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2sbdart_code
SBDART,一种辐射传输模式的源代码。它比较基础，适合本科研究生阶段开展传输模式反演大气参数，的上手软件。(A useful tool for RTM.)
- 2020-11-04 16:39:52下载
- 积分：1
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Algorithm notes
算法笔记书籍上每一章节每一小节出现的算法题目的源代码。(The source code of the algorithm Title appearing in each chapter and section of the algorithmic notebook.)
- 2019-01-30 18:06:07下载
- 积分：1
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optimum_array_processing
最优阵列信号处理一书中的源代码，对于学习阵列信号处理的人来说，是很不错的资料(Optimal array signal processing, a book' s source code, array signal processing for the study of people, it is very good information)
- 2009-02-28 13:54:21下载
- 积分：1
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Windows+WDM+driver
这是Windows Driver Model(WDM)一书中各个章节的所有示例源代码。 (This is the Windows Driver Model (WDM), a book of all the examples of the various sections of the source code.)
- 2008-07-15 12:57:16下载
- 积分：1
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memory
c++模板源码中的第一章节memory，方便你学习时参考，应该会对你有所帮助(c++ template source in the first section of memory, easy reference when you learn, it should be will help you)
- 2009-01-07 11:11:07下载
- 积分：1
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Visual-CPPjiaocheng-tongbuyuanma
visual c++ 同步书籍源代码(visual c++ source code synchronization books)
- 2011-07-07 17:58:12下载
- 积分：1
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VcDeepCode
vc++深入详解（第四版）的数据源代码，具有参考价值(vc++ in-depth Xiangjie (fourth edition) data source code, with a reference value)
- 2009-11-04 16:13:42下载
- 积分：1
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vc
说明： 实效编程百例,包含了用vc开发的各方面的源代码。(100 cases of the effectiveness of programming, including using vc development of all aspects of the source code.)
- 2008-09-13 17:33:29下载
- 积分：1
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hrms_Attendance_AbsentSummary_Departmentwise
vfsdfg dgrdg grgdgd fvfvfv
- 2017-05-18 20:18:33下载
- 积分：1
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Sparse image and signal processing
这本书在稀疏的多尺度图像和信号处理提出了艺术状态，包括线性多尺度变换，如小波，脊波和曲波变换、非线性、多尺度变换基于中值和数学形态学算子。最近的稀疏性和形态多样性的概念描述和利用各种问题，如去噪，反问题正规化，稀疏信号分解，盲源分离，压缩感知。
这本书的理论和实践研究相结合的领域，如天文学、生物学、物理学、数字媒体应用和取证。最后一章探讨了信号处理中的一个范式转换，表明以前的信息取样和提取的限制可以用非常重要的方法加以克服。
MATLAB和IDL代码伴随这些方法和应用程序重现。
实验并说明了在相关网站上可下载的研究的推理和方法。(This book presents the state of the art in sparse and multiscale image and signal processing,
covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms,
and non-linear multiscale transforms based on the median and mathematical
morphology operators. Recent concepts of sparsity and morphological diversity are described
and exploited for various problems such as denoising, inverse problem regularization,
sparse signal decomposition, blind source separation, and compressed sensing.
This book weds theory and practice in examining applications in areas such as astronomy,
biology, physics, digital media, and forensics. A final chapter explores a paradigm
shift in signal processing, showing that previous limits to information sampling and
extraction can be overcome in very significant ways.)
- 2018-02-03 10:52:17下载
- 积分：1
