DEKF

SVM算法的示例程序,帮助读者理解SVM算法的使用(the use of SVU，to help reader undstander how to user this methods)

用matlab实现音乐键盘功能的源代码加自编代码 可实现单双音转换(music pianio)

基于平均法的boost型DC/DC建模步骤，包括电压模和峰值电流模。增加了误差放大器放大倍数的确定，电源调整率，负载调整率和三种变换器的一阶等效模型(Based on the average of the boost-type DC/DC modeling steps, including the voltage mode and peak current mode. An increase of the error amplifier to determine the magnification, adjust the rate of power supply, load-adjusted factor and three first-order equivalent converter model)

java与matlab编程的例题。想要做类似工程项目的人员可以参考哦。(java and matlab programming examples. Want to do similar projects can reference Oh.)

说明：  求两幅图像的峰值信噪比PSNR值和归一化相关系数NC值(Find two images PSNR PSNR values ​ ​ and the normalized correlation value NC)

对粗曲线细化处理，对图像进行平滑去噪，中值滤波去噪，数学均值去噪。(Crude curve refinement processing, image denoising, the median filter denoising, mathematical mean denoising.)

The basic steps of the connected-component text extraction algorithm are given below, and diagrammed in Figure 10. The details are discussed in the following sections. 1. Convert the input image to YUV color space. The luminance(Y) value is used for further processing. The output is a gray image. 2. Convert the gray image to an edge image. 3. Compute the horizontal and vertical projection profiles of candidate text regions using a histogram with an appropriate threshold value. 4. Use geometric properties of text such as width to height ratio of characters to eliminate possible non-text regions. 5. Binarize the edge image enhancing only the text regions against a plain black background. 6. Create the Gap Image (as explained in the next section) using the gap-filling process and use this as a reference to further eliminate non-text regions the output.

(Decentralized Fused Covariance Type Kalman Filter)

经验模态分解（EMD）方法（平稳化过程）是一种全新的处理非平稳数据序列的方法，其基本思想是：假如一个原始数据序列X(t)的极大值或极小值数目比上跨零点（或下跨零点）的数目多两个（或两个以上），则该数据序列就要进行平稳化处理(Empirical Mode Decomposition (EMD) method (a smooth process) is a new deal with non-stationary data sequence method, the basic idea is: If a raw data sequence X (t) the maximum or minimum number of than the cross-zero (or under the cross-zero) number more than two (or more), then the data is necessary to carry out a smooth sequence of treatment)

Two-Phase Kernel Estimation for Robust Motion Deblurring