TLP250_datasheet_en_20170526

编辑框是常用控件之一，同时也是一种完全自实现较为繁琐的控件。本例实现了对编辑框的简单的自绘制，在保留其自身的强大功能的前提下，实现了编辑框的边框、背景、文字颜色以及禁用态的各种颜色的替换。 要想重绘，我们必须知道要绘什么。通过观察默认的编辑框我们可以很清楚的看到编辑框有三个最基础的部分需要我们绘制，他们分别是3D边框、背景和文字，再进一步分析我们会发现他们是一个基本窗口的两个部分，即客户区和非客户区。这样一来我们就知道应该用什么函数有针对性的绘制什么区域了，由于提供了源码，这里仅就基本原理和技术细节加以讨论，不过多地罗列代码。(Editor box is one of the common controls, and it is also a kind of control which is completely self-realization and tedious. This example realizes the simple self-drawing of the edit box, and realizes the replacement of the border, background, text color and various colors of the disabled state of the edit box while retaining its powerful function. To redraw, we must know what to draw. By observing the default edit box, we can clearly see that there are three most basic parts of the edit box that we need to draw. They are 3D border, background and text. Further analysis shows that they are two parts of a basic window, namely, client area and non-client area. In this way, we know which function should be used to draw which area. Since the source code is provided,)

计算离散序列的李亚普诺夫指数的程序，主要是混沌时间序列(The program for calculating the Lyapunov exponent of discrete sequences is mainly chaotic time series.)

针对非平稳信号进行进行分数阶傅里叶变换分析(Fractional Fourier transform analysis for non-stationary signals.)

说明：  语音增强或识别的语音源数据看IEEE_corpus(Speech Source Data for Speech Enhancement or Recognition,named IEEE_corpus)

Find MRI image edge with fuzzy logic

说明：  二型模糊方面的一篇论文，里面有降型过程的分类和代码(A paper on type II fuzziness, which contains the classification and code of the type reduction process)

说明：  小波神经网络的时间序列预测代码小波神经网络是结合 小波变换理论与人工神经网络的思想而构造的一种新的 神经网络模型，它结合了小波变换良好的时频局域化性质及神经网络的自学习功能，(Time series prediction code of wavelet neural networ Time series prediction using wavelet process neural network For example, Ding and Zhong used a wavelet process neural network to solve time series prediction problems)

说明：  LZW encoder and decoder

Embedded SD card Interface

国外嵌入式面试常见试题，快要毕业的朋友们，学习嵌入式的同志们，进来看看。-Embedded foreign common interview questions, about to graduate from friends, learning embedded Comrades, come take a look at.