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The performance of time-interleaved analog-to-digital converters (TIADCs) is seriously restricted by the mismatch of the timing skew between ADC channels. The concept of dual-ADC based calibration is that setting two ADC to sample the same input signal synchronously, and the differences of the two outputs are used in calibration algorithm to estimate and compensate the errors in each ADC. Based on...
The feedforward neural networks trained with the online backpropagation (BP) learning algorithm have been widely studied in various areas of scientific research and engineering applications. In this paper we further study the convergence property of the online BP learning algorithm. Unlike the existing convergence analysis mainly focusing on the convergence of the gradient sequence of the error functions,...
This paper combines chaos operator with Immune Algorithm, and advances Chaos Immune Algorithm. In this algorithm, the ergodic property of chaos phenomenon was used to optimize the initial antibody population. Through the clone selection operator, mutation operator and recruited antibody, local optimums were avoided, so the global optimization was obtained. Through the algorithm performance analysis,...
As a nonparametric statistical method, the mean shift algorithm has recently attracted much attention in the computer vision community due to its efficiency in motion tracking and clustering analysis. Its convergence rate is, however, slow around the convergence point. One way to tackle this problem is to switch the search mechanism to Newtonpsilas method which has a quadratic order of convergence...
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