ch01_2ed

语音、图像等相关处理，如加躁去噪，频谱、幅度图，二值灰度图等(Voice plus noise denoising, image plus noise denoising, and image reversal, two values ​ ​ of other treatment)

粗糙集中信息上与条件信息熵的计算代码程序，使用matlab编写而成的(The information entropy and cond entropy of rough set calculation code, and the use of matlab program,and that is all . )

《雷达系统设计matlab仿真》书中的 matlab程序代码（4~6章） 【美】Bassem R.Mahafza 著 朱国富等译 电子工业出版社(" Matlab radar simulation system design," the book of matlab code (Chapter 4 ~ 6) London and New York Bassem R. Mahafza with Guofu, M. Electronic Industry Press)

The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data and data that is consistent with the model. There are three main classes of functions in the toolbox: transformation functions, misfit computation functions, and approximation functions. The approximation functions derive an approximate model from data, the misfit computation functions are used for validation and comparison of models, and the transformation functions are used for deriving one model representation from another. KEYWORDS: Total least squares, generalized total least squares, software implementation.

在matlab中调用java的程序，简单好用，希望能帮助需要的人(using java program in matlab )

single tank level control using pid

区块定位内容滑动，scrollTo页面锚点平滑移动插件JQ系列，点击页面中的链接，可控制某区域内的图片或文字内容平滑滚动，挺实用的功能。(Content sliding block positioning, scrollTo page anchor to move smoothly plug JQ series, click on the link in the page, you can control the image or text content within a region smooth scrolling, very useful features.)

MATLAB GUI 学习笔记 新手入门使用(MATLAB GUI study notes for beginners to use)

s平面中直接形式到级联形式的转换 ％适合模拟滤波器的 ％C为增益系数 ％B为包含各bk的K乘3维实系数矩阵 ％A为包含各ak的K乘3维实系数矩阵 ％b为直接形式的分子多项式系数 ％a为直接形式的分母多项式系数(s-plane in the direct form and cascade form of analog filters suitable for conversion of C for the gain coefficient B to include the bk of the K x 3-dimensional real coefficient matrix A to include all of K by ak real 3-dimensional coefficient matrix b for direct forms of molecular polynomial coefficients a direct form of the denominator polynomial coefficients)

the noise deteriorates the interpolation performance in digital images, it is effective to employ denoising prior to the interpolation. In this paper, we propose a novel interpolation framework in which denoising and image sharpening methods are embedded. In the proposed framework, the image is first decomposed using the bilateral filter into the detail and base layers which represent the small and large scale features, respectively. The detail layer is adaptively smoothed to suppress the noise before interpolation and an edge-preserving interpolation method is applied to both layers. Finally, the high resolution image is obtained by combining the base and detail layers. Experimental results show that the proposed algorithm outperforms the conventional methods