Global ETD Search
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Showing 1 to 5 of 5 for “"blind equalization"”.
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A new sufficient-order blind equalization scheme
… channels can be increased by employing a blind equalizer. The traditional blind equalization schemes, employing only adaptive finite impulse response (FIR) filter-based structures, perform poorly for maximum-phase communication channels having deep spectral nulls. This problem is due to …
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Automatic Modulation Classication and Blind Equalization for Cognitive Radios
… techniques to a CR scenario are addressed. A blind equalizer is another important signal processing component that a CR must possess since there are no training or pilot signals available in many applications. In a typical wireless communication environment the transmitted signals are …
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Fractionally Spaced Blind Equalizer Performance Improvement
Blind equalization schemes are used to cancel the effects of a channel on the received signal when the transmission of a training sequence in a predefined time slot is not possible. In the absence of a training sequence, blind equalization schemes can also increase the throughput of the overall …
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Exploring Statistic Features for Computationally-Efficient Maximum-Likelihood Algorithms in Signal Processing and Communications Applications
… applications, namely source localization and blind equalization, whose underlying problem is maximum likelihood. Our new iterative methods for solving ML are based on expectation maximization (EM) algorithms. The associated theories and practice including robustness, computational complexity, …
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Time-Varying Frequency Selective IQ Imbalance Estimation and Compensation
… time-varying IQI changes. The technique is blind and adaptive in nature, based on the second order statistical properties of complex random signals such as properness/circularity. A detailed performance analysis of the introduced technique is executed through computer simulations for various …