micro

The document describes seismic signal processing. Main function is to extract the edge of the seismic signal.

说明：  pn序列多普勒估计 pn序列多普勒扩展 抗干扰技术应用能够 simulink的仿真分析(pn_dopple_estimation pn_dopple_despreading anti_interference simulink system)

说明：  page变换例程，可以对信号进行柯恩类时频分布中的page变换(page conversion routines, you can type on the signal time-frequency distribution of Cohen)

标准的卡尔曼滤波程序，使用matlab实现，程序中通过一个简单的模拟，说明了卡尔曼滤波器的跟踪滤波原理。(The standard Kalman filtering process, using matlab implementation, the program through a simple simulation illustrates the principle of Kalman filter tracking filter.)

matlab gui实例，创建一个窗口，绘制三维图像，创建按钮，修改颜色(matlab gui example, create a window, and modify the menu bar buttons)

In this i attached matlab code for image retrieval function by finding the distance between training and testing features and arrange it in according to ascending order.

说明：  ds证据理论实现数据融合，一 种 新 的 基 于 证 据 理 论 的 合 成 公 式，　论文作者，孙全， 电子学报。(ds realize data fusion theory of evidence, a new theoretical synthesis of evidence-based formula, authors, Sun Quan, the electronic Journal.)

generation of random data for camera calibration

聚类分析的案例，用maltab方法实现，修改可以使用(Cluster analysis of cases with maltab method, can be used to modify)

Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased face retrieval by constructing semantic codewords for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.