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通过M atlab 模拟了随机产生的一定概率分布的信号序列, 叠加高斯噪声后利用最大后验概率(MAP)检
测到的误码率, 做出BER~ SNR曲线, 并与理论计算得到的曲线进行比较, 两者吻合.-M atlab simulated by a certain probability distribution of random signal sequence, use of superposition of Gaussian noise is the maximum a posteriori
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超分辨率重构,介绍超分辨率重构最大后验概率算法。-Super-resolution reconstruction, introduced the super-resolution reconstruction of maximum a posteriori probability algorithm.
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超分辨率重构,介绍超分辨率重构最大后验概率算法,以及对超分辨率重构技术进行综述。-Super-resolution reconstruction, introduced the super-resolution reconstruction of maximum a posteriori probability algorithm.
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超分辨率重构,介绍超分辨率重构最大后验概率算法,列举了最大后验概率算法中不同的方法。-Super-resolution reconstruction, introduced the super-resolution reconstruction of maximum a posteriori probability algorithm.
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提出一种用阴影流和三维马尔科夫随机场后验概率最大化方法运动阴影消除算法。-Present a novel approach of moving shadow elimination based on Shadow Flow and maximum a posteriori probability of 3D Markov Random Field(3D MAP-MRF).
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基于正则化项的最大后验概率重建的一段程序,简单易懂-Based on regularization item maximum a posteriori probability reconstruction of a program, simple and understandable
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贝叶斯分类器计算的后验概率值,找到最大的后验概率-Bayesian classifier posteriori probability value, find the maximum a posteriori probability
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介绍最大后验概率估计的文章,讲解最大后验概率估计MAP的原理-Introduce the maximum a posteriori probability estimates article to explain the maximum a posteriori estimate of MAP principle
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在统计计算中,最大期望(EM)算法是在概率(probabilistic)模型中寻找参数最大似然估计或者最大后验估计的算法,其中概率模型依赖于无法观测的隐藏变量(Latent Variable)。最大期望经常用在机器学习和计算机视觉的数据聚类(Data Clustering)领域。
-In the statistical calculations, the maximum expected (EM) algorithm parameter maximum likelihood estimate
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贝叶斯分类器的分类原理是通过某对象的先验概率,利用贝叶斯公式计算出其后验概率,即该对象属于某一类的概率,选择具有最大后验概率的类作为该对象所属的类-Bayesian classifier principle a priori probability of the object using the Bayesian formula to calculate the subsequent posterior probability that the object belongs to a certa
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Finally, probability analysis, based on the chosen database, is performed and
judgment whether the person is recognized is pronounced. Two different modeling
techniques can be suggested for purposes of person identification or verification. The
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一种基于马尔科夫随机场的图像分割matlab源码,包含ICM迭代条件模式求解最大后验概率算法,已通过测试。-Markov random field based image segmentation matlab source code, including the ICM iteration conditions for solving the maximum a posteriori probability model algorithm has been tested.
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最大后验概率,MAP,基于数据统计于估计,数据-The maximum a posteriori probability, MAP, based on statistics on estimated data
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Turbo码的最大后验概率译码,输出误码率与信噪比关系-Maximum a posteriori probability decoding of Turbo code output bit error rate and signal to noise ratio
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最大后验概率译码算法研究,算法原理及拓展算法-Maximum a posteriori probability decoding algorithm research, the algorithm principle and algorithm
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计算两类样本的最大后验概率,得到两类样本的相似性得分。-Maximum a posteriori probability calculation
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毕业设计有用,包括回归分析和概率统计,一些自适应信号处理的算法,最大似然(ML)准则和最大后验概率(MAP)准则,采用波束成形技术的BER计算,可以得到很精确的幅值、频率、相位估计。- Graduation useful Including regression analysis and probability and statistics, Some adaptive signal processing algorithms, Maximum Likelihood (ML) criteria
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贝叶斯分类器的分类原理是通过某对象的先验概率,利用贝叶斯公式计算出其后验概率,即该对象属于某一类的概率,选择具有最大后验概率的类作为该对象所属的类-Bayesian classifier classification principle is a priori probability of an object by using the Bayesian formula to calculate the probability of subsequent experience, that is,
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最大后验概率信号检测算法,现代信号处理相关-Maximum a posteriori probability signal detection algorithm, modern Signal Processing
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In Bayesian statistics, a maximum a posteriori probability (MAP) estimate is a mode of the posterior distribution.
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