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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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: 用递推的极大似然法对系统辨识(递推的极大似然法辨识程序)希望通过站长审核-recursive use of the maximum likelihood method of system identification (recursive maximum likelihood method identification procedures) through head of audit Platform: |
Size: 1024 |
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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: 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: 用递推的极大似然法对系统辨识，对具有随机噪声的二阶系统的模型辨识-Using the recursive maximum likelihood method of system identification, random noise with the second-order system model identification Platform: |
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Author:david |
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Description: OFDM系统同步中的定时估计算法，主要使用了极大似然估计法。此程序实现极大似然估计法定时的程序。-OFDM system, synchronization of timing estimation algorithm, the main use of maximum likelihood estimation method. Realize this procedure maximum likelihood estimation when the statutory procedures. Platform: |
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Author:张彩 |
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Description: 关于最大似然重建方法的实现，可用于tomography reconstruction-This is the code for maximum likelihood expectation maximum reconstruction method which is frequently applied in tomography reconstruction, such as CT and PET Platform: |
Size: 1024 |
Author:Xiubin Dai |
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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 Platform: |
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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 Platform: |
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 Platform: |
Size: 1024 |
Author:贾小勇 |
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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: 当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。- This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood Estimation for Ill-Posed Problems", "Tikhonov Regularized Poisson Likelihood Estimation: Theoretical Justification and a Computational Method", "An Efficient Computational Method for Total Variation with Poisson Negative-Log Likelihood", "An Analysis of Regularization by Diffusion for Ill-Posed Poisson Likelihood Estimation," "An Iterative Method for Edge-Preserving MAP Estimation when Data-Noise is Poisson", and finally, "Regularization Parameter Selection Methods for Ill-Posed Poisson Maximum Likelihood Estimation". See my publications page for more details. The main algorithm is for nonnegatively constrained, regularized Poisson likelihood estimation. At this point you can choose Tikhonov, total variation regularization, and diffusion regularization. A number of other methods are also implemented. Regularizatio Platform: |
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Author:sun |
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Description: 1）最大似然方法联合实现符号定时同步和载波同步仿真
2）泊松分布
3）贝叶斯估计
4）RANSAC方法-1) The maximum likelihood method of the joint realization of Symbol Timing and Carrier Synchronization in simulation 2) Poisson distribution 3) Bayesian estimation 4) RANSAC method Platform: |
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Author:平凡 |
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Description: 威布尔模型的参数估计方法_极大似然法,对这方面研究人有帮助-Weibull model parameters estimation method _ maximum likelihood method, studies were helpful in this regard Platform: |
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Description: 《数字通信》(第4版)是数字通信领域的一本经典教材,通过对概率论及随机过程的复习,详细介绍了数字和模拟信源编码、数字调制信号和窄带信号与系统的特征、加性高斯白噪声中数字通信的调制和最佳调制与检测方法、基于最大似然准则的载波相位估计和定时同步的方法、不同信道模型的信道容量及随机编码、带限信道的信号设计、受到符号间干扰恶化信号的解调与检测问题、自适应信道均衡、多信道与多载波调制、扩展频谱信号和系统、衰落信道上的数字通信。 -" Digital communication" (4th edition) is a digital communications of a classic textbook in the field, through the review process, the probability of randomly addressed, details of the digital and analog source coding, digital modulation signal and the narrowband signal and system characteristics, additive white Gaussian noise in digital communication modulation and the best modulation and detection methods, based on maximum likelihood criterion of carrier phase estimation and time synchronization method, different channel model of channel capacity and random coding, band-limited channel signal design by ISI worse signal demodulation and detection, adaptive channel equalization, multi-channel and multi-carrier modulation, spread spectrum signals and systems, fading channel digital communications. Platform: |
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Author:ng |
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Description: 该算法包含极大似然估计的梯度算法和快速ica算法，已经调试成功过，调试时注意所给信号x是行向量还是列向量-The algorithm contains the maximum likelihood estimation of the gradient method and fast ica algorithm, has been debugged, debugging attention given signal x is a row vector or column vector Platform: |
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Author:高丽 |
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Search - Maximum likelihood method