matlab

图像线性滤波、热传导方程滤波、Gabor图像锐化和动态边界算法(Image filtering, heat conduction equation filter, Gabor image sharpening algorithms and dynamic boundary)

说明：  用新的参数估计方法对正态分布的delta和α进行更为准确的估计。(With a new method of parameter estimation of the delta-normal distribution and α for a more accurate estimate.)

this is codes for FATI and FITA fuzzy system models

基于准KLT 域的线谱对参数压缩感知量化研究.pdf(Compression parameters based on the line spectrum of the quasi-KLT domain perception of the quantitative research. Pdf)

地球物理电法一维电测深正演系统。通过输入地层数，每一层地层厚度，每一层地层电阻率来进行正演(The geophysical method one-dimensional power forward sounding system. Input to the number of layers, each layer stratigraphic thickness of each layer formation resistivity forward)

实现希尔伯特-黄变换的功能，并带有一段测试数据。希尔伯特-黄变换是使用EMD分解将信号分解为本征模态函数（IMF），然后求得IMF分量的瞬时频率。其对于非稳态和非线性信号具有优良的效果。(The function plot_hht is a realization of the Hilbert-Huang transform (HHT). The HHT decomposes a signal into intrinsic mode functions (or IMFs), and obtain the instantaneous frequency data. It is designed to work well for data that are nonstationary and nonlinear.)

SkewT分布是近年来得到广泛使用的一种参数化分布。区别于传统的正太分布、学生-t分布，SkewT分布除了具有厚伟特征之外，还引入了偏斜特征。该分布对于金融领域的研究与应用具有十分重要的价值。当然，也是一个重要的统计工具。SkewT分布由Bruce E. Hansen(1994)构造，本源码包括SkewT分布的密度函数、累计概率、随机数生成、理论矩。(SkewT distribution has been widely used recently. Different from traditional Normality and Student-t distribution, SkewT parameterizes both tail-thickness and skewness. SkewT is valuable to financial applications and studies, and other statistic tool. SkewT is firstly introduced by Bruce E. Hansen(1994). This package includes M files on the density of SkewT, CDF, random number generator and theoretical moments of SkewT.)

逆合成孔径雷达点目标速度估计和补偿程序，经运行，效果良好(Inverse synthetic aperture radar point target speed estimation and compensation program, after running to good effect)

24YJ48,28BYJ48,30BYJ46型步进减速电动机，主要应用于空调器(24YJ48, 28BYJ48 30BYJ46 stepping deceleration motor, mainly used in air conditioners)

fcnFrostFilter performs noise filtering on an image based on an adaptive filter proposed by Frost. [1] V. S. Frost, et al., "A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise," IEEE Trans. Pattern Anal., Machine Intell., vol. 4, no. 2, pp. 157-166, Mar. 1982.