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viterbidecoder
- 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
ldpcber
- This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s programs collection, which can be found in [1]. While Neal’s collecti
ViterbiFPGA
- 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
LOGMAP
- 为了在数字芯片上实现TURBO码译码时，降低硬件实现代价，提高运算速度，针对LOGMAP算法，研究了turbo码的译码过程中接收信号、路径度量值，对数似然比的量化方法，并分析了量化方法对译码性能的影响。-In order to achieve in the digital TURBO decoding chip, the lower hardware costs, improve processing speed, for LOGMAP algorithm to study the proces
15Turbo
- 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
spuc2.3.1
- 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 array -
vhcg_latest.tar
- Viterbi algorithm is the most likelihood decode algorithm of convolution code. Viterbi decoder means the VLSI implementation of Viterbi algorithm. In the area of communication, convolution code is very popular, so how to improve the performance a
paixu
- Switch 可能转化成多种不同算法的代码。其中最常见的是跳转表和比较链/树。当switch用比较链的方式转化时，编译器会产生if-else-if的嵌套代码，并按照顺序进行比较，匹配时就跳转到满足条件的语句执行。所以可以对case的值依照发生的可能性进行排序，把最有可能的放在第一位，这样可以提高性能。-Switch could be transformed into a variety of different algorithm code. One of the most common is
ldpc-decoder-code
- Specify the decision method used for decoding as one of Hard decision | Soft decision . The default is Hard decision . When you set this property to Hard decision , the output is decoded bits of double or logical data type. When you set this property
mie_v71
- 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.
dq871
- Calculating a target and ocean echo power spectral density, LM386 audio signal amplification, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
3521
- Least-squares regression analysis algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Based on the time delay estimation of power spectrum.
yei_wt33
- 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.
dc421
- Stepwise linear regression, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Consider shadow rain attenuation and multipath effect.
vm522
- Clustering analysis based on Euclidean distance, Course designed to prepare the matlab program code, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
vk572
- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Calculation of the Euclidean distance between the two matrices, Multi-target tracking particle filter.
pgvgf
- 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.
iw544
- Course designed to prepare the matlab program code, Matching Pursuit and orthogonal matching pursuit, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
ir305
- Code, there are very complete notes and explanations IDW inverse distance weighting method, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
damds
- 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.