jacobis

WIMAX_WZ_withencoding:信道估计，相位噪声补偿，频偏估计，编解码都有 WIMAX_WZ_withoutencoding：在上面的工程基础上，去掉编解码部分 WIMAX_WZ_withoutprocessing：在上面的工程基础上，再去掉相位噪声补偿，频偏估计 WIMAX_WZ_withoutprocessing2：在上面的工程基础上，改用新的前导和导频联合信道估计方案,参考文档《基于802_16d标准的OFDM信道估计技术的研究与实现.kdh》 因为白噪声信道仿真只能体现QPSK调制和RS-CC编码的性能，需要仿真SNR可控的SUI信道，来估计信道均衡的性能。 在多普勒频偏fd>100Hz时，联合信道估计性能才比前导估计强，否则前导估计性能更优。对于600MHz中心频率，要求收发机相对运动速度大于180km/h，这种情况出现的概率不大(WIMAX_WZ_withencoding: channel estimation, phase noise compensation, frequency estimation, the codec has WIMAX_WZ_withoutencoding: the project on the basis of the above, remove the codec section WIMAX_WZ_withoutprocessing: the project on the basis of the above, then remove the phase noise compensation, offset estimation WIMAX_WZ_withoutprocessing2: In the project on the basis of the above, use the new leader and pilot joint channel estimation scheme, the document " Standards-based 802_16d OFDM channel estimation and implementation of technology .kdh" because white noise channel simulation only reflects the QPSK modulation and RS-CC coding performance requires simulation SNR controllable SUI channel, to estimate the performance of channel equalization. When Doppler shift fd> 100Hz, joint channel estimation performance was stronger than the leading estimate, otherwise better estimation performance leader. For 600MHz center frequency transceiver requirements relative velocity )

matlab多个实例分析，希望随大家有帮助。(matlab)

现代通信系统matlab第七章载波调制的数字传输源代码(Modern communications systems matlab Chapter VII of the carrier modulated digital transmission source code)

小型时域有限差分的程序，在matlab环境下运行。(Small FDTD program, run in matlab environment.)

说明：  使用AOA算法进行定位仿真，经过测试真实可用(AOA algorithm is used for positioning simulation, which is real and available)

Long Term Evolution developed by 3gpp

multi input pv for distributed applications

随机信号的各态历经性原理的MATLAB仿真应用(Random signal ergodic theory of MATLAB simulation application)

福利叶变换的原始代码，欢迎各位下载批评指正(Welfare Fourier transform of the original code, download the criticism and welcome)

经典的压缩感知cs重构算法之一分级omp(The classic one compressed sensing reconstruction algorithm cs cs omp)