搜索资源列表
QPSK+Rayleigh(AWGN)Simulation
- 用MATLAB生成QPSK信号,并通过瑞丽信道和AWGN信道的仿真。-MATLAB QPSK signal generation, and through Ruili Channel and AWGN channel simulation.
AWGN
- awgn信道的建模。matlab实现方针,进行了比较
matlab
- 其内容有: 1.基带输入波形及其功率谱 2.QPSK调制信号及其功率谱 3.AWGN信道输出及其功率谱 4.通过瑞利信道之前和之后的信号星座图 5.在高斯白噪声和瑞利衰落信道条件下的误码性能以及高斯白噪声的理论曲线,所有误码性能曲线在同一坐标比例下绘制
MAP. Matlab程序实现了MAP算法-最大后验概率算法
- 这个Matlab程序实现了MAP算法-最大后验概率算法,同时包括对算法有:卷积编码、卷积解码,BPSK,AWGN。同时绘制它的误码率和SNR(信噪比)。,The Matlab program achieved a MAP algorithm- maximum a posteriori probability algorithm, at the same time including the algorithm are: convolutional coding, convolution deco
Ed200307
- 能量检测,根据以URKOWITZ 在1967年发表的能量检测文章以及Digham 2003、Ghasemi 2007发表的一系列文章为参考, 在AWGN信道中,给定SNR下,先产生一个原始信号(单音或者BPSK基带信号),然后叠加高斯噪声, 再进行能量检测-Energy detection, according to URKOWITZ the energy released in the 1967 test articles, and Digham 2003, Ghasemi 2007 se
16QAM
- 实现AWGN信道16QAM调制、解调及误码率分析-AWGN channel to achieve 16QAM modulation, demodulation and BER Performance Analysis
ldpc
- ldpc码在AWGN信道下的性能仿真。包括geth.m,getG.m,H2G.m,decode.m,BER.m按传统的编码方案编码,生成H矩阵后转化为G矩阵,编码后送入高斯信道。仿真得到BER性能-ldpc codes in the AWGN channel performance simulation. Including geth.m, getG.m, H2G.m, decode.m, BER.m coded according to the traditional encoding sch
decodeBitFlip
- LDPC在BPSK考虑AWGN信道下,采用软判决和积算法的仿真。这是第一个-LDPC in AWGN channel BPSK considering the introduction of soft-decision and the plot of the simulation algorithm. This is the first
ADDAwatermarking
- 用MATLAB实现了该算法,并对所实现方法进行了验证,在步骤(3)中则给出了求出滤波器类型及参数的方案,并进行验证,在步骤(4)中通过MATLAB的AWGN函数等相关知识实现了AWGN信道的仿真。 本文首先介绍数字水印和音频水印的相关概念和发展概况,接着介绍了完成仿真工作所需的基础知识,之后提出DA/AD变换的仿真实现,-Using MATLAB realization of the algorithm, and the realization method of authenticatio
matlab_ydtx
- 一个四用户的扩频通信系统,扩频增益为N=16,采用Walsh码进行直接序列扩频,BPSK调制,无线信道为AWGN信道。在接收端进行解扩,解调,判决,通过仿真得到其中一个用户的误比特率与信噪比的仿真结果。-A four-user spread spectrum communication system, spreading gain for N = 16, using Walsh code Direct Sequence Spread Spectrum, BPSK modulation, AWGN
YYY_DSSS
- 设计一个四用户的扩频通信系统,扩频增益为N=16,采用Walsh码进行直接序列扩频,BPSK调制,无线信道为AWGN信道。在接收端进行解扩,解调,判决,通过仿真得到其中一个用户的误比特率与信噪比的仿真结果。-Designed a four-user spread spectrum communication system, spreading gain for N = 16, using Walsh code Direct Sequence Spread Spectrum, BPSK modul
awgnchannelsimulation
- 掌握二进制信号传输的系统特征,针对awgn信道的通信系统仿真匹配滤波(相关滤波)的通信过程-Grasp the binary system of signal transmission characteristics of awgn channel for communication system simulation matched filter (correlation filtering) of the communication process
Channel_Encode_AWGN_channel
- AWGN信道环境下,信道编码的性能分析(包括误码率BER和开销即运行时间),运用了Hamming Code Golay Code Circle Code and Converlute Code-channel encode including Hamming Code Golay Code Circle Code and Converlute Code in AWGN channel
MIMO_CAPCITY
- MIMO系统信道容量在AWGN下进行仿真-MIMO system, channel capacity simulation in AWGN
16QAM
- 采用16QAM调制方式对一串二进制信息进行基带调制,并分析其功率谱,在AWGN信道上进行传输,并解调,最后对其误比特(BER)性能加以分析。-Using 16QAM modulation methods on a string of binary information in the baseband modulation, and analyze the power spectrum, in the AWGN channel for transmission, and demodulation
LDPC
- 采用LDPC编码对随机的二进制序列进行纠错编码和基带调制,在AWGN信道上进行传输,然后在接收端并采用合适的方式进行解调和译码,最后对纠错编码的性能加以分析。-LDPC codes using random binary sequence of error-correcting coding and base-band modulation, for transmission in the AWGN channel, and then at the receiving end and use t
ofdm_jida
- 信道模型包括模拟多径造成的指数衰减模型、模拟噪声干扰的 AWGN模型、以及频率偏差,主要 Matlab 实现-Channel model including the simulation of multipath caused by the exponential decay model to simulate the noise of the AWGN model, and the frequency deviation, the main Matlab Implementation
GSM
- 实现 AWGN信道下的理论误码特性和仿真误码特性,GSM系统卷积码在AWGN信道的误码特性,GSM系统卷积码在突发信道和AWGN信道的误码特性,GSM系统卷积码和交织编码在突发信道和AWGN信道误码特性-AWGN channel to achieve the theoretical BER performance and simulation of BER performance, GSM system, convolutional code in AWGN channel BER perfor
program-of-ITECT
- QPSK调制解调的程序,在AWGN信道条件下仿真,运行成功-QPSK modulation and demodulation process, the simulation under AWGN channel, run successful
LDPC
- LDPC编码经过AWGN信道后的高斯消元法的译码过程的MATLAB仿真-LDPC codes through AWGN channel Gaussian elimination method, after the decoding process of MATLAB simulation