stft

信号去噪的基本步骤： （1）信号的小波分解； （2）小波分解高频系数的阈值量化； （3）信号的小波重构。使用分解的低频系数以及阈值量化后的高频系数进行小波重构。 (The basic steps of signal denoising:( 1) of the wavelet decomposition of signals ( 2) the high frequency coefficients of wavelet decomposition threshold quantization ( 3) the signal wavelet reconstruction. Using the decomposition of the low frequency coefficient and threshold quantization the high-frequency coefficient after wavelet reconstruction.)

WSN DRAWING USING MATLAB SOFTWARE PACKAGE

the file is the algorithm used for the color based seganography with multiple compression algorithms

由给定高斯线型半高全宽，与洛伦兹线型半高全宽，计算对应的归一化的Voigt线型。(use the FWHM of Gaussin profile and Lorentz profile to caculate the voigt profile which is normalized by energy.)

Surfer是地学中常用的一个软件，可以完成等值线图，立体图，流向图等的汇制。其自带的类VBA的开发语言，可以进行二次开发。附件是一些源程序。其中的Jackknifes可以用来对比不同的内差方法，从而得出最优化的内差方法。 (Surfer is the study of a commonly used software, complete contour map, a three-dimensional map, map the flow of the system. Its built-in categories VBA programming languages that can be re-developed. Annex some source. Jackknifes which can be used for comparison within the poor, so as to come up with the most optimal way worse.)

无迹卡尔曼粒子滤波，有效的估计状态,ZHENHAO YONG(An unscented Calman particle filter is used to estimate the state effectively)

地震数据剖面显示程序，能将matlab数据按常规剖面显示（正值部分涂黑，负值部分不变）。(Seismic data profiles show program, matlab data can be displayed conventional profile (a time when parts blacked out, the negative part of the same).)

雷达中频回波仿真，对脉内起伏进行仿真，含脉内慢起伏和脉内快起伏(Radar IF echo simulation, simulation intrapulse downs, including slow downs and pulse-pulse fluctuations within the fast)

关于智能优化方法的一本很不错的参考书 可以参考(good book)

matlab code of A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artificial Intelligence 27 (2014): 228-235.(Luo, Minxia, and Kai Zhang. A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artificial Intelligence 27 (2014): 228-235.)