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LDPC码译码相关文献
Bounds on the maximum likelihood decoding error probability of low density parity check codes
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Adaptive Filter. This scr ipt shows the BER performance of several types of equalizers in a static channel with a null in the passband. The scr ipt constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It
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A general decision rule for stochastic blind
maximum-likelihood OSTBC detection is derived.
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自己编的matlab程序。用于模式识别中特征的提取。是特征提取中的Sequential Forward Selection方法，简称sfs.它可以结合Maximum-Likelihood-Classifier分类器进行使用。
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A stack-based sequential depth-first decoder that returns Maximum-Likelihood solutions to spherical LAST coded MIMO system-type problems
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* acousticfeatures.m: Matlab scr ipt to generate training and testing files from event timeseries.
* afm_mlpatterngen.m: Matlab scr ipt to extract feature information from acoustic event timeseries.
* extractevents.m: Matlab scr ipt to extract ev
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he 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
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Maximum Likelihood Methods in Radar Array Signal Processing
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Viterbi decoder, maximum likelihood decoding. For a
// rate-1/n convolutional code. Correlation metric.
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matlab在系统辨识中的应用此处为递推的极大似然法应用的源代码及运行后结果（包括图像）-Matlab system identification in the application of recursive here Maximum Likelihood of the application's source code and running after the results (including images)
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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
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Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motion-based tracking framework which makes no such assumptions. Object is represented by
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ARMA 模型最大似然估计MATLAB例程,ARMA model maximum likelihood estimation
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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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This is a hidden Markov model (HMM) modeling program. Forward-backward algorithm is implemented to learn a model under maximum likelihood criterion.,This is a hidden Markov model (HMM) modeling program. Forward-backward algorithm is implemented to le
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Garch模型的最大似然估计方法，基于MATLAB程序。,Garch model of maximum likelihood estimation method, based on the MATLAB program.
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无线传感器网络中的三边定位法和极大似然估计法定位，以及二者的误差分析,Wireless sensor networks trilateral positioning method and maximum likelihood estimation positioning, and error analysis of both
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基于最大似然法则的帧同步仿真程序，包括数据的产生，性能分析。-Law based on the maximum likelihood frame synchronization simulation program, including data generation, performance analysis.
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递归极大似然数估计，在实际通信系统仿真过程中非常有用-Recursion number of maximum likelihood estimate, in actual communication system simulation process is very useful
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半参数回归模型拟极大似然估计的渐近分布Semi parametric regression model quasi maximum likelihood estimates of the asymptotic distribution-Semi parametric regression model quasi maximum likelihood estimates of the asymptotic distribution
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