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Most supervised classification approaches try to learn patterns in inter class variabilities using training samples. However in the real world, their discriminative power is often diminished, because data is seldom free from irregularities within a class. Apriori modeling of these intra class variabilities poses a challenge even in underwater sidescan sonar images that we consider for object classification...
This paper presents novel variations of group sparse regularization techniques. We expand upon the Sparse Group LASSO formulation to incorporate different learning techniques for better sparsity enforcement within a group and demonstrate the effectiveness of the algorithms for spectral denoising with applications to robust Automatic Speech Recognition (ASR). In particular, we show that with a strategic...
Enterprise database systems handle a variety of diverse query workloads that are of different importance to the business. For example, periodic reporting queries are usually mission critical whereas ad-hoc queries by analysts tend to be less crucial. It is desirable to enable database administrators to express (and modify) the importance of queries at a simple and intuitive level. The mechanism used...
This article presents the design of Internal Model Controller (IMC) based Fractional Order Two-Degrees-of-Freedom controller with the desired bandwidth specification and the robustness of the designed controller is briefly analyzed. For the conventional IMC based PID controller, One-Degree of Freedom is sufficient to meet the desired bandwidth specification for both Servo and regulatory performances...
This brief note considers the problem of stabilizing a first-order plant with dead-time using a fractional order proportional-integral-derivative (PIDα) controller. Fractional order controller provides good stability margin than the conventional PID controller. Here, the upper bound of Kd value is estimated first for all permissible value of α which is followed by computing the value of Kc. Further,...
Direct-conversion orthogonal frequency division multiplexing (OFDM) systems suffer from transmit and receive analog processing impairments such as in-phase/ quadrature (I/Q) imbalance causing intercarrier interference (ICI) between the sub-carriers. Another source of performance-limiting ICI, but with a different nature, in OFDM systems is Doppler spread due to mobility. Unlike previous work which...
A nonlinear estimation scheme for estimating a noisy alternating renewal process signal transmitted through an analog channel is considered. The derivation for a nonlinear smoother and results of computer simulation illustrating some potential applications are presented.
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