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信号空间分集ssd的误码率分析，m语言实现，最大似然译码。-Ssd signal space diversity analysis of bit error rate, m language, maximum-likelihood decoding.
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Phase noise resulting in Common Phase Error
(CPE) and Inter-Carrier Interference (ICI) is a critical challenge
to the implementation of OFDM systems. Modeling phase noise
as a stationary Gaussian random process with the specified
power spectr
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Phase noise resulting in Common Phase Error
(CPE) and Inter-Carrier Interference (ICI) is a critical challenge
to the implementation of OFDM systems. Modeling phase noise
as a stationary Gaussian random process with the specified
power spectr
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v(k)随机信号，输入信号为幅值为M序列程序.利用极大似然递推进行参数辨识，文件的*m文件，可以直接运行，能直接辨识出参数，绘制误差曲线等，程序中带有详细注释。-v (k) random signal, the input signal amplitude for the M series for the process. the use of recursive maximum likelihood parameter identification, documentation* m file
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This paper proposes a new method of extracting and tracking
a nonrigid object moving while allowing camera movement. For object
extraction we first detect an object using watershed segmentation
technique and then extract its contour points by a
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EM 算法是 Dempster，Laind，Rubin 于 1977 年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE 估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据，截尾数据，带有讨厌数据等所谓的不完全数据(incomplete data)。需要weka的算法包支持。-EM algorithm is Dempster, Laind, Rubin in 1977 for the parameters proposed by maximum
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递推的极大似然估计算法求解系统辨识问题，输入为M序列，噪声影响可调-The recursive maximum likelihood estimation algorithm for system identification problem
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极大似然法，估算已知结点的位置，求出误差-Maximum likelihood method to estimate the location of known nodes, find the error
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通过MATLAB软件；通过仿真得出性能曲线；从而比较bpsk的性能-The bit-error rate (BER) of binary phase-shift keying
in Rayleigh fading, using the Alamouti transmission scheme and
receiver selection diversity in the presence of channel-estimation
error, is studied. Closed-
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极大似然辨识程序以及离散模型的阶检验，用于系统辨识-Maximum likelihood identification procedures and the order of the discrete model tests for system identification
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递推极大似然法求解系统辨识参数（matlab）-Maximum Likelihood Estimation
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利用极大似然估计算法实现瞬时频率估计，主要采用c++语言实现-with the maximum likelihood estimation ，get instant frequence，it over with C++ code
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getid maximum likelihood estimation method for gamma distribution fitting
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基于最大似然估计的独立分量分析算法，包括随机梯度算法，相对梯度算法，快速不动点算法3个程序-Based on maximum likelihood estimation of independent component analysis algorithms, including stochastic gradient algorithm, the relative gradient algorithm, fast fixed-point algorithm for three programs
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function [separated_data]=coherent_ML_receiver(received_signal,H,code_name,rate,num_code,modulator)
HELP: coherent_ML_receiver
Perform Maximum Likelihood Space Time Decoding. The function can be
computionnaly expensive if the modul
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The main goal of this work is to provide a unified theory of QSTBCs for four transmit antennas and
one (or more) receive antennas. The thesis consists of two main parts: In the first part we analyze the
QSTBCs transmission without any channel kno
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this file computes the maximum likelihood estimates and associated standard errors
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极大似然估计是概率论中的重要思想，阅读此文献可以帮助我们了解极大似然估计的含义-Maximum likelihood estimation is important in probability theory thinking, reading this literature can help us understand the meaning of maximum likelihood estimation
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硬判决和和积译码的性能相差不大，而最大似然译码的性能较好。因为最大似然译码的方法是找出所有发送码字中可能性最大的发送码字作为译码估值，是一种通过经验与归纳，由接收值推测发送码字的方法。-Hard decisions and the performance of the sum-product decoding little difference, the maximum likelihood decoding performance is better. Because the maximum
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统的联合概率数据关联算法(IPDA)是在密集杂波环境下的一种良好的多目标跟踪算法，
但它是针对单传感嚣对多目标跟踪的情况下使用，不能直接用于多传感器对多目标的跟踪。针对这
一问题，文中提出了一种适用于多传感器多目标跟踪的JPDA算法，它以极大似然估计完成对来自
多传感器的测量集合进行同源最优分划，然后采用JPDA方法对多目标进行跟踪。经过理论分析和
仿真试验，证明了该方法能有效地进行多传感器多目标的跟踪，且具有算法简单、跟踪精度高、附
加的计算量小等优点。-Abstract)
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