turbo2

说明：  EMD matlab实现代码，可以直接用。经验模态分解（Empirical Mode Decomposition，EMD）是由 Huang等人于1998年提出的一种针对非线性、非平稳信号的自适应信号分解算法。(Empirical Mode Decomposition (EMD) is an adaptive signal decomposition algorithm for non-linear and non-stationary signals proposed by Huang et al. in 1998.)

解决多目标线性问题 解决多目标带约束条件的例子(To solve the multi-objective linear problem)

NMF在对Iris数据集上进行将为处理。(NMF:dimension reduction in the dataset Iris)

音频系统，coding, modulation, AWGN, 通过最小距离探测码元，解码，播放。根据不同的SNR，测试在多小的SNR情况下，人耳能识别音频。(Audio systems, coding, modulation, AWGN, by minimizing the distance detection symbol, decoding, playing. Depending on the SNR, the test in the case of multiple small SNR, the human ear can identify audio.)

时间序列实验 ARMA模型的EVIEWS操作(arma MODEL EVIEWS AND DOCUMENTS)

通过C +FORTRAN 在Simulink中解Riccati代数方程(ALGEBRAIC RICCATI SOLUTION IN SIMULINK VIA C+ FORTRAN )

2D 最大似然算法（ML），用于二维阵列信号处理的的DOA估计(An implementation of 2D ML algorithm, which is used for 2D DoA estimation in array signal processing.)

Bar-Shalom-Campo融合算法( Bar-Shalom-Campo data fusion algorithm)

说明：  风光混合储能的生命周期费用考虑包括蓄电池、超级电容器的生命周期费用，(Life cycle cost considerations for landscape hybrid energy storage include life cycle costs for batteries and supercapacitors.)

瑞利衰落信道的误码率性能的matlab的m文件(BER performance for Rayleigh fading channel)