noise-estimation

是关于matlab入门的一个PPT，对初学者很有帮助的。。。(Matlab getting started on a PPT, very helpful for beginners. . .)

第4章 插值.zip。是光盘里面考的代码，放在这里，给大家分享，希望对大家有帮助。(Chapter 4 interpolation)

A dos attack demo on network layers BGP protocol

新的2维角度估计的高分辨方法。该方法首先建立基于范数约束的最优化问题的目标函数；然后用迭代算法沿均匀面阵接收数据的方位向求最小化目标函数的稀疏解，得到方位、俯仰角耦合的空间角频率，并分离信号；最后对每个分离的信号，沿面阵俯仰向求稀疏解，得到信号的俯仰角，进而求得对应的方位角。(The new high-resolution 2-D angle estimation method. Firstly, the establishment of an objective function optimization problems based on norm constraint then iterative algorithm along with uniform orientation plane array receives data to seek to minimize the objective function is sparse solution, get directions, spatial frequency coupling angle pitch angle, and separated signals Finally for each signal separation along the sparse area array pitch to seek solutions to obtain the pitch angle of the signal, and then obtain the corresponding azimuth.)

瑞利衰落信道下，分簇协作的频谱感知，设定一个门限值，在AND规则下大于门限值的仿真(Rayleigh fading channel, the clustering collaborative spectrum sensing, adaptive collaboration)

基于MRAS无速度传感器的永磁同步电机的仿真模型，可以实现较好的仿真结果。(MRAS based speed sensorless permanent magnet synchronous motor simulation model, can achieve a better simulation results.)

NEWTON RAPSHON METHOD FOR LOAD FLOW

本文件提供了雷达系统分析与设计一书配套的全部仿真代码，方便读者对于该书籍的进一步学习。(This document provides radar system analysis and design of a book supporting the whole simulation code, the convenience of the reader for further learning of the books.)

用Matlab仿真实现最小二乘法和总体最小二乘法估计 假设仿真的观测数据 产生，其中 为0均值， 单位方差的高斯白噪声，取n=1,2,....128。 试用TLS，取AR阶数为4，估计AR参数 和正弦波频率；再用SVD-TLS ，估计AR参数 和正弦波频率。 (1)、在仿真中，AR阶数取为4和6。 (2)、执行SVD-TCS时，AR未知。仿真运行至少二十次。 (Simulation using Matlab and the overall least squares least squares estimate assumptions simulated observation data are generated, where 0 mean, unit variance Gaussian white noise, take n = 1,2 ,.... 128. Try TLS, take AR order of 4, estimated AR parameters and the sine wave frequency then SVD-TLS, estimated AR parameters and the sine wave frequency. (1), in the simulation, AR order is taken as 4 and 6. (2), when the implementation of SVD-TCS, AR is unknown. Simulation run at least twenty times.)

麦克风阵列的模型建立，这主要是在室内的空间模型，可以模拟出麦克风的位置(Microphone array model, mainly in the interior of the space model, can simulate the location of the microphone)