ABS_Amesim

用matlab编写的用于车牌识别的程序，识别车牌，并辨认出字母和数字(Using matlab to prepare for license plate recognition program, identify license plates and identify letters and numbers)

Distribution system provides a final link between the high voltage transmission system and the consumers.To improve the overall efficiency of power system, the performance of distribution system must be improved. An important method of controlling bus voltage is by shunt capacitor banks at the buses at both transmission and distribution levels along lines or substation and loads

MIT做的matlab maping工具箱参考手册.内含丰富的例子和详细的程序讲解.对利用matlab做地图和GIS的人来说是一本不错的参考书!(MIT do maping Matlab toolbox reference manual. Intron rich and detailed examples explain procedures. Matlab done on the use of maps and the GIS is a good reference books!)

：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.)

matlab图像处理实例详解chap3——matlab图像处理基础(matlab image processing example explanation chap3- matlab image processing based on)

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

描述了LTE下行物理信道的信道编码的详细实现，包括CRC校验、turbo编码、咬尾卷积编码和速率匹配等。(Describes LTE downlink physical channel channel coding detailed implementation, including the CRC check, turbo encoding, tail-biting convolutional coding and rate matching.)

实现彩色图像增强，效果不错，是使用matlab编程的(Color image enhancement, the effect is to use the matlab programming)

使用RGB模型来进行人脸检测，识别的结果还可以，可以作为其他检测方法的对比(use RGB model for face detection and recognition of the results can also can serve as a contrast detection method)

基于模态振型的固定结合面动态特性参数测试 (Based on a fixed mode shapes combined with dynamic characteristic parameters of the test surface)