Description: 卷积码的最大后验概率译码算法的一个验证matlab算法，必有注释。-Convolutional codes of maximum a posteriori probability decoding algorithm matlab an authentication algorithm, there is the Notes. Platform: |
Size: 1024 |
Author:blackdeath |
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Description: 最优多用户检测，即最大后验概率的算法，主要是用于多用户检测中-Optimal multi-user detection, that is, maximum a posteriori probability algorithm, mainly used for multi-user detection Platform: |
Size: 1024 |
Author:yuekeqiang |
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Description: 这个Matlab程序实现了MAP算法-最大后验概率算法，同时包括对算法有：卷积编码、卷积解码，BPSK，AWGN。同时绘制它的误码率和SNR(信噪比)。-The Matlab program achieved a MAP algorithm- maximum a posteriori probability algorithm, at the same time including the algorithm are: convolutional coding, convolution decoding, BPSK, AWGN. At the same time rendering its error rate and SNR (signal to noise ratio). Platform: |
Size: 1024 |
Author:小单 |
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Description: MAPSAC指最大后验一致算法（Maximum a Posteriori sample consensus），是一种新的鲁棒性估计方法。由P.H.S Torr编写，供研究F阵鲁棒估计的人学习调用。-MAPSAC refers to maximum a posteriori agreement algorithm (Maximum a Posteriori sample consensus), is a new robust estimation method. By PHS Torr prepared for the study of robust estimation array F study call people. Platform: |
Size: 2048 |
Author:Zhongren Wang |
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Description: 超分辨率重建算法的硕士论文，主要介绍了超分辨率重建技术概述，及采用最大后验概率完成超分辨率重建的具体过程，有重要参考价值-Super-resolution reconstruction algorithm for master' s thesis, introduced an overview of super-resolution reconstruction, and the use of maximum a posteriori probability of the completion of super-resolution reconstruction of the specific process reference value Platform: |
Size: 2036736 |
Author:路月 |
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Description: 基于MAP的红外图像超分辨率技术研究的硕士论文，文中主要采用最大后验概率完成超分辨率算法的图像重建。-MAP-based infrared image super-resolution technology research master' s thesis, the main use of maximum a posteriori probability of the completion of super-resolution image reconstruction algorithm. Platform: |
Size: 1898496 |
Author:路月 |
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Description: 这个Matlab程序实现了MAP算法-最大后验概率算法，同时包括对算法有：卷积编码、卷积解码，BPSK，AWGN。同时绘制它的误码率和SNR(信噪比)。
-The Matlab program achieved a MAP algorithm- maximum a posteriori probability algorithm, also include the algorithm are: convolutional coding, convolutional decoding, BPSK, AWGN. At the same time rendering its bit error rate and SNR (signal to noise ratio). Platform: |
Size: 1024 |
Author:李娇 |
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Description: 最大后验概率算法MAP，包括编码解码等一系列应用-Maximum a posteriori algorithm for MAP, including the encoding and decoding a series of applications Platform: |
Size: 1024 |
Author:李珺 |
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Description: In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.-In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.
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Size: 2048 |
Author:loossii |
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Description: 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. Platform: |
Size: 19456 |
Author:包裹 |
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Description: 解最优化问题的算法，用于解决最大后验概率问题，主要应用于目标跟踪中。-Hungarian algorithm for solving maximum a posteriori probability, is mainly used in target tracking. Platform: |
Size: 2048 |
Author:白玮 |
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Description: 针对视频序列的超分辨率重建,提出了一种动态自适应滤波方法. 在最大后验概率估计和加权最小二乘
的基础上,给出视频序列超分辨率重建数学模型 深入研究了运动补偿矩阵和权值矩阵的构成和性质 详细推导了
自适应滤波器的递推公式 分析了算法的存储与计算复杂度. 仿真实验表明该算法的重建结果相当有效,相比双三
次插值和无运动补偿的单帧迭代重建,可以获得一定的PSNR 增益 与Elad 滤波方法相比,具有更小的计算量和
更强的自适应性和鲁棒性.-Super-resolution for the reconstruction of video sequence, a dynamic adaptive filter. The maximum a posteriori probability estimation and weighted least squares, based on the super-resolution reconstruction of video sequence is given mathematical model in-depth study of the motion compensation matrix and weighted matrix composition and properties detailed derivation of the adaptive filter recurrence formula analysis of algorithms for the storage and computational complexity. Simulation results show that reconstruction of the algorithm very effective, compared to bicubic interpolation and non- Iterative reconstruction of single-frame motion compensation, allowed a certain PSNR gain and Elad filtering method, the calculation has a smaller volume and greater adaptability and robustness. Platform: |
Size: 269312 |
Author:redxuech |
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Description: 该算法是关于图像清晰化的算法，里边包含了光流法，块匹配，凸集投影和最大后验概率等，是很好的参考东西。-The algorithm is an algorithm for image clarity, inside includes optical flow, block matching, convex set projection and maximum a posteriori probability, is a good reference for things. Platform: |
Size: 3850240 |
Author:王美丽 |
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Description: 用于SAR图像分割的最大后验概率与各向异性扩散相结合的算法-For SAR image segmentation with the maximum a posteriori probability algorithm for the combination of anisotropic diffusion Platform: |
Size: 8192 |
Author:朱超 |
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Description: 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. Platform: |
Size: 2690048 |
Author:北海 |
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Description: Traditional single particle reconstruction methods use either the Fourier or the delta function basis to represent the particle density map. We propose a more flexible algorithm that adaptively chooses the basis based on the data. Because the basis adapts to the data, the reconstruction resolution and signal-to-noise ratio (SNR) is improved compared to a reconstruction with a fixed basis. Moreover, the algorithm automatically masks the particle, thereby separating it from the background. This eliminates the need for ad-hoc filtering or masking in the refinement loop. The algorithm is formulated in a Bayesian maximum-a-posteriori framework and uses an efficient optimization algorithm for the maximization. Evaluations using simulated and actual cryogenic electron microscopy data show resolution and SNR improvements as well as the effective masking of particle from background Platform: |
Size: 7751680 |
Author:无界 |
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Description: 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 statistical calculation, the expectation maximization (EM) algorithm in probability (probabilistic) maximum likelihood estimation and maximum a posteriori estimation algorithm for parameters in the model, the probability model depends on unobservable latent variable (Latent Variable). Maximum expectations are often used in machine learning and computer vision for data clustering (Data, Clustering) fields.) Platform: |
Size: 1024 |
Author:橡树
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