DownUpSampling_ByFactor2.m

matlab工程数学。包括统计问题、规划问题、偏微分方程求解、样条工具。(matlab engineering mathematics. Including statistical issues, planning issues, partial differential equations, spline tool.)

解优化问题时常用的惩罚函数法，分为内点法和外点法两种，求解约束优化问题最优值。(Penalty function method, including interior point method and exterior point method, to solve the optimal value of constrained optimization problems.)

说明：  有关机动目标跟踪，卡尔曼滤波相关的资料，对从事卡尔曼滤波研究，机动目标跟踪的朋友有参考价值 (The maneuvering target tracking, Kalman filtering relevant information, engaged in Kalman filtering, target tracking friends have reference value)

说明：  m file for computing the eign values using matlab , it was a simple college project

WIMAX which used simulation for performance analysis

广义互相关函数来确定两个信号的时延差，时延定位相关程序(Generalized cross-correlation function to determine the time delay difference between the two signals, the delay positioning procedures)

交通流量预测数据集，某高速公路按天收集的交通流量。(Traffic flow forecasting data set, the traffic flow collected daily by a highway.)

autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2. The resulting autocovariance column vector acv is given by the formula: acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar) where X_bar and Y_bar are the mean estimates: X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i} It satisfies the following identities: 1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X) 2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)

一个MATLAB编的图像编码中的量化小程序,希望大家看了有用(A series of MATLAB Image Coding quantify small procedures, hope that we read useful)

模式分类的Matlab工具箱，各种实用算法(Pattern classification of the Matlab toolbox, various practical algorithm)