In this paper we develop a technique for detecting and retrieving the common harmonics in a multi-channel setup. The different (complex) signals are arranged in a set of Hankel matrices. First, we compute the singular value decomposition (SVD) of these matrices in order to denoise and normalize the relevant subspaces. Then a second SVD is applied to detect and select the common subspace. The po...

Abstract—The diagonalization of a conventional multiple-input multiple-output (MIMO) channel into parallel and independent subchannels via singular value decomposition (SVD) is a fundamental strategy that allows the MIMO channel capacity to be achieved using scalar channel codes. This letter establishes a similar channel diagonalization result for the uplink and the downlink of a cloud radio ac...

This paper discusses an adaptive modulation technique combined with space-frequency block coded OFDM(SFBC OFDM) over frequency selective channels and evaluates the performance in terms of the outdated channel state information(CSI) in mobile environments. This paper employs the Alamouti’s diversity scheme in multiple input multiple output OFDM (MIMO OFDM) and an adaptive modulation with enhance...

Fetal Electrocardiogram (FECG) can provide important clinical information for the assessment of fetal well-being. However, the extraction of FECG from the maternal abdominal wall remains an open problem due to various kinds of interferences and noises, where the maternal Electrocardiogram (MECG) is the dominant source of interference. In this study, a novel FECG extraction framework by combinin...

In this paper, a hybrid method is proposed for multi-channel electroencephalograms (EEG) signal compression. This new method takes advantage of two different compression techniques: fractal and wavelet-based coding. First, an effective decorrelation is performed through the principal component analysis of different channels to efficiently compress the multi-channel EEG data. Then, the decorrela...

MIMO-OFDM systems provide high spectral efficiency for wireless communication systems. However, they have a major drawback of high PAPR which results in inefficient use of a power amplifier and also improper detections. Now a days, in wireless communication systems, channel estimation is mandatory for higher data rates with low bit error rates. For reducing burden on system the channel estimati...

This paper presents a modified Gradient-based method to directly compute the noise subspace iteratively from received Orthogonal Frequency Division Multiplexing (OFDM) symbols estimate Channel State Information (CSI). By invoking matrix inversion lemma which is extensively used in Recursive Least Square (RLS) algorithms, proposed computationally efficient enables direct computation of using inv...

We present here the architecture and design of a special purpose CMOS VLSI chip for high-speed parallel image decorrelation/inverse decorrelation scheme which is to be used for eecient real-time losslesss image compression/ decompression. The chip is designed for one processing element of the parallel architecture that performs the image decorrelation/inverse decorrelation. The architecture is ...

Title of dissertation: CORRELATION OF SIGNALS, NOISE, AND HARMONICS IN PARALLEL ANALOG-TODIGITAL CONVERTER ARRAYS Keir Lauritzen, Doctor of Philosophy, 2009 Dissertation directed by: Professor Martin Peckerar Department of Electrical and Computer Engineering Combining M analog-to-digital converters (ADC) in parallel increases the maximum signal-to-noise ratio (SNR) by a factor of M, assuming th...