kalman

Fiber wireless communication system using matlab

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)

这是一个脑电信号分析的matlab工具箱软件使用说明，希望对大家有益！(matlab eeglab-currrent book)

本程序对天线中的一种重要类型： 半波、全波、三倍半波天线波瓣图 进行了仿真和三维成像。有助于对天线中波瓣图的理解。(This procedure of an important type of antenna: half wave, full-wave, three times the half-wave antenna lobe pattern simulation and three-dimensional imaging. Contribute to the understanding of the antenna lobe pattern wave.)

国际会议上的关于人耳图像识别的论文： 改进的局部线性嵌入多姿态耳识别方法(MULTI-POSE EAR RECOGNITION BASED ON IMPROVED LOCALLY LINEAR EMBEDDING)

基于Maximum likelihood准则的ICA算法 (the ICA algorithm based on Maximum likelihood)

design of: 1.butterworth bandpass filter 2.butterworth bandstop filter 3.butterworth lowpass filter 4.butterworth highpass filter for the given specifications using matlab design of: 1.hilbert transformer 2.differentiator using matlab frequency response of lowpass filter using kaiser window in matlab representation of basic signals using matlab convolution of two sequences using matlab

AUV仿真模型范围如果二等功个埃尔文一个区 微推广3期 耳朵软听歌(AUV simulation model)

说明：  ofdm条件下的MIMO系统代码，有利于分析信道特性，是比较基础的一个模拟系统。(ofdm MIMO system under the code, facilitate analysis of channel characteristics, it is more based on a simulation system.)

基于matlab编程的EMD分解(转载)(the EMD of MATLAB)