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ldpcber
- This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collecti
mie_v71
- 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.
dq871
- Calculating a target and ocean echo power spectral density, LM386 audio signal amplification, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
3521
- Least-squares regression analysis algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Based on the time delay estimation of power spectrum.
yei_wt33
- 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.
vm522
- Clustering analysis based on Euclidean distance, Course designed to prepare the matlab program code, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
pgvgf
- 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.
damds
- 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.
pi780
- 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.