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Description: This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixing matrix are found by maximization of the marginal likelihood [1]. The sufficient statistics are estimated by either variational mean field theory with the linear response correction or by adaptive TAP mean field theory [2,3]. The mean field equations are solved by a belief propagation method [4] or sequential iteration. The computational complexity is N M^3, where N is the number of time samples and M the number of sources.
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Size: 7168 |
Author: 陈互 |
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Description: 极小边际熵等价于叉四阶累积量的平方和最小。通过迭代使四阶累积矩阵对角化，实现交叉四阶累积量的平方和的极小化。他是语音识别的重要预处理算法-minimum entropy equivalent to the marginal four bands fork cumulative amount of square and smallest. Through iterative four bands so that the cumulative matrix diagonalization, four bands to achieve cross-cumulative amount of square and the minimization. He is an important voice recognition algorithm pretreatment
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Size: 3072 |
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Description: 这是一个关于MATLAB的编程资料,很好看的哦,请大家都来参考参考吧!欢迎与我一起学习哦!-on MATLAB programming information, see the good, oh, please refer to reference all! I welcome and learning together!
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Size: 3358720 |
Author: 白鸽 |
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Description: 基于matlab实现OFDM系统
包括信号时域频域仿真 误码率分析-Matlab-based system, including the realization of OFDM signal frequency domain simulation BER analysis
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Size: 2048 |
Author: 范进 |
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Description: 最大似然（ML）准则和最大后验概率（MAP）准则Matlab仿真-Maximum Likelihood (ML) criteria and maximum a posteriori probability (MAP) criteria Matlab simulation
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Size: 1024 |
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Description: 此算法为基于最大似然方法的DOA估计 是区别于子空间类的DOA算法 但需要多维搜索 计算量较大-This algorithm is based on the maximum likelihood method of DOA estimation is different from the sub-space kind of DOA algorithm but calculating the volume of the larger multi-dimensional search
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Size: 1024 |
Author: 金江 |
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Description: 数据挖掘领域中的一种算法－ML-KNN是一种改进的最近邻算法-Data Mining in the area of an algorithm-ML-KNN is an improved nearest neighbor algorithm
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Size: 5120 |
Author: 李平 |
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Description: 自己学习的，总结的，不是很好，大部分是书上的，最起码还游泳吧-Their own learning, lessons, not very good, mostly books, at least also swimming
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Size: 1024 |
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Description: ML Estimation of frequency, phase, and amplitude of a sinusoid from discrete time samples
MLEsim.m -ML Estimation of frequency, phase, and amplitude of a sinusoid from discrete time samples MLEsim.m
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Size: 1024 |
Author: 老邢 |
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Description: ML Estimation of 2 PFM signals using EM and AM -ML Estimation of 2 PFM signals using EM and AM
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Size: 1024 |
Author: 老邢 |
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Description: OFDM的最大似然同步算法的MATLAB程序-Maximum Likelihood OFDM synchronization algorithm MATLAB program
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Size: 3072 |
Author: daxin.lv |
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Description: it is a simulation about ML synchronization algorithm in OFDM systems,you can slao see a function picture in its output,that s useful for a beginner
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Size: 6144 |
Author: 李明 |
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Description: ML estimation of time and frequency offset in OFDM systems
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Size: 204800 |
Author: roger |
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Description: ML的方法在ofdm中的应用，是最大似然在ofdm中的仿真-ML method ofdm application is the maximum likelihood in the simulation ofdm
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Size: 1024 |
Author: frank |
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Description: ML的方法在ofdm中的应用，是最大似然在ofdm中的仿真-ML method ofdm application is the maximum likelihood in the simulation ofdm
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Size: 1024 |
Author: frank |
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Description: 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 be a very good signal to noise ratio is estimated
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Size: 1024 |
Author: 贾小勇 |
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Description: 用matlab仿真图像超分辨率重建技术中的正则化处理方法-Simulation using matlab image super-resolution reconstruction of the regularization approach
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Size: 3359744 |
Author: sunk |
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Description: MATLAB 仿真MLSE，DFE，FFE均衡效率比较。-MATLAB simulation of MLSE, DFE, FFE balance efficiency comparisons.
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Size: 161792 |
Author: 魏明川 |
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Description: 层空时码有三种普遍的检测算法：最大似然（Maximum Likelihood ,ML）检测算法、迫零（zero forcing ,ZF）检测算法、最小均方误差（Minimum Mean Squared Error,MMSE）检测算法。-There are three layers in general space-time code detection algorithms: maximum likelihood (Maximum Likelihood, ML) detection algorithm, forcing zero (zero forcing, ZF) detection algorithm, minimum mean square error (Minimum Mean Squared Error, MMSE) detection algorithm.
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Size: 572416 |
Author: 张京雷 |
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Description: 包含一篇英文文章，基于ML定时同步和信道估计，内含此文章算法代码- including a English paper and its simulition code
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Size: 603136 |
Author: king |
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