In this paper, the near-far resistance of the minimum mean square error (MMSE) detector is derived for the multicarrier direct sequence code division multiple access (MC-DS-CDMA) communication systems. It is shown that MC-DS-CDMA has better performance on near-far resistance than that of DS-CDMA.

This paper addresses the problem of robust textindependent speaker verification in the presence of missing (masked by noise) features. It presents and assesses several missing feature handling approaches. In these approaches, the speech enhancement and missing feature detection are based on the minimum mean-square error (MMSE) spectral amplitude estimator of Ephraim and Malah [1].

4rthogonal frequency division multiplexing (OFDM) particularly suffers from the presence of nonlinearities since the signal amplitude is Rayleigh distributed. The degradation introduced by the nonlinear amplifier in the transmitter can be significantly reduced by using an analog cubic predistorter minimum mean square error (MMSE) predistorter proposed by the authors in [l].

In this paper, we describe the channel estimation based on time domain channel statistics. Using a general model for a slowly fading channel, we present the MMSE and LS estimators. The mean square error and symbol error rate for a BPSK system is presented by means of simulation results. Depending upon estimator complexity, up to 4 dB in SNR can be gained over the LS estimator.

Analog joint source-channel coding (JSCC) is a communication strategy that does not follow the separation principle of conventional digital systems but has been shown to approach the optimal distortion-cost tradeoff over additive white Gaussian noise channels. In this work, we investigate the feasibility of analog JSCC over multiple-input multiple-output (MIMO) fading channels. Since, due to co...

Using state-space representation, mobile object positioning problems can be described as dynamic systems, with the state representing the unknown location and the observations being the information gathered from the location sensors. For linear dynamic systems with Gaussian noise, the Kalman filter provides the Minimum Mean-Square Error (MMSE) state estimation by tracking the posterior. Hence, ...

Binaural noise reduction, with applications for instance in hearing aids, has been a very significant challenge. This task relates to the optimal utilization of the available microphone signals for the estimation of the ambient noise characteristics and for the optimal filtering algorithm to separate the desired speech from the noise. The additional requirements of low computational complexity ...

Orthogonal frequency division multiplexing (OFDM) is a keytechnique for wireless communication because of its robustness for narrow band interference, frequency selective fading and spectral efficiency. Channel estimation and equalization in OFDM is necessary in order to nullify the effect of impairments induced by the frequency selective fading channel. A frequency domain comb typepilot assist...

Since cognitive radio (CR) in conjunction with nonorthogonal multiple access is a candidate techniques for future mobile radio networks, realizing underlay spectrum sharing with high capacity gain is an important issue. In this paper, we propose an adaptive linear precoder design for a CR based multiuser MIMO broadcasting system. The proposed adaptive precoder employs regularized channel invers...

A MMSE (Minimum Mean Square Error) DS-CDMA (Direct Sequence-Code Division Multiple Access) receiver coupled with a low-complexity iterative interference suppression algorithm was devised for a MIMO/BLAST (Multiple Input, Multiple Output / Bell Laboratories Layered Space Time) system in order to improve system performance, considering frequency selective fading channels. The scheme is compared a...