Video-Stabilization-master

寻找测试样本的最近邻，可以有效的用于用于模式识别，信号处理(This is a small but efficient tool to perform K-nearest neighbor search, which has wide Science and Engineering applications, such as pattern recognition, data mining and signal processing. The code was initially implemented through vectorization. After discussions with John D Errico, I realized that my algorithm will suffer numerical accurancy problem for data with large values. Then, after trying several approaches, I found simple loops with JIT acceleration is the most efficient solution. Now, the performance of the code is comparable with kd-tree even the latter is coded in a mex file. The code is very simple, hence is also suitable for beginner to learn knn search.)

说明：  matlab高级讲义，可以使你快速提高matlab技能(matlab senior notes, you can rapidly improve your skills in matlab)

利用迭代法实现图像阈值分割，简单好用，自带matlab图像直接运行(terative method to achieve image segmentation, easy to use, comes directly run matlab image)

Modeling mama barfi tisko Simulink

有限干扰下的单向中继选择；基于多种选择策略 有篇比较好的paper 还有就是仿真的程序 test4是最后两个图的 有点小问题 (Limited interference unidirectional relay selection strategy papers based on multiple choice paper there is a better simulation program test4 last two graphs is a little problem)

forming of a signal, GLONASS system, coherent reception, graph autocorrelation, crosscorrelation function, bit-error probability[SNR]

本文先用灰色GM(1,1)模型对陕西省GDP 做预测, 经过检验, 再用此模型确定另外一些未知指标, 最后通过确定的这些指标用 灰色GM(1,N)模型作预测, 通过比较总结两种模型各自的特点, 从而科学的指导陕西省经济发展,国内生产总值预测模型具有重要的现实意 义。 (This article first gray GM (1,1) models do forecast GDP of Shaanxi province, on examination, then this model to determine other unknown targets, and finally through the identification of these indicators of gray GM (1, N) model for prediction, by Comparison of two models summarize the characteristics of their own, so the guidance of scientific economic development in Shaanxi Province, China' s GDP forecast model has important practical significance.)

说明：  讲述了ANFIS构建的Matlab程序，具有一定的实用性和理论意义。(Tells Matlab built ANFIS procedure has certain practical and theoretical significance.)

本程序对同一文本在不同语言版本（英语，德语，芬兰语）下的单词频率进行统计，来检测齐夫定律(Zipf s law)在不同语言下的变化。(This procedure of the same text in different languages ​ ​ (English, German, Finnish) the word frequency statistics, to detect Zipf' s law (Zipf' s law) in different languages ​ ​ under the changes.)

本程序根据训练好的网络文件ANN.mat预测新的数据文件，得到均方误差，并画出预测数据和原数据的对比图。(the procedures under the trained network file ANN.mat anticipating new data files, to be mean-square error. and the mapping out of the original forecast data and the map data comparison.)