Charles K. Sestok

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This paper considers three problems in sparse filter design, the first involving a weighted least-squares constraint on the frequency response, the second a constraint on mean squared error in estimation, and the third a constraint on signal-to-noise ratio in detection. The three problems are unified under a single framework based on sparsity maximization(More)
Data selection algorithms, in detection, search for a small subset of the available data that is sufficient for making an accurate decision. This paper considers data selection for detection of a known signal in colored Gaussian noise. In our model, the performance of the matched filter detector for a specific subset is parameterized by a quadratic form.(More)
Traditionally, statistical signal processing algorithms are developed from probabilistic models for data. The design of the algorithms and their ultimate perfomance depend upon these assumed models. In certain situations, collecting or processing all available measurements may be inefficient or prohibitively costly. A potential technique to cope with such(More)
Performing robust detection with resource limitations such as low-power requirements or limited communication bandwidth is becoming increasingly important in contexts involving distributed signal processing. One way to address these constraints consists of reducing the amount of data used by the detection algorithms. Intelligent data selection in detection(More)
This paper proposes several methods for noise reduction using deterministic side information about the desired signal as a constraint on the reconstruction. Two forms of side information are considered separately: short-time linear predictive coefficients, and short-time zero-phase impulse response coefficients. We derive general expressions for the ML, MAP(More)
The direct conversion (DC) architecture has been adopted for wireless base-station transceivers due to its cost and area efficiency. The shortcomings of DC transceivers need to be overcome to meet their high performance requirements. In-phase (I) and quadrature phase (Q) mismatch is one of most significant impairments. This paper presents an integrated,(More)
Orthogonal frequency division multiplexing (OFDM) communication systems encounter performance limitations due to time-varying channels common in wireless applications. The channel variations introduce intercarrier interference (ICI) in the received signal. To compensate, groups of adjacent OFDM carriers can be processed to cancel the interference. This(More)