Taylor

说明：  小波分析 图像融合 决策树分类 matlab 源代码 (fusion image, classify)

Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components.

ACADO Toolkit is a software environment and algorithm collection written in C++ for au-tomatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control as well as state and parameter estimation. It also provides (stand-alone) eciently implemented Runge-Kutta and BDF integrators for the simulation of ODE s and DAE s.

discrete wavelet transform

基于matlab的不动点迭代法、二分法以及牛顿法求解方程，进一步优化了计算步骤。(Fixed point iterative method for solving equations based on Matlab)

qpsk调制在瑞利信道中的性能仿真，以及各个阶段信号的星座图仿真(qpsk modulation performance in Rayleigh channel simulation, as well as the various stages of signal constellation simulation)

该为matlab详尽学习资料，第七章“矩阵分析”(The details for the matlab learning materials, Chapter 7, " Matrix Analysis" )

说明：  <<现代信号处理教程>>(胡广书版)书中配套的matlab源代码。(this is a matlab code of the book called modem signal processing.)

一个二维的卡尔曼滤波程序，给定了状态方程和观测方程，对学习信息融合，滤波估计灯方面有积极的知道效果(A two-dimensional Kalman filtering process, given the state equation and observation equation, the study of information fusion, filtering light area is estimated to know there is a positive effect)

An e-book for learning MATLAB