TMXO_CFAR

Discontinuous Galerkin Methods Algorithms, Analysis, and Applications for Advec1D

MATLAB GUIDE TO BEGINNERS

用RRT搜索算法作的一种路径优化算法，效果不错，只是耗时较长。(A path optimization algorithm based on RRT search algorithm has a good effect, but it takes a long time.)

先得到一个定位初始估计值，再利用建立最大似然方程对这个定位初始估计值进行修正，从而得到更优定位结果值，方法更接近于最大似然方法。(Get the a position initial estimate, re-use to establish the maximum likelihood equations corrected for positioning the initial estimates, resulting in better positioning the resulting value is closer to the maximum likelihood method.)

一个最简单的EMD分解程序，并且附带部分注释，特别适合初学者学习。( 我的收藏设置 一个最简单的EMD分解程序，并且附带部分注释，特别适合初学者学习。 One of the most simple EMD program, with some of the notes, especially suitable for beginners to learn. )

This is about Digital signal Processing.

本程序用matlab编写，主要是为解决IEEE40节点电力负荷分配问题而想的一种算法。我把该算法命名为水桶法，是受一桶水的高度总与这个桶的最短一块木板齐平的原理，算法每次迭代把功率分配给需要最小消耗的机组上。(This program with matlab, main is to solve the IEEE40 node power load distribution and think of an algorithm. I put the algorithm named bucket method, by a bucket of water is the height of the barrels of the shortest total and a board at the principle, each iteration algorithm the power allocation to the minimum consumption on the unit needs. )

仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 (he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)

10Gbit 尾随序列 RZ码 时域分析 频域分析 眼图 光脉冲

说明：  hht希尔伯特黄变换，自己使用，经过验证之后，能出结果的(HHT Hilbert Huang transform, their own use, after verification, the results can be)