资源列表
QPSK_Simulation
- communication engineering
BCH_antropy_noisy
- this code could be use for calculating the entropy of BCH code noise
by_noise
- this code could be use for caculating entropy of hamming code by noise
readsalamon_Xor_noisy
- this code be could for calculating the read solomon code entropy by noise
OFDM
- 不同GI长度的OFDM-QAM系统性能仿真(Performance simulation of OFDM-QAM systems with different GI lengths)
matlab并行测试
- 测试并发执行效率的测试程序，通过修改参数可以观察任务数量、并行传输数据量、并行子任务计算量对整个并发提升效率的影响。(To test the efficiency of concurrent execution, we can observe the influence of the number of tasks, the amount of parallel data transferred and the amount of parallel subtask computation on
MIMO_Detection
- 实现MIMO检测 MIMO(Multiple-Input Multiple-Output)技术指在发射端和接收端分别使用多个发射天线和接收天线，使信号通过发射端与接收端的多个天线传送和接收，从而改善通信质量。它能充分利用空间资源，通过多个天线实现多发多收，在不增加频谱资源和天线发射功率的情况下，可以成倍的提高系统信道容量，显示出明显的优势、被视为下一代移动通信的核心技术(The technology refers to transmitting and receiving antennas a
plot_hot_map
- 用不同颜色散点直观描述信号在星座图上概率分布，(Describe the distribution and probability of signals with different colors in the constellation diagram,)
BER_perf_4QAM_2x2MIMO
- 2x2MIMO的误码率性能仿真，比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在4QAM下的性能曲线(The BER performance of 2x2MIMO is simulated, and the performance curves of ML, ZF, MMSE, ZF-SIC, and MMSE-SIC under 4QAM are compared)
BER_perf_4QAM_4x4MIMO
- 4x4MIMO的误码率性能仿真，比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在4QAM下的性能曲线(The BER performance of 4x4MIMO is simulated, and the performance curves of ML, ZF, MMSE, ZF-SIC, and MMSE-SIC under 4QAM are compared)
BER_perf_16QAM_2x2MIMO
- 2x2MIMO的误码率性能仿真，比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在16QAM下的性能曲线(The BER performance of 2x2MIMO is simulated, and the performance curves of ML, ZF, MMSE, ZF-SIC, and MMSE-SIC under 16QAM are compared)
BER_perf_16QAM_4x4MIMO
- 4x4MIMO的误码率性能仿真，比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在16QAM下的性能曲线(The BER performance of 4x4MIMO is simulated, and the performance curves of ML, ZF, MMSE, ZF-SIC, and MMSE-SIC under 16QAM are compared)