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The paper is about bounds for LDPC and LDGM codes under MAP. A new method for analyzing low density parity check (LDPC) codes and low density generator
matrix (LDGM) codes under bit maximum a posteriori probability (MAP) decoding is
introduced. T
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贝叶斯决策理论:根据先验概率、类分布密度函数以及后验概率这些量来实现分类决策的方法.最小错误率的贝叶斯决策:根据一个事物后验概率最大作为分类依据的决策
-Bayesian decision theory: According to the a priori probability, the class distribution as well as the posterior probability density function of these values in order to a
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"Analysis of Low Probability Of Intercept (LPI) radar signals using Wigner distribution" by Jen-Yu Gau
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合稀疏贝叶斯学习(SBL)和可压缩传感理论(CS),给出一种在噪声测量条件下重建可压缩图像的方法。该方法将cS理论中图像重建过程看作一个线性回归问题,而待重建的图像是该回归模型巾的未知权值参数;利用sBL方法对权值赋予确定的先验条件概率分布用以限制模型的复杂度,并引入超参数-
Hop sparse Bayesian learning ( SBL ) and compressible sensing theory ( CS ) , give a compressible image recon
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matlab program for Lognormal distribution is a kind of probability density functions for any random variable whose logarithm is normally distributed it can be expressed as below.-matlab program for Lognormal distribution is a kind of probability dens
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Probability distribution function of standard distribution codes for communication engineering students to understand the concept of statistical analysis.
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Probability distribution function codes for communication engineering students to understand the concept of statistical analysis.
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This documents has the standard normal table in PDF format that can help you in the probability distribution functions
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A code for addition of random variable with different probability distribution.hope it will be useful
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In this paper we uate the performance of cooperative spectrum sensing (CSS) where
each cognitive radio (CR) employs an improved energy detector (IED) with multiple antennas and
uses selection combining (SC) for detecting the primary user (PU) in
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