tpds

在AWGN信道的16QAM仿真程序，采用蒙特卡洛方法比较了16QAM理论和实际的误码率。(16QAM in AWGN channel simulation program using the Monte Carlo method is a theoretical and practical 16QAM BER.)

该算法是迄今为止我找到的最好的最完整的单载波频域均衡的原理。众所周知，时域均衡一直是接收机的瓶颈能估，频域均衡则要简单的多。频域均衡使用基于块传输的机制，类似于OFDM，并且是单载波的。接收机十分完整，包含载波同步、帧同步等，最重要的均衡处理。(This algorithm is the best and the most complete single carrier frequency domain equalization principle I have found so far. As we all know, time domain equalization is always the bottleneck of the receiver, and frequency domain equalization is much simpler. Frequency domain equalization is based on block transmission mechanism, which is similar to OFDM and is single carrier. The receiver is very complete, including carrier synchronization, frame synchronization, and so on, the most important equalization processing.)

simulating PAPR reduction with SLM method in STBC MIMO OFDM

循环平稳入门讲解，关于循环平稳常用的参数，简单易懂(It is simple and easy to understand the commonly used parameters of circular stationary.)

CDMA以及MC-CDMA中的多用户联合检测 MMSE算法以及ZF(迫零)算法(CDMA and MC-CDMA in multi-user MMSE joint detection algorithm, as well as ZF (zero forcing) algorithm)

说明：  多子带自适应算法，能够有较好的鲁棒性以及稳态特性。(The multi-subband adaptive algorithm has better robustness and steady-state characteristics.)

说明：  在单径瑞利信道中，设计一种时分的导引辅助的信道估计方法，用Simulink和m语言进行仿真，测量BPSK的误码率性能，画出比特信噪比与误码率的关系曲线，并与理论误码率曲线进行对比(In the single path Rayleigh channel, a time-division guidance aided channel estimation method is designed. The simulation is carried out with Simulink and M language. The BER performance of BPSK is measured, and the relationship curve between bit signal-to-noise ratio and BER is drawn, and compared with the theoretical BER curve)

正交频分复用系统中信号的调制与解调，我们用傅里叶反变换和变换来实现(Orthogonal frequency division multiplexing system signal modulation and demodulation, and we use the inverse Fourier transform to achieve transform)

说明：  集合了一些music算法doa估计的仿真程序，希望对大家有帮助(Some simulation programs for DOA estimation of music algorithm are collected. I hope it will be helpful for you)

一种降低正交频分复用信号峰均功率比的方法--压缩扩展变换()