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In this paper, we propose a novel multi-code turbo decoder
architecture for 4G wireless systems. To support various
4G standards, a configurable multi-mode MAP (maximum
a posteriori) decoder is designed for both binary
and duo-binary turbo co
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Of spherical harmonics graphic simulation, Import data files as input parameters matlab program is running, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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Calculating a target and ocean echo power spectral density, LM386 audio signal amplification, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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Least-squares regression analysis algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Based on the time delay estimation of power spectrum.
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Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, For feature extraction, signal de-noising, The commonly used digital signal modulation based on artificial neural network.
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Stepwise linear regression, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Consider shadow rain attenuation and multipath effect.
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Clustering analysis based on Euclidean distance, Course designed to prepare the matlab program code, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Calculation of the Euclidean distance between the two matrices, Multi-target tracking particle filter.
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Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, It contains CV, CA, Single, current, constant turn rate, turning model, Some adaptive signal processing algorithms.
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Course designed to prepare the matlab program code, Matching Pursuit and orthogonal matching pursuit, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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Code, there are very complete notes and explanations IDW inverse distance weighting method, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Consider shadow rain attenuation and multipath effects Automatic identification in the matlab environment the size of the connected area.
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Using a large number of finite element method to solve partial differential equations, To achieve the recognition of 10 digital sound, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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Including Deng's correlation, absolute correlation, correlation of slope, improved absolute correlation, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, BP neural network function fitting and pattern recognition.
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PSS primary synchronization signal in the time domain simulation related, MIMO OFDM matlab simulation, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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matlab prepared cellular automata, Random ppm modulated analog signal under Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Do Vision Measurement PC code, Undergraduate complete set requirements refer to the standard test models.
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Space target recognition algorithm using PM, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, ECG data and includes source code written in MATLAB.
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Based on matlab GUI interface design, There are detailed notes, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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Using high-order cumulants of MPSK signal modulation recognition, Has been successful debugging. M contains files can be directly run, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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