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Adaptive Blind Equalization Using Bottleneck Networks Implemented by Evolvable Hardware.Using a genetic
algorithm, the network on the hardware is trained to
minimize an energy function based on the maximum likelihood
estimation. Simulation resu
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We have investigated the performance of the sphere decoding algorithm.
As it has shown in the computer simulations, the decoder based on the
sphere decoding algorithm has almost the same performance of a maximum
likelihood decoder with much low
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matlab code for maximum likelihood estimation of noise power
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matlab code for maximum likelihood estimation of signal power
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matlab code for maximum likelihood estimation of signal power and noise power
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efficient matlab code for maximum likelihood estimation of signal power and noise power
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maximum likelihood estimation for signal and noise power
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We consider the source localization problem using
time-difference-of-arrival (TDOA) measurements in sensor networks.
The maximum likelihood (ML) estimation of the source
location can be cast as a nonlinear/nonconvex optimization
problem,
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适用于空间计量的各种模型，包括SVAR SEM SMD 等，以及各种检验，如LM Walds等-least-squares, simultaneous systems (2SLS,3SLS, SUR)
limited dependent variable (logit, probit, tobit) and Bayesian variants
time-series (VAR, BVAR, ECM) estimation and accompanying forecasting func
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最大似然（ML）准则和最大后验概率（MAP）准则，music高阶谱分析算法，现代信号处理中谱估计在matlab中的使用。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, music higher order spectral analysis algorithm, Modern signal processing used in the spectral estimation in matla
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