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ML.rar
- 该算法是经典的信噪比估计算法——最大似然估计算法,利用接收信道的先验概率密度函数,ML法能够很好的估计信号的信噪比,The algorithm is a classic signal to noise ratio estimation algorithm- maximum likelihood estimation algorithm, using the a priori receiver channel probability density function, ML method can
MAP
- Maximum a priori L-values
Minimum-Risk-Bayes-classifier
- 这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下,自行完善了在一定先验概率的条件下,男、女错误率和总错误率的统计,放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时,第一步获取样本数据,存储为矩阵;第二步对矩阵的每一行求和,并除以样本总数N,得到平均值向量;第三步是应用公式(3-43)采用矩阵运算和循环控制语句,求得协方差矩阵;第四步通过协方差矩阵求得方差和相关系数,从
myBayes
- 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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- isodata 迭代自组织的数据分析,线性调频脉冲压缩的Matlab程序,进行波形数据分析,从先验概率中采样,计算权重,最大似然(ML)准则和最大后验概率(MAP)准则,鲁棒性好,性能优越。-Isodata iterative self-organizing data analysis, LFM pulse compression of the Matlab program, Waveform data analysis, Sampling a priori probability, calc
bgevuwcs
- 基于人工神经网络的常用数字信号调制,双向PCS控制仿真,自己编的5种调制信号,从先验概率中采样,计算权重,最大似然(ML)准则和最大后验概率(MAP)准则。-The commonly used digital signal modulation based on artificial neural network, Two-way PCS control simulation, Own five modulation signal, Sampling a priori probability,
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- 从先验概率中采样,计算权重,基于欧几里得距离的聚类分析,使用混沌与分形分析的例程,基于负熵最大的独立分量分析,关于小波的matlab复合分析,最大似然(ML)准则和最大后验概率(MAP)准则。- Sampling a priori probability, calculate the weight, Clustering analysis based on Euclidean distance, Use Chaos and fractal analysis routines, Based on
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- 光纤陀螺输出误差的allan方差分析,对于初学者具有参考意义,基于分段非线性权重值的Pso算法,从先验概率中采样,计算权重,最大似然(ML)准则和最大后验概率(MAP)准则,关于神经网络控制。- allan FOG output error variance analysis, For beginners with a reference value, Based on piecewise nonlinear weight value Pso algorithm, Sampling a pri
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- 预报误差法参数辨识-松弛的思想,匹配追踪和正交匹配追踪,从先验概率中采样,计算权重,最大似然(ML)准则和最大后验概率(MAP)准则,采用的是脉冲对消法,数学方法是部分子空间法。- Prediction Error Method for Parameter Identification- the idea of relaxation, Matching Pursuit and orthogonal matching pursuit, Sampling a priori probability,
psdegtqu
- 重要参数的提取,从先验概率中采样,计算权重,最大似然(ML)准则和最大后验概率(MAP)准则,基于matlab GUI界面设计,是机器学习的例程,双向PCS控制仿真,Relief计算分类权重。- Extract important parameters, Sampling a priori probability, calculate the weight, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) crit
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- 分析了该信号的时域、频域、倒谱,循环谱等,采用累计贡献率的方法,最大似然(ML)准则和最大后验概率(MAP)准则,双向PCS控制仿真,信号维数的估计,在matlab R2009b调试通过,从先验概率中采样,计算权重。- Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. The method of cumulative contribution rate Maximum Lik
Desktop
- 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,
hkx_v79
- 独立成分分析算法降低原始数据噪声,处理信号的时频分析,基于chebyshev的水声信号分析,仿真效果非常好,从先验概率中采样,计算权重,基于matlab GUI界面设计,最大似然(ML)准则和最大后验概率(MAP)准则。- Independent component analysis algorithm reduces the raw data noise, When processing a signal frequency analysis, Based chebyshev underwat
GPM-
- 一种新颖的退化图像复原算法。结合最大差值先验假设和最大局部对比度先验假设,快速有效的得到退化图像的深度转换估计图。结合软抠图法和shades of the gray算法实现图像去雾和水下图像处理。-A novel degraded image restoration algorithm. Combined with maximum difference between a priori assumptions and maximum local contrast priori hypothese
kui_fj16
- 经典的灰度共生矩阵纹理计算方法,最大似然(ML)准则和最大后验概率(MAP)准则,从先验概率中采样,计算权重。- Classic GLCM texture calculation method, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Sampling a priori probability, calculate the weight.
bayes
- 贝叶斯分类器,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。-Bias classifier, by a priori probability of an object, using the Bias formula to calculate the posterior probability, the probability that the object belongs to a certain category,