoui algorithm shares with bagging and boosting the concepts of replicating and weighting instances of the training set. Additionally it is shown that the Al-Alaoui algorithm provides a Mean Square Error, MSE, asymptotic Bayesian appr...

This paper presents a novel technique for separating convolutive mixtures of statistically independent non-Gaussian signals. The time-domain convolution is transformed into several instantaneous mixtures in the frequency-domain. The separation of these mixtures is performed in two steps. First, the instantaneous mixture at the frequency of reference is solved using JADE and the other mixtures a...

The energy compaction performance of two-channel paraunitary finite impulse response (FIR) filter banks for finitelength signals is investigated. A detailed non-iterative design procedure for boundary filters which are optimal in a weighted mean square error (MSE) sense in the Fourier domain is presented. Simulation results are given for twochannel paraunitary FIR filter banks based on minimump...