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Description: 本书的重点是提高软件开发的工作效能，将人力的浪费减到最少，并兼顾软件的品质。前3章主要谈的是让团队不必大量加班的基本观念和策略，后面5章是慎防流程的僵化、开发进程的掌握、开发人员的训练、正确的工作态度以及长时间工作的症候群上。-the focus of the book is to improve the software development capability, human waste is reduced to a minimum. take into account the quality of the software. Chapter 3 of the former mainly on the team is not a lot of overtime basic concepts and strategies behind beware of Chapter 5 of the rigid process, master of the development process, development of training, positive work attitude and work long hours on the syndrome.
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Size: 1390447 |
Author: Jawen |
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Description: encode.v The encoder
syndrome.v Syndrome generator in decoder
berlekamp.v Berlekamp algorithm in decoder
chien-search.v Chien search and Forney algorithm in decoder
decode.v The top module of the decoder
inverse.v Computes multiplication inverse of an Galois field element
test-bench.v The test fixture, and some brief notes on using the modules.
data-rom.v A simple data source for testing
run For those intelligence-challenged who can t run verilog
LGPL The license
-encode.v syndrome.v Syndrome generator in decoder al berlekamp.v Berlekamp gorithm in decoder chien - search.v Chien searc h and Forney in decoder algorithm decode.v The t op module of the decoder inverse.v Computes intercommunication tiplication inverse of an element over Galois field test-bench.v The test fixture. and some brief notes on using the modules. data - rom.v A simple data source for testing run For th PNA intelligence-challenged who can not run veri The log LGPL license
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Size: 44917 |
Author: zs8292 |
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Description: Hard-decision decoding scheme
Codeword length (n) : 31 symbols.
Message length (k) : 19 symbols.
Error correction capability (t) : 6 symbols
One symbol represents 5 bit.
Uses GF(2^5) with primitive polynomial p(x) = X^5 X^2 + 1
Generator polynomial, g(x) = a^15 a^21*X + a^6*X^2 + a^15*X^3 + a^25*X^4 + a^17*X^5 + a^18*X^6 + a^30*X^7 + a^20*X^8 + a^23*X^9 + a^27*X^10 + a^24*X^11 + X^12. Note: a = alpha, primitive element in GF(2^5) and a^i is root of g(x) for i = 19, 20, ..., 30.
Uses Verilog description with synthesizable RTL modelling.
Consists of 5 main blocks: SC (Syndrome Computation), KES (Key Equation Solver), CSEE (Chien Search and Error Evaluator), Controller and FIFO Register.
-Hard-decision decoding scheme Codeword l KV (n) : 31 symbols. Message length (k) : 19 symbols. Error correction capability (t) : 6 symbols One symbol represents five bit. Uses GF (2 ^ 5) with primitive polynomial p (x) = x ^ x ^ 5 2 1 Ge nerator polynomial. g (x) = a ^ a ^ 15 * 21 ^ 6 a X * X ^ a ^ 15 2 * X ^ a ^ 3 25 * X ^ a ^ 4 17 5 * X ^ a ^ 18 ^ 6 X * a * X 30 ^ 7 ^ a ^ 20 * X ^ a ^ 23 8 * X ^ a ^ 9 * 27 X 10 ^ a ^ 24 * 11 ^ X ^ X 12. Note : a = alpha, primitive element in GF (2 ^ 5) and a ^ i is the root of g (x) for i = 19, 20, ..., 30. Uses Verilog description with synthesizab le RTL modeling. Consists of five main blocks : SC (Syndrome Computation), KES (Key Equation Solver). CSEE (Chien Search and Error Evaluator) Controller and FIFO Register.
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Size: 14247 |
Author: 孟轲敏 |
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Description: 本书的重点是提高软件开发的工作效能，将人力的浪费减到最少，并兼顾软件的品质。前3章主要谈的是让团队不必大量加班的基本观念和策略，后面5章是慎防流程的僵化、开发进程的掌握、开发人员的训练、正确的工作态度以及长时间工作的症候群上。-the focus of the book is to improve the software development capability, human waste is reduced to a minimum. take into account the quality of the software. Chapter 3 of the former mainly on the team is not a lot of overtime basic concepts and strategies behind beware of Chapter 5 of the rigid process, master of the development process, development of training, positive work attitude and work long hours on the syndrome.
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Size: 1390592 |
Author: Jawen |
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Description: encode.v The encoder
syndrome.v Syndrome generator in decoder
berlekamp.v Berlekamp algorithm in decoder
chien-search.v Chien search and Forney algorithm in decoder
decode.v The top module of the decoder
inverse.v Computes multiplication inverse of an Galois field element
test-bench.v The test fixture, and some brief notes on using the modules.
data-rom.v A simple data source for testing
run For those intelligence-challenged who can t run verilog
LGPL The license
-encode.v syndrome.v Syndrome generator in decoder al berlekamp.v Berlekamp gorithm in decoder chien- search.v Chien searc h and Forney in decoder algorithm decode.v The t op module of the decoder inverse.v Computes intercommunication tiplication inverse of an element over Galois field test-bench.v The test fixture. and some brief notes on using the modules. data- rom.v A simple data source for testing run For th PNA intelligence-challenged who can not run veri The log LGPL license
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Size: 45056 |
Author: zs8292 |
Hits:
Description: Hard-decision decoding scheme
Codeword length (n) : 31 symbols.
