radarfilter

说明：  自适应控制算法的另一个Simulink模型，可运行，是无模型参考控制算法的一个应用实例，供共同学习和交流(Adaptive control algorithm to another Simulink model to run, there is no model reference control algorithm of an application example for the common learning and exchange)

一个有限长序列,用matlab实现其N=100的DFT。给出其幅度与相位曲线，并讨论其相关性质。 (A finite-length sequence, using matlab to achieve its N = 100 of the DFT. Given its magnitude and phase curves, and discuss their related properties.)

MALAB写的，分支定界法求解纯整数或混合的整数规划问题。(Written MALAB, branch and bound method to solve pure integer or mixed integer programming problem.)

matlab中运用hough变换，设定恰当的阈值，将超过阈值的点在三维空间标示出来&将三维参数矩阵根据半径的不同做成不同的帧，制作成视频(hough transform matlab in use, set the appropriate threshold, will exceed the threshold point in three-dimensional space marked out & three-dimensional parameter matrix made of different frames depending on the radius, made into video)

关于计算在Klobuchar模型下的穿透点的电离层延迟和格网电离层延迟(Under Klobuchar model on the calculation of the penetration points ionospheric delay and grid ionospheric delay)

说明：  VMD是一种自适应、完全非递归的模态变分和信号处理的方法。(VMD is an adaptive, completely non-recursive method of modal variational and signal processing.)

实现了高斯白噪声的信道模型，提供了相关的源代码(realize the model of a signal path)

说明：  基于宽带调制转换器的一个压缩感知技术，Matlab软件包，用于模拟系统的采样。(A compressed sensing technology based on wideband modulation converter)

The two-channel QMF bank is one of the earliest and most commonly used filter bank structures.

针对非圆信号DOA估计问题,提出了一种基于实值特征值分解 (Eigenvalue decomposition,EVD)的求根MUSIC算法.首先利用非圆信号为实值信号的特点,将阵列上的接收数据及其共轭用欧拉公式转换为实值正弦与 余弦数据,然后将正弦与余弦数据进行串联,从而扩展了数据维数.由于采用实值矩阵的EVD,因此在EVD阶段的运算量简化为复值EVD的1/4.根据 EVD后获得的信号与噪声子空间的特点,对噪声子空间和导向矩阵进行重构以便于可以使用求根MUSIC算法获取对DOA的估计.仿真实验验证了本文算法的 有效性(For the estimation of noncircular signals of DOA, proposes a decomposition value based on real valued features (Eigenvalue decomposition, EVD) the root MUSIC algorithm. Firstly, characteristics of non circular signals for real valued signals, the array data and its conjugate with the Euler formula into real value of sine and cosine and sine and cosine data. The data series, thus expanding the dimension of the data. Because of the use of real valued matrix computation in EVD, so the EVD stage was simplified as a complex valued EVD 1/4. according to the characteristics of signal and noise subspace is obtained after EVD, the noise subspace and orientation matrix reconstruction in order to facilitate the use of DOA can obtain the estimated root MUSIC the algorithm. The simulation results verify the effectiveness of the proposed algorithm)