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apply3d
Apply a function intended for one-dimensional usage independently to the three dimensionsof a 3-D array.
- 2010-06-30 20:17:34下载
- 积分:1
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CTest
C++TEST操作指南、中文介绍、运行时错误检测技术分析和比较、内存错误检测技术理论与实践(C++ TEST instructions, the Chinese introduced run-time error detection technology analysis and comparison, memory error detection technology theory and practice)
- 2010-11-02 09:28:18下载
- 积分:1
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DIT_FFT
非常实用的基2DIT-FFT函数,直接运行可以分析原理。(Very practical base 2DIT-FFT function, operation can be analyzed directly principle.)
- 2010-06-16 10:14:16下载
- 积分:1
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LTE--channel_models
说明: LTE上行,下行信道模型
LTE--channel_models
FROM LTE_System_Level_1.0_r247
(LTE--channel_models
FROM FROM LTE_System_Level_1.0_r247
)
- 2010-03-31 15:13:40下载
- 积分:1
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MTALAB
本文 是 基于MATLAB的滤波器的设计(This article is based on the MATLAB filter design)
- 2007-10-29 17:16:34下载
- 积分:1
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stft
跳频信号的短时傅里叶变换时频分析,在脉冲噪声干扰下的拟制噪声处理,并进行参数估计分析效果。(Short-time Fourier transform of frequency hopping signal time-frequency analysis, artificial noise under pulse noise processing, and analysis of parameter estimation results.)
- 2015-10-03 16:57:18下载
- 积分:1
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GA_PSO_Optimization
ga和pso的算法,梁结构的拓扑优化,源程序引自文献,加入对应参数(ga and pso algorithm, topology optimization of beam)
- 2016-06-25 15:12:16下载
- 积分:1
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Rayleigh-Fading-with-doppler-effect
Modeling Rayleigh Fading with doppler effect
- 2011-08-04 23:11:04下载
- 积分:1
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06102001
机器学习》课上的作业,PCA和LDA降维,尽管网上很多,但很少注释,另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器,大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数,不是百分比!-" (Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but few notes, on the other did not pay attention to details. Here there is a very detailed notes. In addition, attach a Naive Bayesian classifier, we can compare. Fringe image packages are OLR )
- 2012-02-29 12:30:20下载
- 积分:1
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第01章
MATLAB计算机视觉与深度学习实战-运行视频(As a biological technology, face is difficult to be stolen and
infection-free. In addition to that, it enjoys the authentication concealment and
is never forgotten. Therefore, authentication based on face recognition will
become the mainstream of future development. It has important and extensive
application in various fields, and is also a hot topic at present biological
characteristics identification technology research. Under the non-restrictive
condition, the face recognition rate is not high, and its accuracy needs to be
further improved. In this paper, the following aspects is analyzed)
- 2018-06-04 22:13:05下载
- 积分:1