ocr_Stroke

Achievo ATK 是一个以提升开发速度为其核心目标的业务框架。该框架的所有部分都以减少应用程序代码为目标。它没有提供大量工具类以实现广泛的功能，而是提供了一个通用 框架来减少代码。所有新增特性都经过慎重考虑 — 只有它们在某些地方能够降低开发时间才添加。 Achievo ATK 新特性的添加在某种程度上来说是一种演进式开发。没有专门负责开发新特性的团队；而是基于使用该框架的应用程序的要求来对其进行扩展。 (Achievo ATK is an upgrade to speed the development of the core objectives of the operational framework. The framework All parts are to reduce application code as a target. It did not provide a large number of tools to achieve the broad category of the function, but to provide a general framework to reduce code. All these new properties are the result of careful consideration- they are only in certain areas to reduce the development time to add. Achievo ATK new properties added to a certain extent, this is an evolutionary development. Not specifically responsible for the development of new properties team; It is based on the use of the framework of the application's requirements for its expansion.)

：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多 特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究， 提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一 种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒性问题。 为进一步提高对快速运动目标的跟踪速度和跟踪性能，该文引入了卡尔曼滤波器对目标进行预测。实验结果表明， 该文的算法在目标定位的准确性和跟踪性能上比Mean Shift 算法均有明显的提高。(: In this paper, the texture characteristics of the local ternary patterns Local Ternary Patterns (LTP) Mean Shift tracking algorithm proposed Mean Shift face tracking algorithm based on multiple features in order to solve the Mean shift tracking algorithm robustness. Texture characteristics of LTP analysis, research, a key LTP texture model, not only enhanced the key goal of texture information, but also simplifies the the LTP texture model. On this basis, based on the LTP key texture features and color characteristics Mean Shift face tracking algorithm, effectively solved the robustness of the Mean Shift algorithm. To further enhance the fast-moving target tracking speed and tracking performance, this paper introduces the Kalman filter to predict the target. The experimental results show that the algorithm of the text in the target positioning accuracy and tracking performance than the Mean Shift algorithm to significantly improve.)

Various ASK models and Matlab codes. For M=4, M=8 and with some channels (Rician, Rayleigh, AWGN..)

说明：  对用BP算法所进行的神经网络进行仿真、训练。模拟综合出我们所需要的结果。(BP algorithm by using the neural network simulation and training. Analog synthesis we need results.)

一种K-均值算法附有测试数据，希望给学习聚类的提供一点帮助(One kind of K-means algorithm with test data, clustering offers hope to learn a little help)

关于PCA的仿真数据生成及故障信噪比（SNR）的主元选取方法仿真代码。(About PCA generated simulation data and fault signal to noise ratio (SNR) of the main element simulation code selection method.)

Direct Sequence cdma

This is the code for license plate recognition.

Matlab 时频分析技术及其应用Matlab 时频分析技术及其应用Matlab 时频分析技术及其应用(Matlab 时频分析技术及其应用)

使用matlab的GUI功能编写的一个计算器，可以方便快捷的使用(the Calculator program by matlab )