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: |
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Author:blackdeath |
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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: 连续相位调制CPM的最大后验概率MAP解调-Continuous phase modulation CPM maximum a posteriori probability of the MAP demodulator Platform: |
Size: 2048 |
Author:刘贤 |
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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: |
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Author:路月 |
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Description: 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. The method is based on a rigorous approach to spin glasses developed by Francesco
Guerra. It allows to construct lower bounds on the entropy of the transmitted message conditional
to the received one. Based on heuristic statistical mechanics calculations, we conjecture
such bounds to be tight. The result holds for standard irregular ensembles when used over
binary input output symmetric channels.
The method is first developed for Tanner graph ensembles with Poisson left degree distribution.
It is then generalized to ‘multi-Poisson’ graphs, and, by a completion procedure, to
arbitrary degree distribution. Platform: |
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Author:mike zhou |
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Description: ：为了使应力变异在顽健语音识别系统中能够达到较好的识别效果，研究了基于隐马
尔可夫模型(HMM)的自适应技术，提出了将最大后验概率(MAP)和最大似然回归方法(MLLR)用
于应力变异语音的自适应中。实验结果表明，与基本系统相比，两种方法均有效地提高系统识别
率。以SD为初始模型的最大后验概率方法在150个训练样本时识别效果最好，可以达到90．4％ 。-: In order to stress variation in the robustness of speech recognition system can achieve better recognition results, based on Hidden Markov Model (HMM) of adaptive technology, put forward a maximum a posteriori probability (MAP) and Maximum Likelihood regression (MLLR) for the stress of the adaptive variation in voice. The experimental results show that compared with the basic system, both methods are effective to improve the system recognition rate. SD as the initial model to the maximum a posteriori probability method in 150 training samples to identify the best, can reach 90.4 . Platform: |
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Author:尹江波 |
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Description: 在统计学中，最大后验（英文为Maximum a posteriori，缩写为MAP）估计方法根据经验数据获得对难以观察的量的点估计。它与最大似然估计中的 Fisher 方法有密切关系，但是它使用了一个增大的优化目标，这种方法将被估计量的先验分布融合到其中。所以最大后验估计可以看作是规则化（regularization）的最大似然估计。
-In statistics, the maximum a posteriori (English as a Maximum a posteriori, abbreviated as MAP) estimation method according to empirical data is difficult to obtain right amount of observation point estimate. It is with the maximum likelihood estimation of the Fisher method is closely related to, but it uses a larger optimization goals, this approach would be the estimated amount of integration of prior distribution to it. Therefore, maximum a posteriori estimates can be regarded as regularization (regularization) of the maximum likelihood estimate. Platform: |
Size: 1024 |
Author:youxia |
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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: 通信仿真，二元位信号通过加性高斯白噪声的信道，经过匹配滤波，最大后验概率和最大似然概率检测比较-Communication simulation, binary bits signals through the additive gaussian white noise, through the channel is matched filtering, maximum a posteriori probability and the maximum likelihood detection probability Platform: |
Size: 2048 |
Author:王峰 |
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Description: 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 (MAP) detection to the error rate, making BER ~ SNR curves obtained with the theoretical curve of the combined fit. Platform: |
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Author:qwq |
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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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Author:loossii |
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Description: 基于期望最大化(EM)的最大后验信道估计算法(MAP)在高信噪比(SNR)下将很难获得较低的估计误差,并且,对于导频辅助的MIMO-OFDM系统,OFDM符号的数据传输效率随着发送天线的增加而明显下降.为改善这两种缺陷,引入一种等效的信号模型来改善高SNR下的估计性能 在相邻多个OFDM符号内使用相移正交导频序列和联合估计来提高系统的数据传输效率和估计性能 根据角域内信道间的独立性来减小噪声对估计的影响.通过仿真实验可知,所提算法具有更小的估计误差和更高的数据传输效率.-Maximum a posteriori(MAP) channel estimation algorithm usually uses expectation maximum(EM) algorithm to decrease the high computation.However,this kind of operation has a difficulty in obtaining ideal estimation performance at high signal to noise ratio(SNR) because of the convergent feature of EM algorithm.In addition,for pilot-based multiple-input multiple-output with orthogonal frequency division multiplexing(MIMO-OFDM) systems,data transmission efficiency of OFDM symbol will be reduced with the increas... Platform: |
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Author:王睿 |
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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,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. Platform: |
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Author:北海 |
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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: |
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Author:北海 |
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Description: VS2010及IT++4.2下实现PCCC在AWGN信道上的仿真-This program simulates Parallel Concatenated Convolutional Codes (PCCCs) of coding rate 1/3 using a turbo decoder with two SISO RSC modules.
Reference: S. Benedetto, D. Divsalar, G. Motorsi and F. Pollara, "A Soft-Input Soft-Output Maximum A posteriori (MAP) Module to Decode Parallel and Serial Concatenated Codes", TDA Progress Report, nov. 1996 Platform: |
Size: 2048 |
Author:raven |
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Description: 实现图像的超分辨率算法，采用最大后验（MAP）算法，实现效果不错。-Image super-resolution algorithm using maximum a posteriori (MAP) algorithm, to achieve good results. Platform: |
Size: 107520 |
Author:程涛 |
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Description: 采用最大后验（MAP）算法来实现图像的超分辨率算法-The super-resolution algorithm using the maximum a posteriori (MAP) algorithm to achieve image Platform: |
Size: 107520 |
Author:本 |
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Search - Maximum A Posteriori MAP