This paper presents a robust blind channel equalization technique in impulse noise environments. To suppress impulse noise effectively, the combination of order statistics (OS) and adaptive thresholding is considered. We implement nonlinear adaptation with the OS operation based on the Sato error criterion. The adaptive threshold is calculated using the variance of the input signal. Computer si...

In this paper, the problem of time optimal feedrate generation under confined feedrate, axis accelerations, and axis tracking errors is considered. The main contribution is to reduce the tracking error constraint to constraints about the axis velocities and accelerations, when the tracking error satisfies a second order linear ordinary differential equation. Based on this simplification on the ...

In this paper, we propose a simplified pollution adaptive mesh generation algorithm using singular elements. The algorithm based on the element pollution error indicator concentrate on boundary nodes. The automatic mesh generation method is fo llowed by either a node-relocation or a node-insertion method. The boundary node relocation phase is introduced to reduce pollution error estimates witho...

This paper is concerned with the application of small rating Capacitive Energy Storage units for the improvement of Automatic Generation Control of a multiunit multiarea power system. Generation Rate Constraints are also considered in the investigations. Integral Squared Error technique is used to obtain the optimal integral gain settings by minimizing a quadratic performance index. Simulation ...

This paper describes a hidden Markov model (HMM)-based speech synthesis system developed for the Blizzard Challenge 2010. This system employs STRAIGHT vocoding, minimum generation error (MGE) training, minimum generation error linear regression (MGELR) based model adaptation, the Bayesian speech synthesis framework, and the parameter generation algorithm considering global variance. The real-ti...

A tone generation method by maximizing the joint likelihood of syllabic HMMs is proposed to improve the Mandarin speech synthesis. F0 sequence is generated by jointly maximizing the likelihood of the state-level F0 model and syllable-level tone model under the constraint of mean F0 of the adjacent units. The optimal weight of the tone component is searched in terms of the parameter generation e...

Vector Quantization is lossy data compression technique and has various applications. Key to Vector Quantization is good codebook. Once the codebook size is fixed then for any codebook generation algorithm the MSE reaches a value beyond which it cannot be reduced unless the codebook size is increased. In this paper we are proposing two-level codebook generation algorithm which reduces mean squa...

The kinetics of forming a proper Watson-Crick base pair as well incorporating bases opposite furan, an abasic site analog, have been well characterized for the B Family replicative DNA polymerase from bacteriophage T4. Structural studies of these reactions, however, have only been performed with the homologous enzyme from bacteriophage RB69. In this work, the homologous enzymes from RB69 and T4...

With modern hardware heading for smaller feature sizes and lower operating voltages, failure rates are expected to increase. Instead of adding hardware to protect against failures, which is expensive and inflexible, one can implement error detection in software. The focus of the present work is the AN encoding scheme. Improvements to code generation are introduced that enable a high level of fa...

This paper presents an HMM-driven hybrid speech synthesis approach in which unit selection concatenative synthesis is used to improve the quality of the statistical system using a Local Minimum Generation Error (LMGE) during the synthesis stage. The idea behind this approach is to combine the robustness due to HMMs with the naturalness of concatenated units. Unlike the conventional hybrid appro...