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digitalsignalprocessing
胡广书《数字信号处理-理论，算法和实现》第二版光盘内容，覆盖所有章节课后习题内容(Hu Guang book " Digital Signal Processing- theory, algorithms and implementation," Second Edition CD-ROM content, covering all sections of the content of after-school exercise)
- 2010-05-20 10:20:43下载
- 积分：1
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Jpeg_encoding
algorithm to encoding jpeg format
- 2010-01-24 00:48:24下载
- 积分：1
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B657_lec_edge
it is notes about edge detection and segmentation
- 2012-04-11 15:43:45下载
- 积分：1
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lfm
线性调频（LFM）脉冲压缩雷达仿真，里面有雷达信号的处理过程，包括原理(Linear FM (LFM) pulse compression radar simulation)
- 2010-06-18 14:40:40下载
- 积分：1
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Lab5
hardware implementation of digital filters for signal processor
- 2013-09-23 17:02:44下载
- 积分：1
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Adaptive_relaying
adaptive relaying technique its compared two relay types and subcarriers matching.
- 2014-02-26 04:54:57下载
- 积分：1
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fdtd2danalysis
FDTD analysis in two dimension using MATLAB environment....
- 2009-04-24 22:32:16下载
- 积分：1
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harvest
introductory look at what type of vibrations we might be dealing with when attempting to harvest ambient kinetic energy. The simplest type of vibration that could possibly occur, would be with a harmonic one, with a single frequency component at a constant frequency that does not change significantly in time.
- 2015-03-08 23:44:32下载
- 积分：1
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jaijao
有详细的注释，用平面波展开法计算二维声子晶体带隙,利用matlab针对图像进行马氏距离计算 。( There are detailed notes, Computation Method D phononic bandgap plane wave, Using matlab to calculate the Mahalanobis distance for the image.)
- 2021-04-07 20:29:01下载
- 积分：1
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EMD-Toolbox
EMD的Toolbox及使用方法
经验模态分解（Empirical Mode Decomposition, 简称EMD）是由美国NASA的黄锷博士提出的一种信号分析方法.它依据数据自身的时间尺度特征来进行信号分解, 无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。正是由于这样的特点, EMD 方法在理论上可以应用于任何类型的信号的分解, 因而在处理非平稳及非线性数据上, 具有非常明显的优势。所以, EMD方法一经提出就在不同的工程领域得到了迅速有效的应用, 例如用在海洋、大气、天体观测资料与地震记录分析、机械故障诊断、密频动力系统的阻尼识别以及大型土木工程结构的模态参数识别方面。本工具书主要分以下几个部分：导论、非稳态信号介绍、一维时频信号分解、二维时频信号分解、时频影像信息提取等。
(Time frequency toolbox for use with MATLAB
The Time-Frequency Toolbox has been mainly developed under the auspices
of the French CNRS (Centre National de la Recherche Scientifique). It
results from a research effort conducted within its Groupements de Recherche
”Traitement du Signal et Images” (O. Macchi) and ”Information, Signal et
Images” (J.-M. Chassery). Parts of the Toolbox have also been developed at
Rice University, when one of the authors (PG) was visiting the Department
of Electrical and Computer Engineering, supported by NSF. Supporting institutions
are gratefully acknowledged, as well as M. Guglielmi, M. Najim,
R. Settineri, R.G. Baraniuk, M. Chausse, D. Roche, E. Chassande-Mottin,
O. Michel and P. Abry for their help at different phases of the development.)
- 2010-11-08 16:19:14下载
- 积分：1
