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9下载：
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
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word文档对球形译码的理论原理和仿真结果进行了分析
1.sphereandML是主程序，性能接近最大似然ML检测，调用了spheredecode和spheredecodeinf两个子程序；
2.main_spheretoML是主程序，性能达到最大似然NL检测，调用了spheredecodetoML和spheredecodeinftoML两个子程序。-word document on the theory of spherical decoding theory and simulati
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最大似然译码的程序，用MATLAB编写的，很实用的例子-Maximum likelihood decoding process, using MATLAB written a very practical example of
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主要是介绍极大似然估计并用matlab实现极大似然估计-Is to introduce the maximum likelihood estimation and use matlab to achieve maximum likelihood estimation
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经典的最大似然法分类法的C语言实现，有助于深入了解遥感分类原理。-This program implements the maximum likelihood classification procedure. ouput:1.classified image, and 2. probability file.
Note: For constructong variance-covariance matrix must be generic binary file.
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最大似然估计法的matlab实现，及Crammer-lor下界的确定-Maximum likelihood estimation of the matlab implementation, and Crammer-lor to determine the lower bound
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STBC_ofdm的最大似然信道估计算法实现（ML）-STBC_ofdm maximum likelihood channel estimation algorithm (ML)
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最大似然和最大后验概率算法描述，比较性能，仿真分析-Maximum likelihood and maximum a posteriori probability algorithm descr iption, comparative performance, simulation analysis
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This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowled
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值得深刻阅读的基于CP的OFDM同步程序
这是一个非常好的用于OFDM的基于CP的 最大似然符号定时同步和载波同步的MATLAB仿真程序，经本人深入阅读吸收经典文献，反复编程调试而提炼而成，代码精炼有序，绝对没有错误，由此程序仿真得到的同步曲线与经典文献完全一致。同仁们阅读此程序一定受益匪浅！ 这里不吝成果，特上载与诸位网友共享。也欢迎同仁们提供更多的优秀程序。 由于文献要求采用N＝1024个子载波的OFDM，运行此程序需2分钟－3分钟的时间。
-Worthy of profound r
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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.
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Implements Maximum likelihood estimation of beta and other parameters for model of stock portfolio vs. index using kalman filter
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在码分多址系统中,求解多用户检测问题是重要环节,介绍了多用户检测问题的应用背景和发展
现状,重点综述基于半定规划模型寻求多用户检测问题次优解的几种重要方法,包括随机扰动法、
坐标下降法、半定规划的割平面法和二次规划的分枝定界法等。结合数值实验,评析比较了这些
方法的优缺点-Quasi-Maximum-Likelihood Multiuser Detection
Using Semi-Definite Relaxation With Application
to Synchro
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2X2 MIMO系统使用ML（最大似然）接受。（验证可用）-2X2 MIMO system using the ML (maximum likelihood) to accept. (Verification can be used)
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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
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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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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 E
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echniques for multi-user detection in OFDM / MC-CDMA can be classified as linear or non-linear techniques. A number of these techniques have evolved from previous research for CDMA–based systems. The overlaying of OFDM with CDMA permits grouping of t
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The results for 2×2 MIMO with Maximum Likelihood (ML) equalization helped us to achieve a performance closely matching the 1 transmit 2 receive antenna Maximal Ratio Combining (MRC) case.
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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
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