-
main1
The document describes seismic signal processing. Main function is to extract the edge of the seismic signal.
- 2010-08-05 17:42:19下载
- 积分:1
-
pn_dopple
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)
- 2011-03-14 10:56:04下载
- 积分:1
-
tfrppage
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)
- 2008-10-13 10:48:10下载
- 积分:1
-
kalfilter
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.)
- 2009-10-11 22:04:09下载
- 积分:1
-
432
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)
- 2010-12-07 10:37:22下载
- 积分:1
-
RetrieveL2
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.
- 2013-10-06 15:08:52下载
- 积分:1
-
DS
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.)
- 2007-09-28 18:40:12下载
- 积分:1
-
DataCameraCal_random
generation of random data for camera calibration
- 2010-12-02 06:33:40下载
- 积分:1
-
Cluster-analysis
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)
- 2013-08-26 10:37:11下载
- 积分:1
-
gender
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.
- 2013-11-20 00:42:07下载
- 积分:1