traveling_wave

这是自己用MATLAB写的角点检测源程序，非常简单，效果良好(This is written using MATLAB corner detection source, very simple and effective)

马尔科夫链蒙特卡洛模拟，用于金融数学模型的参数估计等作用。(markov chain monte carlo simulation is used to be parameter estimation for financial mathematical models.)

说明：  用窗函数法设计一个能对模拟信号进行滤波的线性相位FIR低通滤波器。抽样频率为 kHz，通带截止频率为 kHz，阻带截止频率为 kHz，要求阻带最小衰减 dB。为了降低运算量，所设计滤波器的阶数要尽可能的低(With the window method to design a filter to the analog signals of linear phase FIR low-pass filter. Sampling frequency is kHz, passband cutoff frequency kHz, stopband cutoff frequency of kHz, the minimum required stopband attenuation dB. To reduce the computation, the order of the filter designed to be as low as possible)

说明：  The program can be used. ABC algorithm can solve the VRP Problem for reference.

单边带调制 双边带调制 幅度调制源代码 检验过了可以用的(Bilateral single-sideband amplitude modulation with the source code can be used)

FMCW调频连续波雷达的测距测角，相关分析过程的matlab方法，模拟数据分析处理的过程，脉冲响应的相关分析算法并检验，包含收发两个客户端的链路级通信程序,一些自适应信号处理的算法，各种kalman滤波器的设计，采用偏最小二乘法。( FMCW frequency modulated continuous wave radar range and angular measurements, Correlation analysis process matlab method, Analog data analysis processing, Related impulse response analysis algorithm and inspection, Contains two clients receive link-level communications program, Some adaptive signal processing algorithms, Various kalman filter design, Partial least squares method.)

本程序基于约瑟夫森结的RSJ模型，对无微波辐照和微波辐照下约瑟夫森结的特性进行了数值计算求解，其中有微波辐照的RSJ模型求解采用了四阶龙格库塔方程函数，两种情况都给出了I-V特性曲线图（程序包中也附带），展现了量子化电压台阶。(This procedure based on the RSJ Josephson junction model, no microwave radiation and microwave radiation characteristics of Josephson junction has been calculated solving, in which microwave radiation has the RSJ model for solving a fourth-order Runge-Kutta equation function In either case, they are given IV characteristic curve chart (also included with the package), demonstrating the quantum level of voltage.)

一个用matlab解决微分方程的例子，比较适合初学者(To solve a differential equation using matlab examples, more suitable for beginners)

线性预测在MATLAB中的实现，非常具有参考价值的文档(Linear prediction in the MATLAB implementation of the document is a reference value)

Introduction to Random Signals and Applied Kalman Filtering