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Search - Viterbi-decoding - List
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vtbit
DL : 0
卷积码及其维特比译码算法的软件实现 c语言算法介绍-Convolutional Codes and Viterbi decoding algorithm software algorithm introduced language c
Date
: 2026-01-12
Size
: 138kb
User
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wangdong
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OnaViterbidecoderdesignforlowpowerdissipation
DL : 0
On a Viterbi decoder design for low power dissipation原文,关于Viterbi译码的论文-On a Viterbi decoder design for low power dissipation original paper on the Viterbi decoding
Date
: 2026-01-12
Size
: 372kb
User
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ro02150400
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decodingofconvolutionalcodes
DL : 0
decoding of convolutional codes,卷积码译码书籍,关于Viterbi译码-decoding of convolutional codes, convolutional codes decoding of books, on the Viterbi decoding
Date
: 2026-01-12
Size
: 768kb
User
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ro02150400
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Sandhu09_Coding_Theory_Project
DL : 0
An implementation of Convolutional coding and Viterbi decoding with step by step
Date
: 2026-01-12
Size
: 467kb
User
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GogiB.
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viterbi
DL : 0
Channel Encoding & Decoding Viterbi Viterbi Algorithm
Date
: 2026-01-12
Size
: 194kb
User
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Thangnt
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decoding-of-convolutional-codes
DL : 0
卷积编码器自身具有网格结构,基于此结构我们给出两种译码算法:Viterbi 译码算法和BCJR 译码算法-Convolution encoder grid structure, we give two decoding algorithm based on this structure: Viterbi decoding algorithm and BCJR decoding algorithm
Date
: 2026-01-12
Size
: 768kb
User
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yangziyuan
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Viterbi_2_1_9
DL : 0
基于FPGA的维特比译码,参数是2 1 9-FPGA-based Viterbi decoding, the parameter is 2 1 9
Date
: 2026-01-12
Size
: 199kb
User
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周思源
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UnderstandingLTEwithMATLAB
DL : 0
含有两个进行对比的函数,一个是硬判决Viterbi译码,另外一个是软判决Viterbi译码。-Comparison function contains two, one is the hard decision Viterbi decoding, the other is a soft decision Viterbi decoding.
Date
: 2026-01-12
Size
: 2kb
User
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赵洪民
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maxwell
DL : 0
Max Welling s Notes 原网页是PS格式的,我都转成了pdf格式方便阅读,机器学习算法相关,都是一些相对基础的算法,这个笔记把很多算法的精髓都整理的很清楚,适合初学者入门看,以及一些新的算法里面可能没有涉及,在英文描述中我把里面涉及的算法列了一下,按需求下载吧。-Max Welling s Notes。Statistical Estimation [ps] - bayesian estimation - maximum a posteriori (MAP) estimation - maximum likelihood (ML) estimation - Bias/Variance tradeoff & minimum description length (MDL) Expectation Maximization (EM) Algorithm [ps] - detailed derivation plus some examples Supervised Learning (Function Approximation) [ps] - mixture of experts (MoE) - cluster weighted modeling (CWM) Clustering [ps] - mixture of gaussians (MoG) - vector quantization (VQ) with k-means. Linear Models [ps] - factor analysis (FA) - probabilistic principal component analysis (PPCA) - principal component analysis (PCA) Independent Component Analysis (ICA) [ps] - noiseless ICA - noisy ICA - variational ICA Mixture of Factor Analysers (MoFA) [ps] - derivation of learning algorithm Hidden Markov Models (HMM) [ps] - viterbi decoding algorithm - Baum-Welch learning algorithm Kalman Filters (KF) [ps] - kalman filter algorithm (very detailed derivation) -
Date
: 2026-01-12
Size
: 1.16mb
User
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陈希
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