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提供实现了（2，1，7）卷积码的维特比译码的源程序，采用了最大似然算法，介绍了软判决维特比译码算法过程的三个步骤：初始化、度量更新和回溯译码。-for achieving a (2,1,7) Convolutional Codes Viterbi decoding of the source, using the maximum - likelihood algorithm, introduced a soft-decision Viterbi decoding algorithm of the
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探讨了CDMA 数字移动通信中的差错控制问题, 研究用约束度K = 9 的卷积编码
和最大似然V iterbi 译码的差错控制方案. 在V iterbi 译码算法中, 提出了原位运算度量、保
存路径转移过程和循环存取幸存路径等方法, 能有效地减少存储量、降低功耗, 使得K =
9 的V iterbi 译码算法可在以单片XC4010 FPGA 为主的器件上实现, 其性能指标符合CD2
MA 数字移动通信IS 95 标准要求. 文中给出了实测的算法性能, 讨论了FPGA 具体实现
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urbo码是1993年法国人Berrou提出的一种新型编码方法。它巧妙的将卷积码和随机交织器结合在一起；同时，采用软输出迭代译码来逼近最大似然译码-urbo code is 1993 French Berrou proposed a new encoding method. It is clever to convolutional codes and random interleaver together the same time, the use of soft-output itera
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Readme
Complex class is very similar to the Standard C++ library complex class and the standard C++ class could be substituted in many cases.
Code is wrapped in namespace SPUC
SPUC DSP C++ source code library directory structure
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Of spherical harmonics graphic simulation, Import data files as input parameters matlab program is running, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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Calculating a target and ocean echo power spectral density, LM386 audio signal amplification, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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Least-squares regression analysis algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Based on the time delay estimation of power spectrum.
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Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, For feature extraction, signal de-noising, The commonly used digital signal modulation based on artificial neural network.
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Stepwise linear regression, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Consider shadow rain attenuation and multipath effect.
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Clustering analysis based on Euclidean distance, Course designed to prepare the matlab program code, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Calculation of the Euclidean distance between the two matrices, Multi-target tracking particle filter.
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Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, It contains CV, CA, Single, current, constant turn rate, turning model, Some adaptive signal processing algorithms.
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Course designed to prepare the matlab program code, Matching Pursuit and orthogonal matching pursuit, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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Code, there are very complete notes and explanations IDW inverse distance weighting method, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Consider shadow rain attenuation and multipath effects Automatic identification in the matlab environment the size of the connected area.
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Using a large number of finite element method to solve partial differential equations, To achieve the recognition of 10 digital sound, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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Including Deng's correlation, absolute correlation, correlation of slope, improved absolute correlation, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, BP neural network function fitting and pattern recognition.
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PSS primary synchronization signal in the time domain simulation related, MIMO OFDM matlab simulation, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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matlab prepared cellular automata, Random ppm modulated analog signal under Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Do Vision Measurement PC code, Undergraduate complete set requirements refer to the standard test models.
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