Message length (k) : 19 symbols.
Error correction capability (t) : 6 symbols
One symbol represents 5 bit.
Uses GF(2^5) with primitive polynomial p(x) = X^5 X^2 + 1
Generator polynomial, g(x) = a^15 a^21*X + a^6*X^2 + a^15*X^3 + a^25*X^4 + a^17*X^5 + a^18*X^6 + a^30*X^7 + a^20*X^8 + a^23*X^9 + a^27*X^10 + a^24*X^11 + X^12. Note: a = alpha, primitive element in GF(2^5) and a^i is root of g(x) for i = 19, 20, ..., 30.
Uses Verilog description with synthesizable RTL modelling.
Consists of 5 main blocks: SC (Syndrome Computation), KES (Key Equation Solver), CSEE (Chien Search and Error Evaluator), Controller and FIFO Register.
-Hard-decision decoding scheme Codeword l KV (n) : 31 symbols. Message length (k) : 19 symbols. Error correction capability (t) : 6 symbols One symbol represents five bit. Uses GF (2 ^ 5) with primitive polynomial p (x) = x ^ x ^ 5 2 1 Ge nerator polynomial. g (x) = a ^ a ^ 15* 21 ^ 6 a X* X ^ a ^ 15 2* X ^ a ^ 3 25* X ^ a ^ 4 17 5* X ^ a ^ 18 ^ 6 X* a* X 30 ^ 7 ^ a ^ 20* X ^ a ^ 23 8* X ^ a ^ 9* 27 X 10 ^ a ^ 24* 11 ^ X ^ X 12. Note : a = alpha, primitive element in GF (2 ^ 5) and a ^ i is the root of g (x) for i = 19, 20, ..., 30. Uses Verilog description with synthesizab le RTL modeling. Consists of five main blocks : SC (Syndrome Computation), KES (Key Equation Solver). CSEE (Chien Search and Error Evaluator) Controller and FIFO Register.
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Size: 14336 |
Author: 许茹芸 |
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Description: 现代通信系统书籍仿真程序，不错的程序
供初学习者使用-The Slepian-Wolf (SW) cooperation proposed in [1] is probably the first practical cooperative
scheme that implements the idea of compress-and-forward. Through the exploitation of efficient
distributed source coding (DSC) technology, the authors of [1] demonstrate the effectiveness of
Slepian-Wolf cooperation in combating inter-user channel outage in wireless environment. In this
paper, we discuss the general framework of Slepian-Wolf cooperation using the two most popular
DSC technologies: the binning/syndrome approach and the parity approach. We show that the
latter is particularly useful in SW cooperation, since it is conceptually simpler, provides certain
performance advantages, and enables any (system) linear channel code to be readily exploited.
Examples using convolutional codes, low-density generator-matrix codes and low-density paritycheck
codes are demonstrated and practical algorithms for estimating the source-relay correlation
and for decoding the compound packets
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Size: 9216 |
Author: 史志举 |
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Description: 现代通信系统书籍底八章仿真程序，很好的程序，初学习这很好的教材-The Slepian-Wolf (SW) cooperation proposed in [1] is probably the first practical cooperative
scheme that implements the idea of compress-and-forward. Through the exploitation of efficient
distributed source coding (DSC) technology, the authors of [1] demonstrate the effectiveness of
Slepian-Wolf cooperation in combating inter-user channel outage in wireless environment. In this
paper, we discuss the general framework of Slepian-Wolf cooperation using the two most popular
DSC technologies: the binning/syndrome approach and the parity approach. We show that the
latter is particularly useful in SW cooperation, since it is conceptually simpler, provides certain
performance advantages, and enables any (system) linear channel code to be readily exploited.
Examples using convolutional codes, low-density generator-matrix codes and low-density paritycheck
codes are demonstrated and practical algorithms for estimating the source-relay correlation
and for decoding the compound packets
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Size: 9216 |
Author: 史志举 |
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Description: 现代通信原理第九章程序代码，不错的程序，初学习者很好的程序-The Slepian-Wolf (SW) cooperation proposed in [1] is probably the first practical cooperative
scheme that implements the idea of compress-and-forward. Through the exploitation of efficient
distributed source coding (DSC) technology, the authors of [1] demonstrate the effectiveness of
Slepian-Wolf cooperation in combating inter-user channel outage in wireless environment. In this
paper, we discuss the general framework of Slepian-Wolf cooperation using the two most popular
DSC technologies: the binning/syndrome approach and the parity approach. We show that the
latter is particularly useful in SW cooperation, since it is conceptually simpler, provides certain
performance advantages, and enables any (system) linear channel code to be readily exploited.
