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A Filter
A Filter-Bank-Based Kalman Filtering Technique for Wavelet Estimation and Decomposition of Random Signals.pdf
- 2023-03-31 19:15:03下载
- 积分:1
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tc3.0 prepared with a drawing program, leaves for graphics, dynamic display
用tc3.0编写的一个画图程序,图形为叶子,动态显示-tc3.0 prepared with a drawing program, leaves for graphics, dynamic display
- 2022-08-07 16:06:21下载
- 积分:1
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用两个窗口实现三维物体显示的源程序,编程环境为.net2003和d3d。...
用两个窗口实现三维物体显示的源程序,编程环境为.net2003和d3d。-Realize two windows with three-dimensional objects displayed on the source code, programming environment. Net2003 and d3d.
- 2022-03-26 01:04:52下载
- 积分:1
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LEQM是高
LEQM是一个高级绘图系统,用于显示内存中EverQuest世界的信息。 来源:http://sourceforge.net/projects/leqm/ -LEQM is a high-level cartography system, uses in to demonstrate
in the memory the EverQuest world information. Origin:
Http://sourceforge.net/projects/leqm/
- 2022-02-22 04:32:22下载
- 积分:1
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基于ORL人脸库的主元分析法用于人脸识别
基于ORL人脸库的主元分析法用于人脸识别-ORL face database based on the principal component analysis method for face recognition
- 2022-02-27 07:36:37下载
- 积分:1
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一个简易的浏览器的源代码
一个简易的浏览器的源代码-a simple browser source code
- 2022-03-21 07:23:54下载
- 积分:1
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最新MP3电路图。
最新MP3电路图。-latest MP3 circuit.
- 2022-01-25 21:31:11下载
- 积分:1
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一个好用的绘制三维图形的vc程序
一个好用的绘制三维图形的vc程序-A wonderful vc program for plot 3D graph
- 2022-07-01 13:26:08下载
- 积分:1
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边沿检测与提取,轮廓跟踪 source目录下为源程序 功能是边沿检测与提取,轮廓跟踪 命令行编译过程如下 vcvars32 rc bmp.rc cl edge....
边沿检测与提取,轮廓跟踪 source目录下为源程序 功能是边沿检测与提取,轮廓跟踪 命令行编译过程如下 vcvars32 rc bmp.rc cl edge.c bmp.res user32.lib gdi32.lib 注意事项: 运行时,文件c: est.bmp必须存在-edge detection and extraction, contour tracking source directory function is the source for edge detection and extraction, contour tracking command line compiler process following vcvars32 rc bmp.rc cl edge.c bmp.res user32.lib gdi32.lib Note : running, documents c : test.bmp must exist
- 2023-08-04 03:00:03下载
- 积分:1
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The spectrum sensing of a wideband frequency range is studied by dividing it int...
Cognitive radio frequency spectrum detection-The spectrum sensing of a wideband frequency range is studied by dividing it into multiple subbands.
It is assumed that in each subband either a primary user (PU) is active or absent in a additive white Gaussian
noise environment with an unknown variance. It is also assumed that at least a minimum given number of
subbands are vacant of PUs. In this multiple interrelated hypothesis testing problem, the noise variance is
estimated and a generalised likelihood ratio detector is proposed to identify possible spectrum holes at a
secondary user (SU). Provided that it is known that a specific PU can occupy a subset of subbands
simultaneously, a grouping algorithm which allows faster spectrum sensing is proposed. The collaboration of
multiple SUs can also be considered in order to enhance the detection performance. The collaborative
algorithms are compared in terms of the required exchange information among SUs in some collaboration
- 2022-04-01 19:11:06下载
- 积分:1