Carrier frequency offset (CFO) is a challenging problem in the uplink of single-carrier division multiple access (SC-FDMA) system. CFOs effect on orthogonality between subcarriers and cause inter-carrier interference (ICI) (MAI). This paper, analyzes impact performance Discrete Sine Transform (DST) SC-FDMA (DST-SC-FDMA) system investigates with different wireless channels, modulation schemes ma...

This paper investigates optimum and sub-optimum linear Minimum Mean Square Error (MMSE) Multi-User Detection (MUD) techniques for multi-carrier code division multiple access transmission systems. In a first step, we present two formulations of MMSE MUD techniques that are optimum for any number of users and any power distribution and achieve exactly the same performance with a different computa...

In this paper we present an MMSE (minimum mean square error) speech feature enhancement algorithm, capitalizing on a new probabilistic, nonlinear environment model that effectively incorporates the phase relationship between the clean speech and the corrupting noise in acoustic distortion. The MMSE estimator based on this phase-sensitive model is derived and it achieves high efficiency by explo...

In most previous research work on data detection in mobile radio systems the noise is assumed to be Gaussian distributed with known noise variance, and a separate variance estimation is required in realistic scenarios. In order to avoid the additional variance estimator and to obtain better system performance, a novel optimum minimum mean square error (MMSE) detector exploiting noise statistics...

Adaptive filtering has traditionally been developed based on the minimum mean square error (MMSE) principle and has found ever-increasing applications in communications. The paper develops adaptive filtering based on an alternative minimum bit error rate (MBER) criterion for communication applications. It is shown that the MBER filtering exploits the non-Gaussian distribution of filter output e...

Adaptive digital filtering has traditionally been developed based on the minimum mean square error (MMSE) criterion and has found ever-increasing applications in communications. This paper presents an alternative adaptive filtering design based on the minimum symbol error rate (MSER) criterion for communication applications. It is shown that the MSER filtering is smarter, as it exploits the non...

Frequency-domain equalization (FDE) based on minimum mean square error (MMSE) criterion can replace the conventional rake combining to significantly improve the bit error rate (BER) performance in a frequency-selective fading channel. MMSE-FDE requires an accurate estimate of the channel transfer function and the signal-to-noise power ratio (SNR). Direct application of pilot-assisted channel es...

In this paper Adaptive filter is designed and simulated using different algorithms for noise reduction in different signals. The developed filter has been analyzed using Least Mean Square (LMS), Normalized Least Mean Square (NLMS) and Recursive Least Squares (RLS) algorithms for sinusoidal, chirp and saw-tooth signals. The performance of developed filter has been compared interms of Rate of Con...

This paper presents a Multiple-Input Multiple-Output (MIMO) transmission scheme that combines the spatial modulation (SM) with MIMO spatial multiplexing technique. The SM uses NA number of active antennas to transmit the same symbol, the proposed MIMO model uses the NA number of active antennas to transmit different symbols at the same time to increases the spectral efficiency of the system. A ...

Channel estimation is one of the key technologies in Orthogonal Frequency Division Multiplexing (OFDM) systems, which has received more and more consideration. At first, the scheme uses the idea of matrix diagonalization to improve the Minimum Mean Square Error (MMSE) estimation method, making it to greatly reduce the complexity while maintain the estimate convergence. Then, an adaptive scheme ...