haar

说明：  for Runge-Kutta method

一种分布式多输入多输出正交频分复用(MIMO-OFDM)系统初始信号检测和同步捕获算法。(mimo-ofdm synthronizaion method)

求两张图像的平均值，比较求出的平均值与其中两张中的任意一张的效果(get the middle level of two images)

几个指向性的程序源码，包含线阵，，面阵与带加权的阵型 (Several directional program source code contains a linear array, planar array with weighted formation)

TOA估计定位，采用固定门限法比较不同虚警下的估计性能。(TOA estimation location, using a fixed threshold estimation performance comparison of different methods under false alarm.)

计算图像的平均梯度和边缘强度的matlab源码，M文件形式(Calculating the average image intensity gradient and the edge of the matlab source, M documents in the form)

关于压扩算法对系统误码率影响的理论推导,一篇比较有用的文献，推导过程很详细(On the theoretical derivation of the bit error rate of the system influence the companding algorithm, a useful comparison of the literature, the derivation process is very detailed )

signal synchronization in UWB receiver using TOA algorithm - makeParam

matlab单边带仿真与解调源码，北京邮电大学实验课参考(Simulation and single sideband demodulation matlab source, Beijing University of Posts experiment class Reference)

In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. Genetic algorithms find application in bioinformatics, phylogenetics, computational science, engineering, economics, chemistry, manufacturing, mathematics, physics, pharmacometrics and other fields.