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文章/文档 A general decision rule for stochastic blind maximum-likelihood OSTBC detection is derived.
A general decision rule for stochastic blind
maximum-likelihood OSTBC detection is derived.
通讯/手机编程 Computes BER v EbNo curve for convolutional encoding / soft decision Viterbi decoding scheme assum
Computes BER v EbNo curve for convolutional encoding / soft decision
Viterbi decoding scheme assuming BPSK.
Brute force Monte Carlo approach is unsatisfactory (takes too long)
to find the BER curve.
The computation uses a quasi-analytic (QA) technique that relies on the
estimation (approximate on ...
3G开发 The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Proces
The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Process : finite horizon, value iteration, policy iteration, linear programming algorithms with some variants.
The functions (m-functions) were developped with MATLAB v6.0 (one of the functions requires th ...
Java编程 A Web Tutorial on Discrete Features of Bayes Decision Theory This applet allows for the calculation
A Web Tutorial on Discrete Features of Bayes Decision Theory
This applet allows for the calculation of the decision boundary given a three dimensional feature vector. Specifically, by stipulating the variables such as the priors, and the conditional likelihoods of each feature with respect to each c ...
matlab例程 Bayes Decision Procedure Bases on MATLAB Progame
Bayes Decision Procedure Bases on MATLAB Progame
人工智能/神经网络 维特比译码程序。viterbi decoder with hard decision
维特比译码程序。viterbi decoder with hard decision
matlab例程 Viterbi Algorithm & Viterbi Decoder Matlab Code.(Provided both soft & hard decision ability). Note:
Viterbi Algorithm & Viterbi Decoder Matlab Code.(Provided both soft & hard decision ability). Note: The main function is viterbi.m
Java编程 This Decision Tree is developed in java language.
This Decision Tree is developed in java language.
其他 Decision Tree 决策树算法ID3 数据挖掘 分类
Decision Tree
决策树算法ID3
数据挖掘 分类
其他 Computationally efficient methods for blind decision feedback equalization of QAM signals
Computationally efficient methods for blind decision feedback equalization of QAM signals