Description: ICA算法The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.-ICA algorithm:The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction. Platform: |
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Author:陈互 |
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Description: 功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。-Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe Platform: |
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Author: |
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Description: 卷积码的译码方法主要有两种：代数译码和概率译码。代数译码是根据卷积码的本身编码结构进行译码，译码时不考虑信道的统计特性。概率译码在计算时要考虑信道的统计特性。典型的算法如：最大似然译码、Viterbi译码、-Convolutional Decoding by two major ways : Decoding algebra, probability and decoding. Decoding is based on algebraic Convolutional Codes itself coding structure decoding, decoding not consider access to the statistical characteristics. Decoding in the calculation of the probability to consider when Channel statistical characteristics. Typical algorithms such as : Maximum Likelihood decoding, Viterbi decoding, Platform: |
Size: 8192 |
Author:姚中华 |
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Description: 用matlab仿真的递推极大似然法辨识程序，可用来进行系统辨识，很好用-simulation using Matlab Recursive maximum likelihood method identification procedures, which can be used for system identification, good use Platform: |
Size: 1024 |
Author:孙鹏飞 |
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Description: Tdscdma系统中的载频估计程序，利用导频段，极大似然的估计算法，在MATLAB中的实现程序-Tdscdma system of carrier frequency estimation procedures, the use of derivative band, the maximum likelihood estimation algorithm, MATLAB in the realization process Platform: |
Size: 2048 |
Author:青青 |
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Description: 这是一个无线通信空时码仿真程序，编码数据形成流进行同步传输，采用的是最大似然译码。-This is a wireless communications space-time simulation codes, encoding data flow synchronization formed transmission, using the maximum- likelihood decoding. Platform: |
Size: 2048 |
Author:ltj1974 |
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Description: 运用matlab来进行最大似然方法实现符号定时同步和载波同步仿真。-use Matlab to the maximum likelihood method Symbol Timing and Carrier Synchronization simulation. Platform: |
Size: 1024 |
Author:岳莹昭 |
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Description: 最大似然法德matlab仿真程序，用在ofdm系统中很好！！！与大家一起享用-Maximum Likelihood France and Germany Matlab simulation program used in ofdm system good! ! ! Together with everyone to enjoy! Platform: |
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Author: |
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Description: 提供实现了（2，1，7）卷积码的维特比译码的源程序，采用了最大似然算法，介绍了软判决维特比译码算法过程的三个步骤：初始化、度量更新和回溯译码。-for achieving a (2,1,7) Convolutional Codes Viterbi decoding of the source, using the maximum- likelihood algorithm, introduced a soft-decision Viterbi decoding algorithm of the three steps : initialization, Metric update and backtracking decoding. Platform: |
Size: 1024 |
Author:王雪松 |
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Description: 对线性均衡、判决反馈均衡和最大似然序列估计均衡等三种方法的实现和误码率的分析。-Of linear balanced, decision feedback equalizer and maximum likelihood sequence estimation of three methods such as balanced realization and BER analysis. Platform: |
Size: 101376 |
Author:冯巍 |
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Description: 这是一个基于matlab且运用极大似然估计法对伽马分布进行拟合-This is a matlab-based and the use of maximum likelihood estimation method for gamma distribution fitting Platform: |
Size: 1024 |
Author:杨芮 |
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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 Platform: |
Size: 1024 |
Author:金江 |
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Description: Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. -Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. Platform: |
Size: 134144 |
Author:zhang |
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Description: A general decision rule for stochastic blind
maximum-likelihood OSTBC detection is derived.-A general decision rule for stochastic blindmaximum-likelihood OSTBC detection is derived. Platform: |
Size: 342016 |
Author: |
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Search - maximum likelihood