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the matlab codes for sampling audio file and filtering it.

bilinear zoom, subpixel technique for image processing

用MATLAB实现，基本的图形变换、图像的各种滤波、平滑、锐化、图像的直方图变换(Basic graphics transformation, the image of a variety of filtering, smoothing, sharpening, image histogram)

说明：  是处理噪声的一个小程序很有用，希望对大家有所帮助(To deal with noise, a small program useful and want to help everyone)

The Steep Descent Method

由于最近做一个项目需要对MATLAB电路图做测试，且需要满足MCDC且覆盖每个门，由于 手工生成非常麻烦而且也容易出错，所以做了个工具来自动生成测试用例(With the recent need to do a project on the MATLAB test circuit, and the need to meet and MCDC coverage of each door, hand-generated as a result of a very troublesome and error-prone, so do a tool to automatically generate test cases)

宽带CFB算法 选择合适带宽 得到相应结果(CFB algorithm choose the right broadband bandwidth of the corresponding results obtained)

“模拟退火”算法是源于对热力学中退火过程的模拟，在某一给定初温下，通过缓慢下降温度参数，使算法能够在多项式时间内给出一个近似最优解。退火与冶金学上的‘退火’相似，而与冶金学的淬火有很大区别，前者是温度缓慢下降，后者是温度迅速下降。(Simulated Annealing)

Today, there is almost no area of technical endeavor that is not impacted in some way by digital image processing.We can cover only a few of these applications in the context and space of the current discussion. However, limited as it is, the material presented in this section will leave no doubt in the reader’s mind regarding the breadth and importance of digital image processing.We show in this section numerous areas of application, each of which routinely utilizes the digital image processing techniques developed in the following chapters. Many of the images shown in this section are used later in one or more of the examples given in the book. All images shown are digital.

用得最多的是最近邻，此处上传的是K-近邻，即k＝1。matlab环境下的代码。附有实例。(used most often is the nearest neighbor, here is uploaded K-neighbor, k = 1. Matlab environment code. With examples.)