In this paper, we introduce two novel methods to cancel ICI in frequency-selective MIMO channels, which suffer from inter-channel interference (ICI) and inter-symbol interference (ISI). Both of these two methods change the multiple-input multiple-output channel to some parallel single-input single-output (SISO) channels, based on the singular value decomposition (SVD) of the polynomial matrices...

| In this paper we present an adaptive blind receiver for asynchronous direct sequence code division multiple access (DS-CDMA) communication over multipath channels. The algorithm can handle both multiuser interference (MUI) and intersymbol interference (ISI) by the use of a twofold spreading together with some spatial over-sampling. It is based on a blind virtual channel identiication using th...

BCH codes in the frequency domain provide robust channel coding for image channel coding applications. The underlying problem of estimation of real/complex sinusoids in white additive noise may be formulated and solved in different ways. The standard approach is based on the least squares method and Berlekamp-Massey algorithm (BMA). In this paper we compare the performance of the BMA with other...

A lattice-ladder adaptive decorrelation filtering (ADF) algorithm is proposed with the aim of developing a more efficient co-channel speech separation system. It is shown that based on the joint forward and backward linear predictions, a lattice-ladder structure can be derived for ADF. Experimental results show that the proposed algorithm is effective in reducing cross-interference between co-c...

In this paper, a vector channel model is proposed and some statistical properties of the asymptotic efficiency of the decorrelating detector with base-station antenna arrays are investigated. It is shown that we can get gain over the conventional decorrelator by employing antenna arrays and the gain increases as the number of antennas increases and the angle dispersion decreases. It is also sho...

MIMO techniques allow increasing wireless channel performance by decreasing the BER and increasing the channel throughput and in consequence are included in current mobile communication standards. MIMO techniques are based on benefiting the existence of multipath in wireless communications and the application of appropriate signal processing techniques. The singular value decomposition (SVD) is...

Singular Value Decomposition (SVD) is a powerful tool for multivariate analysis. However, independent computation of the SVD for each sample taken from a bandlimited matrix random process will result in singular value sample paths whose tangled evolution is not consistent with the structure of the underlying random process. The solution to this problem is developed as follows: (i) a SVD with re...

In this paper, the problem of time-varying channel estimation for ZP-OFDM wireless communication systems is considered. Based on Rayleigh Quotient Iteration method, a new adaptive blind subspace channel estimation algorithm is proposed for ZP-OFDM systems. Because SVD is not required, the new algorithm has low complexity. The performance of new method has been validated through extensive simula...