dosc

FPEXTRACTDEMO 指纹特征提取演示程序 一个完整的指纹特征提取程序。包括常用的所有算法... 选项： - Centralize: 二值化图像，计算中心点 - Crop: 图像修剪 - Sectorize: 可视化扇形 - Normalize: 归一化输入图像 - Gabor filters: 可视化Gabor滤波器 - Convolute: 计算输入图像和Gabor滤波器的convolution - Features: 特征可视化 - FingerCode: 在数据库中加入该指纹 - Check: 指纹匹配(Fingerprint Feature Extraction FPEXTRACTDEMO demo program a complete fingerprint feature extraction procedures. Including all the algorithms commonly used options ...:- Centralize: binary image, Center Point- Crop: image pruning- Sectorize: Visualization fan- Normalize: normalized input image- Gabor filters: Visualization Gabor Filter- Convolute: Calculation of the input image and Gabor filter convolution- Features: Characteristics of visualization- FingerCode: in the database to join the fingerprint- Check: Fingerprint matching)

直接序列扩频DSSS， 跳频扩频FHSS， 码分多址CDMA编译码， 的实现(the realization of Direct Sequence Spread Spectrum DSSS, frequency hopping spread spectrum FHSS, Code Division Multiple Access CDMA codec, )

基于Matlab的小车停车位模糊控制模型，通过使用Matlab工具箱中的模糊控制工具箱设计了将小车安全可靠地停到划定的停车位置上。(Matlab-based fuzzy control model of car parking spaces, by using the Matlab toolbox in the fuzzy control toolbox designed to stop the car safely and securely to the designated parking position.)

matlab—pdf-tool matlab的偏微分工具箱(Matlab- pdf-tool partial differential Matlab Toolbox)

MATLAB7.0编程学习资料，编程必备学习资料，解决数学问题，英文文章，适合英文比较强的人使用(MATLAB7.0 programming learning materials, programming essential learning materials, and solving math problems, English articles, suitable for strong English)

power_SLmodeling.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_SLmodeling.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

内含Newtonback.m，Newtonforward.m文件，牛顿插值法，向前向后插值。(Intron Newtonback.m, Newtonforward.m documents, Newton)

大量实验表明,提出的方法对同种传感器或者不同传感器图像之间的配准都是有效的。 提出了一种新的基于角点检测的图像配准方法,其核心思想是采用一种快速的 基于图像灰度的角点检测新算法,通过沿圆弧曲线扫描获取角点信息,然后根据这些 角点信息建立图像间角点的对应关系,并由此得到初配准参数,最后通过迭代过程以 提高配准的精度. 理论分析和实验结果表明,该算法对图像间的旋转角度没有限制, 配准精度高而且计算量较小. (Experiments show that the proposed method on the same kind of sensor or between the different sensor image registration is valid. A new corner detection based image registration method, the core idea is to use a fast gray-based new algorithm for corner detection, scanning through the curve along the arc for corner information, and then based on these corner information to establish image correspondence between the corners, and thus be the beginning of registration parameters, and finally through the iterative process to improve the accuracy of registration. Theoretical analysis and experimental results show that the algorithm is rotation between the image does not limit , registration accuracy and less computation.)

利用MATLAB语言编写的ART2网络函数及调用的例子(ART2 neural network function using MATLAB language and call example)

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