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Identification and deconvolution of multichannel linear nonGaussian processes using higher order statistics and inverse filter criteria
 IEEE Trans. Signal Process
, 1997
"... Abstract—This paper is concerned with the problem of estimation and deconvolution of the matrix impulse response function of a multipleinput multipleoutput (MIMO) system given only the measurements of the vector output of the system. The system is assumed to be driven by a temporally i.i.d. and s ..."
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Cited by 42 (1 self)
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Abstract—This paper is concerned with the problem of estimation and deconvolution of the matrix impulse response function of a multipleinput multipleoutput (MIMO) system given only the measurements of the vector output of the system. The system is assumed to be driven by a temporally i.i.d. and spatially independent nonGaussian vector sequence (which is not observed). An iterative, inverse filter criteriabased approach is developed using the thirdorder or the fourthorder normalized cumulants of the inverse filtered data at zero lag. Stationary points of the proposed cost functions are investigated. The approach is input iterative, i.e., the input sequences are extracted and removed one by one. The matrix impulse response is then obtained by cross correlating the extracted inputs with the observed outputs. Identifiability conditions are analyzed. Strong consistency of the proposed approach is also briefly discussed. Computer simulation examples are presented to illustrate the proposed approaches. I.
Capacity, mutual information, and coding for finitestate Markov channels
 IEEE Trans. Inform. Theory
, 1996
"... Abstract The FiniteState Markov Channel (FSMC) is a discretetime varying channel whose variation is determined by a finitestate Markov process. These channels have memory due to the Markov channel variation. We obtain the FSMC capacity as a function of the conditional channel state probability. W ..."
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Cited by 15 (2 self)
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Abstract The FiniteState Markov Channel (FSMC) is a discretetime varying channel whose variation is determined by a finitestate Markov process. These channels have memory due to the Markov channel variation. We obtain the FSMC capacity as a function of the conditional channel state probability. We also show that for i.i.d. channel inputs, this conditional probability converges weakly, and the channel's mutual information is then a closedform continuous function of the input distribution. We next consider coding for FSMCs. In general, the complexity of maximumlikelihood decoding grows exponentially with the channel memory length. Therefore, in practice, interleaving and memoryless channel codes are used. This technique results in some performance loss relative to the inherent capacity of channels with memory. We propose a maximumlikelihood decisionfeedback decoder with complexity that is independent of the channel memory. We calculate the capacity and cutoff rate of our technique, and show that it preserves the capacity of certain FSMCs. We also compare the performance of the decisionfeedback decoder with that of interleaving and memoryless channel coding on a fading channel with 4PSK modulation.
Pursuit of the ECG Information Density by Data Cancelling in TimeFrequency Domain
 in TimeFrequency Domain” – IFMBE Proc. Vol.2 2002
, 2002
"... This work presents new method of local information density estimation in the ECG. Its principle is the controlled elimination of the data by cancelling the timefrequency plane coefficients of an electrocardiogram with simultaneous analysis of resulted inaccuracy of basic diagnostic parameters. In s ..."
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Cited by 9 (9 self)
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This work presents new method of local information density estimation in the ECG. Its principle is the controlled elimination of the data by cancelling the timefrequency plane coefficients of an electrocardiogram with simultaneous analysis of resulted inaccuracy of basic diagnostic parameters. In some regions of the standard ECG recording cutting out a given amount of data influences more the diagnostic parameters distortion than in the others. These regions are well related to the waves start and endpoints. Furthermore, we computed the time function representing the typical diagnostic data stream density in an electrocardiogram. This function is the background of the ECG compression with use of adaptively modified characteristics, and is useful for comparing of distortion and assessment of differences in the ECG signals.
IEEE 802.11 MAClevel FEC scheme with retransmission combining
 IEEE Transactions on Wireless Communications
, 2006
"... Abstract — In this paper, we evaluate and enhance the performance of a Forward Error Correction (FEC) scheme for IEEE 802.11 Medium Access Control (MAC). A novel retransmission combining technique is proposed to enhance the performance of the MAClevel FEC scheme. We also identify the problem with t ..."
