Some applications, where the last is true, are medical instrumentation, industrial processes, and telecommunications, among others. Some results of the new ...
Some applications where the last is true are: medical instrumen- tation, industrial processes, in telecommunications among others. Some results of new minimum- ...
Convergence of Minimum-Entropy Robust Estimators: Applications in DSP and. Instrumentation ... Some results of new minimum-entropy estimators for linear and ...
Some applications, where the last is true, are medical instrumentation, industrial processes, and telecommunications, among others. Some results of the new ...
Some applications where the last is true are: medical instrumentation, industrial processes, in telecommunications among others. Some results of new minimum- ...
This paper evaluates the performance combining space-time transmit diversity (STTD) and an efficient channel estimator (ECE) for wideband code division multiple ...
“Convergence of Minimum-Entropy Robust Estimators: Applications in DSP and Instrumentation” approaches the problem of robust estimators, an important issue ...
J. I. De la Rosa, †Convergence of minimum-entropy robust estimators: Applications in DSP and instrumentation,†in Proceedings of the XIV International ...
MAP entropy estimation: applications in robust image filtering
jeos.edpsciences.org › jeos20130813047
J. I. De la Rosa, “Convergence of minimum-entropy robust estimators: Applications in DSP and instrumentation,” in Proceedings of the XIV International ...
Robust minimum distance estimators ^θn θ ^ n are constructed for θ θ and the ... convergence is shown naturally to depend on an entropy function for Θ Θ .
Missing: DSP Instrumentation.