ArithmeticCoding

GaborFilter的应用,挺好的M文件(GaborFilter)

一个关于秩和比的源代码，很有用的。快来试试吧！！(One on RSR source code, very useful)

小波分析是目前数学中一个迅速发展的新领网域，它同时具有理论深刻和应用十分广泛的双重意义。信号处理的目的就是：准确的分析、诊断、编码压缩和量化、快速传递或存储、精确地重构（或恢复）。(Wavelet analysis is a rapidly developing new collar domain in mathematics, which has both theoretical significance and profound and extensive application. The purpose of signal processing is: accurate rapid analysis, diagnosis, coding and quantization, transmission or storage, accurate reconstruction (or recovery).)

switching median filter for removing impulse noise

说明：  《先进PID控制 MATLAB仿真(第二版）》一书的源程序("advanced PID control MATLAB (2nd edition)," a book of the source)

包括无监督和监督的机器学习技术 • K-means and other clustering tools • Neural Networks • Decision trees and ensemble learning • Naï ve Bayes Classification • Linear, logistic and nonlinear regression(Highlights include unsupervised and supervised machine learning techniques including: • K-means and other clustering tools • Neural Networks • Decision trees and ensemble learning • Naï ve Bayes Classification • Linear, logistic and nonlinear regression)

基于FFT 和专家系统的BLDCM 系统故障检测与识别.pdf(Fault detection and identification for dual-redundant BLDCM system using FFT algorithm and expert system approach)

机械优化设计及数值计算中常用的黄金分割法源程序 为M函数文件 需要调用该函数 方可运行(Optimal Design of mechanical and numerical calculation of the golden section method commonly used for the M function source file may need to call this function to run)

摘要 该文主要考虑利用图像噪声再生技术来提取图像细节 其思想是利用被滤除的噪声信号进行回收再利用 通过对噪声信号和初步去噪信号进行小波变换 比较它们的小波系数 当噪声信号的小波系数达到一定的阈值时 将噪声信号的小波系数保留叠加至初步去噪信号的小波系数 然后利用传统的软阈值去噪的方法来进行图像的去噪 从而达到既能够去除噪声 又能保留图像细节的目的 实验证明 该方法较传统的方法在去噪和细节保持上有改进(Abstract In this paper, consider using images to extract the noise regeneration of its ideological image detail is the use of the noise signal was filtered to recycle through the noise signal and the initial wavelet transform de-noising signal comparison of their wavelet coefficients of the wavelet signal when the noise coefficient reaches a certain threshold will be the noise signal superimposed to the wavelet coefficients to retain the initial de-noising signal wavelet coefficients and then using the traditional soft-threshold denoising approach to image denoising in order to achieve the removal of noise can not only be able to retain The purpose of image detail that the methods of the experiment a more traditional approach to denoising and detail in there to keep improving)

Script de Histogramas para Imagenes