DispFusion

matlab 关于股票单项指标滚动预测神经网络源代码。大家可以根据自己的回归预测问题，进行改写，。只用于研究ELMAN神经网络的一般使用，不适合用于投资分析，误差较大，切忌。切忌。(a code of Elman netural network about predicating the stocks price.. it is free and easy..)

说明：  图像压缩去噪增强锐化程序，供大家参考。 包括：数字图像矩阵数据的显示及其傅立叶变换 二维离散余弦变换的图像压缩 采用灰度变换的方法增强图像的对比度 采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 图像的自适应魏纳滤波 运用5种不同的梯度增强法进行图像锐化 图像的高通滤波和掩模处理 利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理-(Sharpen Image Compression Denoising enhanced procedures for your reference. Include: digital image data display matrix and its Fourier transform two-dimensional discrete cosine transform image compression method using gray-scale transformation of the contrast-enhanced images using two-dimensional median filter function by medfilt2 of salt and pepper noise image filtering using MATLAB The function affected by noise interference filter2 images mean filter Adaptive Image Filtering Wehner use five kinds of different gradient method to enhance image sharpening images of high-pass filtering and mask treatment using Butterworth (Butterworth) low pass filter noise by smoothing the images deal with the use of Butterworth (Butterworth) high-pass filter for sharpening images treatment)

Markov随机场的例子程序,对于初学MRF的人很有用,能得到直观的印象(Markov random sample program, for the beginner who MRF useful to get an intuitive impression)

This ZIP file includes the algorithm for hiding the text file in image with LSB.

很炫的抽屉式侧边栏导航效果，精选ios编程学习源码，很好的参考资料。(Drawer type sidebar navigation effect of cool, selection of learning IOS programming source code, a good reference.)

Beamforming Example problem using Minimum Variance Distortionless Response (MVDR) approach with a Uniform Linear Array (ULA) of five elements and interference and noise.

实现信号LMS处理，并输出波形，能够实现信号的处理，可用于声音的处理(It can realize signal LMS processing and output waveform. It can realize signal processing and can be used for sound processing.)

医学信息编码标准，很贵呀；医学信息编码标准，很贵呀；(用于医疗软件开发的行业标准)

Substation panel electrical parameters comptation

本文来自卡尔曼发表的一篇论文，分析维纳滤波不足的基础上，发表的最优估计算法(This article from the Kalman published a paper, analysis based on the lack of Wiener filtering, published in the optimal estimation algorithm)