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lowerfilter
ex5_11 频率采样技术：低通，朴素法
ex5_12 频率采样技术：低通, 最优法T1 & T2
分别用朴素法和最优法，并且在时域和频域进行比较。(ex5_11 sampling frequency: low-pass, a simple method ex5_12 sampling frequency: low-pass, optimal method T1 & T2, respectively, and the optimal use of a simple law, and in time domain and frequency domain comparison.)
- 2009-07-16 18:30:26下载
- 积分：1
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第10章 随机神经网络
随机神经网络 Matlab实例+源代码，随机神经网络(Random neural network Matlab example + source code)
- 2021-04-02 10:49:07下载
- 积分：1
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Untitled
软阈值去噪程序。噪声为高斯白噪声，采用软阈值去噪算法可保证信号的能量。(noise)
- 2009-09-30 23:12:56下载
- 积分：1
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Matlab-programming-examples
Matlab编程实例,合适初学者学习,参考,编程,仿真,很有价值的(Matlab programming examples, suitable for beginners to learn, reference, programming, simulation, great value)
- 2011-09-14 15:34:54下载
- 积分：1
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DWT_hadamard
本程序实现Lena图像的压缩传感，测量矩阵为哈达玛测量矩阵，重构算法采用OMP重构算法(This procedure Lena image compression sensing, measurement matrix is Hadamard measurement matrix, reconstruction algorithm using OMP reconstruction algorithm)
- 2020-11-05 17:09:51下载
- 积分：1
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DAEdalon_v2.00
基于matlab开发的通用有限元软件的源程序部分，最新版本(Matlab-based general-purpose finite element software development source part, the latest version)
- 2013-10-19 10:41:34下载
- 积分：1
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pcaexpressprot
用matlab识现人脸表情识别的方法，对于初学者matlab以及研究人脸表情识别有很大的帮助(Matlab knowledge with Facial Expression Recognition is the way to matlab for beginners as well as facial expression recognition is very useful to)
- 2009-06-23 10:06:11下载
- 积分：1
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nf_conntrack_proto_gre
Connection tracking protocol helper module for GRE.
- 2014-08-20 11:23:33下载
- 积分：1
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yuece
matlab源程序代码，基于BP网络算法用于股票的预测，有修正的过程，过程中有些代码缺少！(matlab source code, based on BP neural network algorithm is used to predict the stock, during some of the code is missing! ! !)
- 2013-08-30 21:05:55下载
- 积分：1
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Fast-Tracking
“Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。(In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is posed by computing a confidence map, and obtaining the best target location by maximizing an object location likelihood function. The Fast Fourier Transform is adopted for fast learning and detection in this work. Implemented in MATLAB without code optimization, the proposed tracker runs at 350 frames per second on an i7 machine. Extensive experimental results show that the proposed algorithm performs favorably against state-of-the-art methods in terms of efficiency, accuracy and robustness.)
- 2014-06-23 15:06:17下载
- 积分：1
