The adaptive algorithm has been widely used in the digital signal processing like channel estimation, channel equalization, echo cancellation, and so on. One of the most important adaptive algorithms is the LMS algorithm. We present in this paper an multiple objective optimization approach to fast blind channel equalization. By investigating first the performance (mean-square error) of the stan...

The Lebesgue spectrum filter (LSF), a finite impulse response (FIR) filter whose coefficients decay exponentially with a negative factor r := √3 − 2, is shown to be effective preprocessing for spreading code in asynchronous code-division multiple-access (CDMA) systems. The LSF has only been studied independently from the well-known minimum mean-square error (MMSE) filter, an optimal FIR filter ...

Speech recognition using articulatory features estimated using Acoustic-to-Articulatory Inversion (AAI) is considered. A recently proposed sparse smoothing approach is used to postprocess the estimates from Gaussian Mixture Model (GMM) based AAI using MinimumMean Squared Error (MMSE) criterion. It is well known that low-pass smoothing as post-processing improves the AAI performance. Sparse smoo...

This technical note compares performance of the correlations subtraction architecture of the multistage Wiener filter (CSA-MWF) in the Fractional Fourier Transform (FrFT) domain, MMSE-MWF-FrFT, to the minimum mean-square error, MMSE-FrFT, algorithm and to the conventional MMSE-FFT algorithm in severe cochannel interference. Using four equal power binary phase shift keying (BPSK) signals and a s...

In this paper, the space time transmit diversity (STTD) decoding combined with minimum mean square error (MMSE) equalization and antenna diversity reception is presented for MC-CDMA downlink and uplink in the presence of multiple users. The equalization weights that minimize the mean square error (MSE) for each subcarrier are used. From computer simulation, it was found that the downlink BER pe...

Spatial processing with adaptive antenna array has shown real promise for substantial capacity enhancement in wireless communications. We propose a novel beamforming technique based on the minimum bit error rate (MBER) criterion. It is demonstrated that the MBER approach utilizes the system resource, the antenna elements, more intelligently than the standard minimum mean square error (MMSE) app...

Frequency-domain equalization (FDE) based on the minimum mean square error (MMSE) criterion can exploit the channel frequency-selectivity to obtain the frequency diversity gain and therefore, improve the bit error rate (BER) performance of broadband single-carrier (SC) signal transmissions in a severe frequency-selective fading channel. However, the performance improvement is limited by the res...

The choice of channel estimation is of fundamental importance in OFDM receiver designs, which further involves a trade-off between complexity and estimation accuracy. In pilot-symbol-aided OFDM system, the Least Square (LS) estimator suffers from inherent additive Gaussian noise and Inter Carrier Interference (ICI), although the estimator exhibits lower complexity and requires implicit knowledg...

To approach the potential MIMO capacity while optimizing the system bit error rate (BER) performance, the joint transmit and receive minimummean squared error (MMSE) design has been proposed. It is the optimal linear scheme for spatial multiplexing MIMO systems, assuming a fixed number of spatial streams p as well as a fixedmodulation and coding across these spatial streams. However, state-of-t...

In this paper, we show that differential detection of DS-CDMA signals transmitted over a severe frequency-selective fading channel is possible. Joint frequency-domain differential detection and equalization (FDDDE) based on the minimum mean square error (MMSE) criterion is proposed. A simple decision feedback filter is used to provide a reliable reference signal for MMSE-FDDDE. It is confirmed ...