chapter18_S

kalman滤波程序 关于信息融合方面的程序 (kalman programme about information fusion s programme)

Region growing image segmentation algorith in matlab

这是一个用k均值聚类的matlab 程序 程序对高维数据利用k均值进行了聚类(This is a k-means clustering matlab program procedures for high-dimensional data for the use of k-means clustering)

aplication using c# code

matlab simulink implementation for car parking in vertical mode by fuzzy

说明：  matlab的一些基本实用算法，包括插值与拟合，规划问题，数据分析，解方程等(matlab some basic practical algorithms, including interpolation and fitting, planning, data analysis, solving equations, etc.)

通信原理课程设计，对信号进行量化编码，计算SQNR信号量化噪声比，信号功率，量化噪声功率信号量化噪声比 (Communication theory curriculum design, signal quantization coding to calculate the SQNR signal quantization noise ratio, signal power, the quantization noise power signal to quantization noise ratio)

本代码将四阶累积量MUSIC算法和常规二阶MUSIC算法进行SNR性能对比。(The code will be fourth-order cumulant MUSIC algorithm and conventional second-order MUSIC algorithm SNR performance comparison.)

稳态kalman滤波算法仿真通式 本程序考虑线性离散时不变随机系统。系统模型为x(t+1)=fai*x(t)+gama*w(t) y(t)=H(t)*x(t)+v(t)。有6个参数：状态转移阵fai，输入噪声系数gama，观测阵H，输入 噪声方差Q，观测噪声方差R，观测y( Steady-state kalman filtering algorithm simulation program to consider the general form linear discrete time-invariant stochastic system. System model x (t+1) = fai* x (t)+ gama* w (t) y (t) = H (t)* x (t)+ v (t). There are six parameters: state transition matrix fai, input noise figure gama, observation matrix H, enter noise variance Q, observation noise variance R, observation y)

有记忆HPA的建模！am/am以及am/pm特性曲线！采用经典的saleh模型！(Modeling of HPA with memory! am/am and am/pm curve! Saleh model using classic!)