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viterbi_binary_hard
- （3，1，4）卷积码的viterbi硬判决的源代码，通过高斯信道的误码率-(3,1,4) Convolutional Codes Viterbi hard decisions source code, the Gauss channel BER
harddecision
- 采用汉明码的BPSK仿真程序，译码使用硬判决，仿真给出误码率曲线-BPSK simulation procedures, the use of hard-decision decoding, given BER simulation curve
DECMMSE
- 解相关DEC和MMSE误码率曲线对比，包含LMS算法，以及硬判决-decorrelation DEC and MMSE BER curves contrast, contains LMS algorithm, and the hard decision
kmplot
- LDPC codes BER simulation under AWGN channel. MacKay-Neal based LDPC matrix. Message encoding uses sparse LU decomposition. There are 4 choices of decoder: hard-decision/bit-flip decoder, probability-domain SPA decoder, log-domain SPA decoder, and si
Convolutional_code
- 实现卷积码的BPSK调制、vitbi译码及软硬判决与未编码的BPSK误码率的对比-Convolutional codes to achieve BPSK modulation, vitbi hard and soft decision decoding and BPSK and uncoded BER comparison
LDPCBSN
- LDPC码既低密度奇偶校验码（Low Density Parity Check Code，LDPC），它由Robert G.Gallager博士于1963年提出的一类具有稀疏校验矩阵的线性分组码，不仅有逼近Shannon限的良好性能，而且译码复杂度较低, 结构灵活，是近年信道编码领域的研究热点，目前已广泛应用于深空通信、光纤通信、卫星数字视频和音频广播等领域。LDPC码已成为第四代通信系统(4G) -LDPC codes BER simulation under AWGN channel.
Final
- Generate random bits, convert to bipolar, corrupt the message by passing through noise and decode using hard decision decoding and calculate BER
QPSK_chain
- Simulation of a baseband QPSK mod/demod: TX : a pseudo random bit stream generation, Serial to parallel conversion, QPSK Mapping (Gray coding), Signal power computation Channel : AWGN channel RX: Soft Demapping / Hard Demapping, Plot constellat
script_ber_bpsk_convolutional_code_viterbi_decode
- scr ipt for computing the BER for BPSK modulation in AWGN with Hard and Soft decision Viterbi decoding with traceback
This_one
- Cooperative communication_power control a) Generate random binary sequence of +1’s and -1’s. (b) Given different Power to the source and the relay as well (c) Multiply the symbols with the channel and then add white Gaussian noise. (d) At
LDPC_BSN
- LDPC codes BER simulation under AWGN channel. MacKay-Neal based LDPC matrix. Message encoding uses sparse LU decomposition. There are 4 choices of decoder: hard-decision/bit-flip decoder, probability-domain SPA decoder, log-domain SPA decoder, and si
8aryQAM
- scr ipt for computing BER with Binary Convolutional Code and Viterbi decoding. Convolutional code of Rate-1/2, Generator polynomial - [7,5] octal Hard decision and soft decison decoding is used. -scr ipt for computing BER with Binary Conv
computingBERConvolutionalCod3
- scr ipt for computing BER with Binary Convolutional Code and Viterbi decoding. Convolutional code of Rate-1/2, Generator polynomial - [7,5] octal Hard decision and soft decison decoding is used. -scr ipt for computing BER with Binary Convolu
computingBERConvolutionalCod1
- scr ipt for computing BER with Binary Convolutional Code and Viterbi decoding with finite survivor state memory and variable traceback depth Convolutional code of Rate-1/2, Generator polynomial - [7,5] octal Hard decision decoding i
computingBERConvolutionalCod2
- scr ipt for computing BER with Binary Convolutional Code and Viterbi decoding with finite survivor state memory Convolutional code of Rate-1/2, Generator polynomial - [7,5] octal Hard decision and soft decison decoding is used.
computingBERConvolutionalCode
- scr ipt for computing BER with Binary Convolutional Code and Viterbi decoding. Convolutional code of Rate-1/2, Generator polynomial - [7,5] octal Hard decision decoding is used.
BER-curve-of-BPSK
- 代码实现了BPSK调制解调功能，包含成型滤波和硬判决模块。通过仿真出误码率曲线，并且画出理论曲线，验证了代码的正确性。-This code achieves the modulation and demodulation of BPSK.It includes the shaped filter and hard decision module.I plot the BER curve of BPSK and compared with the theoretical curve, I veri
BER-with-Hamming
- Code for computing BER with Hamming (7,4) code with soft and hard decision decoding -Code for computing BER with Hamming (7,4) code with soft and hard decision decoding
BER-for-BPSK-in-Rayleigh-channel
- Matlab example simulating a BPSK transmission and reception in Rayleigh channel. The scr ipt performs the following (a) Generate random binary sequence of +1’s and -1’s. (b) Multiply the symbols with the channel and then add white Gaussian
Untitled2
- 比较了用软判决和硬判决进行viterbi译码的BER-SNR曲线(Compare the BER-SNR curve of viterbi decoding by using hard decision and soft decision)