SFCM2D

是改进平方根法和平方根法的matlab小程序可以学习用的(Is to improve the square root law and the square root of the matlab can learn to use a small program)

传统的近似三角形内点测试( APIT),即近似三角形内点测试定位算法,广泛应用于静态节点定位.结合粒子滤波提出改进算法,将APIT算法推广到节点动态定位.(Traditional approximate point inside the triangle test (APIT), namely the approximate point within the triangle test positioning algorithm, widely used in the static node localization. Combined with particle filter algorithm is proposed to improve the APIT algorithm is extended to the node dynamic positioning.)

encode and decode function

说明：  用于MATLAB来进行插值与拟合的处理，含有PPT介绍。(Used in MATLAB to carry out interpolation and fitting processing, containing PPT introduced.)

基于MATLAB来设计数字滤波器的各种源代码(Design of the filter)

说明：  灰色系统理论是研究解决灰色系统分析、建模、 预测、决策和控制的理论.灰色预测是对灰色系统 所做的预测.目前常用的一些预测方法（如回归分 析等），需要较大的样本.若样本较小，常造成较 大误差，使预测目标失效.灰色预测模型所需建模 信息少，运算方便，建模精度高，在各种预测领 域都有着广泛的应用，是处理小样本预测问题的 有效工具(Grey system theory is the research and solution of grey system analysis, modeling, The theory of prediction, decision - making and control At present, some commonly used prediction methods (such as regression score) If the sample size is small, it often results in a comparison Large error, so that the prediction of the target failure Less information, convenient operation, high modeling accuracy, in a variety of prediction collar Fields are widely used to deal with small sample prediction problems Effective tool)

lfm的MATLAB仿真，可以用于信号分析(lfm of the MATLAB simulation, can be used for signal analysis)

1.二值图像的fft分析 2.显示频谱图像，频谱的零频率系数被移到频谱中间 3.填充矩阵填充后的情况比较 4.绘图直观形象(1. Binary Image fft analysis 2. Image shows the spectrum, Spectrum coefficient of zero frequency spectrum has been moved to the middle three. Filled Filled matrix compared to the situation after four. Mapping visual image)

Asexual Reproduction Optimization continuous version matlab code

PDF+论文算法实现源代码"Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse"由莱斯利N.史密斯和迈克尔·埃拉德，IEEE信号处理快报（2013年）(PDF+ thesis algorithm source code " Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse" by the Er Ai Leslie N. Smith and Mike Ladd, IEEE Signal Processing Letters (2013))