blindgamma_orginal

自己的数字信号处理第三版的课后实验作业，有兴趣的可以参考参考。(Its own digital signal processing of the third edition of the after-school lab assignments, who are interested can refer to reference. !)

时频分析相关资料 及相关函数 怎样调用 很全面(Time-frequency analysis of how information and related function call is very comprehensive)

Modeling and control of hybrid renewable energy systems PV/Wind...

建立EDFA的放大模块模型，不考虑损耗，仅考虑功率放大功能( Build EDFA amplification module model, without considering the loss, only consider the power zoom function)

this is a matlab code fro h.264 coding

简单实用的matlab例程，信号方位估计的一种算法(simple but classic matlab algorithm, is the polynomial method to find DOA (Direction of Arrival))

this program is part of funtion to do a antenna yagi

说明：  两种不同的假设： H1 ： 0 xn A fn wn ( ) cos(2 ) ( ) = ++ π θ n=1,2,…,N，f0 为规一化频率 H0 ： xn wn () () = n=1,2,…,N 其中 w[n]是均值为 0，方差为 2 σ n 的高斯白噪声，A 已知，样本间相互 独立，信号与噪声相互独立; 相位θ 是随机变量，它服从均匀分布 1 0 2 ( ) 20 p θ π θ π ?? ≤ ≤ = ??? 其它 1）改变输入信噪比（改变 A 或噪声方差均可），给定虚警概率，画出 输入信噪比与检测概率之间的理论曲线。(注意：理论检测曲线与样本 数有关) 2）改变样本数，用 Monte-Carlo 实验方法得出 PF＝0.001 时输入信噪比 与检测概率之间关系曲线（至少三条），并得出结论。 3）改变 M-C 实验次数，样本数不变，用 Monte-Carlo 实验方法得出 PF ＝0.001 时输入信噪比与检测概率之间关系曲线（至少三条），并得出 结论。(Draw the theoretical curve between input SNR and detection probability)

LAN9115 circuit application

Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA toolbox is presen