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Cited by 4 (0 self)
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Abstract — In this paper, we evaluate and enhance the performance of a Forward Error Correction (FEC) scheme for IEEE 802.11 Medium Access Control (MAC). A novel retransmission combining technique is proposed to enhance the performance of the MAClevel FEC scheme. We also identify the problem with the IEEE 802.11a physical (PHY) layer when it is used with the MAClevel FEC. A new PHY frame format, backward compatible with the original format, is proposed to resolve the problem. Finally, we analytically evaluate the error performance of the MAClevel FEC, and its enhanced performance via retransmission combining and new 802.11a PHY frame format in AWGN environment. Additionally, we present and discuss the results from simulations using TCP/UDP traffic in more realistic channel environments. Index Terms — IEEE 802.11 WLAN, MAClevel FEC, IEEE 802.11a PHY, ReedSolomon (RS) code, retransmission combining.
Mitigating error propagation effects in a decision feedback equalizer
 IEEE Trans. Commun
, 2001
"... ..."
STATISTIC CHARACTERISTICS OF MARY FSK SIGNAL IN THE PRESENCE OF GAUSSIAN NOISE, IMPULSE NOISE AND VARIABLE SIGNAL AMPLITUDE
"... Abstract. In this paper the receiver for the demodulation of MFSK signals in the presence of Gaussian noise, impulse noise and variable signal amplitude is considered. The communication systems are subject to Gaussian noise, impulse noise and Rayleigh signal amplitude that can seriously degrade the ..."
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Abstract. In this paper the receiver for the demodulation of MFSK signals in the presence of Gaussian noise, impulse noise and variable signal amplitude is considered. The communication systems are subject to Gaussian noise, impulse noise and Rayleigh signal amplitude that can seriously degrade their performance. 1.
The Performance of Noncoherent Orthogonal IMFSK in the Presence of Timing and Frequency Errors
"... The purpose of this paper is to evaluate this performance Practical MFSK systems experience a combination of time and degradation, first by treating the two sources of degradation frequency offsets (errors). This paper assesses the deleterious effect separately, and then by considering their simult ..."
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The purpose of this paper is to evaluate this performance Practical MFSK systems experience a combination of time and degradation, first by treating the two sources of degradation frequency offsets (errors). This paper assesses the deleterious effect separately, and then by considering their simultaneous effect. In ofthese offsets, first individually and then combined, on the average particular, we shall present exact cxprcssions for thc symbol and hit error probability performance ofthe system. Exact expressions for these various error prohability performances are derived and bit error probability performances of noncoherent orthogonal Mevaluated numerically for system parameters of interest. Also FSK conditioned on the presence of time and frequency errors. presented are upper boundsonaverage symbol error probability for the case of frequency error alone which are useful in assessing the These expressions involve integrals of MarcumQ functions and, absolute and relative performance of the system. Both continuous as such, their numerical evaluation is cumbcrsomc. Thus, for the and discontinuous phase MFSK cases are considered when timing case of frequency error only, we present various upper on bounds error is present, the latter being much less robust to this type of
TABLE OF CONTENTS
, 1046
"... The purpose of this ATM is to estimate from theoretical considerations the probability of fragments from an LSP explosive package striking the ALSEP Central Station. For the assumptions listed, this probability is calculated to be less than • 068<fo (. 00068). ..."
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The purpose of this ATM is to estimate from theoretical considerations the probability of fragments from an LSP explosive package striking the ALSEP Central Station. For the assumptions listed, this probability is calculated to be less than • 068<fo (. 00068).
State Variable Approach to Carrier Phase Recovery and Fine Automatic Gain Control on Flat Fading Channels
, 1996
"... Contents Chapter 1 Introduction 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1 Problem statement 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1.1 Optimum receivers for fading channels 2 . . . . . . . . . . . . . . . . . ..."
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Contents Chapter 1 Introduction 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1 Problem statement 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1.1 Optimum receivers for fading channels 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1.2 Synchronisation in conventional receivers 7 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 Motivation: digital mobile and portable radio 14 . . . . . . . . . . . . . . . . . . . . . 1.3 Chapter overview and original contribution 20 . . . . . . . . . . . . . . . . . . . . . . Chapter 2 Fading channel models 23 . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.1 Statistical characterisation of fading channels 23 . . . . . . . . . . . . . . . . . . . . . 2.1.1 Short term fading 24 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .