WENO_1D_scheme

algo de fourier para entretenerse

Deasonalize the data adn agian seasonalize it.

线形调频信号特性仿真，包括其频率特性，脉冲压缩特性等(Simulation of linear FM signal characteristics, including their frequency, pulse compression characteristics)

说明：  做一个K均值聚类和模糊C均值聚类，发现了一些东西(Do a K-means clustering and fuzzy C-means clustering)

ＧＳＭ，ＰＳＫ调制的Ｍａｔｌａｂ代码，可以使用的，免费提供给大家＠(ＧＳＭ，ＰＳＫ　ｍｏｄｕｌａｔｉｏｎ ｍａｔｌａｂ　ｃｏｄｅ，ｃａｎ　ｂｅ　ｕｓｅｄ　ｉｎ　ｔｈｅ　ｄｅｓｉｇｎ．)

application与config对象。李兴华老师上课的笔记，具体在优酷上可以搜到。配套使用(application and the config object. Li Xinghua teacher in the class notes, specifically in the superior can be found to cool. Supporting the use of)

EM Wave propagation and antenna analysis m-files:

里面的文档详细阐述了LMS原理，包括常用的仿真方法，并附有使用LMS方法的自适应滤波的实例matlab仿真程序。(The document inside expounds the principles of the LMS in detail, including the simulation methods and a matlab simulation program of an adaptive filtering by using the LMS method.)

这是一个复制期权的matlab程序，内部有随机股价模拟，和delta对冲。(this is a program to do delta heging, and stochastic stock prices simulating )

“Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。(In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is posed by computing a confidence map, and obtaining the best target location by maximizing an object location likelihood function. The Fast Fourier Transform is adopted for fast learning and detection in this work. Implemented in MATLAB without code optimization, the proposed tracker runs at 350 frames per second on an i7 machine. Extensive experimental results show that the proposed algorithm performs favorably against state-of-the-art methods in terms of efficiency, accuracy and robustness.)