In this paper we analyze and extend a class of adaptive networks for second order blind decorrelation of instantaneous signal mixtures Firstly we compare the performance of the decorrelation neural network employing global knowledge of the adaptive coe cients with a similar structure whose coe cients are adapted via lo cal output connections Through statistical analyses the convergence behavior...

ISSN 2277 – 503X | © 2013 Bonfring Abstract--This paper focuses on the strength of combining cryptography and steganography methods to enhance the security of communication over an open channel. Here the data to be send are secured by using the compressive sensing method and the Singular Value Decomposition (SVD) based embedding method. The data is encrypted using the compressive measurements o...

Now a day’s wireless channels effecting due to fading is the main issue in communications. MIMO techniques enable higher spectral efficiency and improve robustness against channel fading. In this paper an effort has been made to illustrate the performance comparison of the Rayleigh & Rician fading channel models for MIMO system using MATLAB simulation. The Water filling algorithm has been imple...

Widely linear (WL) minimum mean square error (MMSE) channel estimation scheme have been proposed for multiband orthogonal frequency division multiplexing ultra-wideband (MB-OFDM UWB) systems dealing with non-circular signals. This WLMMSE channel estimation scheme provides significant performance gain, but it presents a high computational complexity compared with the linear one. In this paper, w...

Although deep learning has proven to be tremendously successful, the main issue is dependency of its performance on quality and quantity training datasets. Since data can affected by biases, a novel method based decorrelation presented in this study. The specifically learns bias invariant features reducing non-linear statistical between itself. This makes models less prone biased decisions addr...

The issue of channel estimation is investigated for the UHF MIMO-RFID systems over pinhole channel. A training sequences aided linear minimum mean square error (LMMSE) channel estimation is proposed for the whole pinhole channel at the reader. Based on the mean square error (MSE) criterion, the MSE bound and the optimal training scheme with this bound are derived. By exploiting the optimal trai...

Abstract Singular value decomposition (SVD) beamforming is an attractive tool for reducing the energy consumption of data transmissions in wireless sensor networks whose nodes are equipped with multiple antennas. However, this method often not practical due to two important shortcomings: it requires channel state information at transmitter and computation SVD matrix generally too complex. To de...

This paper proposes a stereo acoustic echo suppression method for duplex stereo teleconferencing. Firstly the stereo signals are combined in the frequency domain to build a single-channel signal. Secondly, with the single-channel signal model, an optimal Linearly Constrained Minimum Variance (LCMV) filter based on the Widely Linear theory is derived, which is applied on microphone signal direct...

Hybrid precoding can significantly reduce the number of required radio frequency (RF) chains and relieve the huge energy consumption in mmWave massive MIMO systems, thus attracting much interests from academic and industry. However, most existing hybrid precoding schemes are based on singular value decomposition (SVD). Due to the very different subchannel signal-to-noise ratios (SNRs) after SVD...

In this paper we consider the estimation of mobile channels that are modeled as autoregressive processes with a bandwidth commensurate with the Doppler spread. Pilot based estimation leads to brute FIR channel estimates on a slot by slot basis. These estimates are then refined by Wiener filtering across slots that performs the optimal compromise between temporal decorrelation due to Doppler spr...