Examples using convolutional codes, low-density generator-matrix codes and low-density paritycheck
codes are demonstrated and practical algorithms for estimating the source-relay correlation
and for decoding the compound packets
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Size: 7168 |
Author: 史志举 |
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Description: 现代通信原理第十章程序代码，不错的程序，初学习者很好的程序-The Slepian-Wolf (SW) cooperation proposed in [1] is probably the first practical cooperative
scheme that implements the idea of compress-and-forward. Through the exploitation of efficient
distributed source coding (DSC) technology, the authors of [1] demonstrate the effectiveness of
Slepian-Wolf cooperation in combating inter-user channel outage in wireless environment. In this
paper, we discuss the general framework of Slepian-Wolf cooperation using the two most popular
DSC technologies: the binning/syndrome approach and the parity approach. We show that the
latter is particularly useful in SW cooperation, since it is conceptually simpler, provides certain
performance advantages, and enables any (system) linear channel code to be readily exploited.
Examples using convolutional codes, low-density generator-matrix codes and low-density paritycheck
codes are demonstrated and practical algorithms for estimating the source-relay correlation
and for decoding the compound packets
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Size: 1021952 |
Author: 史志举 |
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Description: This Circuit generates the syndrome for the CRC. This is quite useful for transmision purposes and error checking issues.
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Size: 1339392 |
Author: Jose |
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Description: RS(204,188)译码器说明
原文件：
rs_decoder.v（顶层文件）, SyndromeCalc.v（计算伴随式）, BM_KES.v（BM求解关键方程）,
Forney.v（Forney算法求误差样值）, CheinSearch.v（搜索错误位置）,ff_mul.v（有限域乘法）。
ROM及初始化文件：
rom_inv.v（求逆运算）, rom_power.v（求幂运算）；
rom_inv.mif（ROM初始化文件）, rom_power.mif（ROM初始化文件）。
仿真波形：
rs_decoder.vwf。-RS (204,188) decoder that the original document: rs_decoder.v (top-level document), SyndromeCalc.v (calculated Syndrome), BM_KES.v (BM key equation solving), Forney.v (Forney algorithm for error-like value), CheinSearch.v (search the wrong location), ff_mul.v (finite field multiplication). ROM and the initialization file: rom_inv.v (inverse operation), rom_power.v (for power calculations) rom_inv.mif (ROM initialization file), rom_power.mif (ROM initialization files). Simulation waveforms: rs_decoder.vwf.
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Size: 14336 |
Author: 川天古木 |
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Description: decoder of Hamming
Use a [7,4] Hamming code.
m = 3 n = 2^m-1 k = n-m
parmat = hammgen(m) Produce parity-check matrix.
trt = syndtable(parmat) Produce decoding table.
recd = [1 0 0 1 1 1 1] Suppose this is the received vector.
syndrome = rem(recd * parmat ,2)
syndrome_de = bi2de(syndrome, left-msb ) Convert to decimal.-decoder of Hamming
Use a [7,4] Hamming code.
m = 3 n = 2^m-1 k = n-m
parmat = hammgen(m) Produce parity-check matrix.
trt = syndtable(parmat) Produce decoding table.
recd = [1 0 0 1 1 1 1] Suppose this is the received vector.
syndrome = rem(recd* parmat ,2)
syndrome_de = bi2de(syndrome, left-msb ) Convert to decimal.
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Size: 69632 |
Author: le thanh tan |
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Description: linear codes
syndrome decoding with maple
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Size: 16384 |
Author: hasan |
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Description: RS(511,495) decoder for NAND flash controller,decoding steps:
(1)syndrome
(2)Berlekamp-Massey
(3)chien
(4)forney
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Size: 331776 |
Author: 彭洪 |
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Description: 线性码，包含生成矩阵，冗余校验矩阵，编码，译码，十进制二进制转换-linear code, including generate matrix, parity check matrix, syndrome decoding, decimal to binary converter and so on.
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Size: 111616 |
Author: 李文 |
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Description: the first step og bch code decoder part. syndrome generator
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Size: 667648 |
Author: neeha |
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Description: 家用睡眠呼吸暂停综合症检查系统手机段软件，录制夜晚睡眠声音，并通过ftp上传至电脑端，进行数据分析。-Home sleep apnea syndrome inspection system phone segment software, recording sound sleep at night, and by ftp upload to PC for data analysis.
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Size: 2495488 |
Author: 孟泽民 |
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Description: PPT file which shows how Cyclic Syndrome Circuit works-PPT file which shows how Cyclic Syndrome Circuit works
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Size: 136192 |
Author: mojtaba |
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Description: SVM神经网络的回归预测分析 -上证开盘指数预测-Regression Syndrome opening Index Forecast Forecast and Analysis - SVM neural network on
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Size: 178176 |
Author: 伯爵 |
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