-
Power-system
Matlab programs for formulation of y bus and z bus.
- 2011-03-02 00:57:24下载
- 积分：1
-
smp
用smp算法实现基于压缩感知的磁共振图像重构(Smp algorithm for image reconstruction based on compressed sensing)
- 2012-05-29 17:32:49下载
- 积分：1
-
pkcs
pfx格式或者p121格式文件的解析器，
PfxTest文件 使用一个BASE64编码的P12文件字节数组，默认密码123456，CERT为三级证书，使用BC库作为JCE实现(pfx test java code , decrypt a p12 format file (such as .pfx,.p12 file)
the pfxtest use a sampled p12 file which is base64 encoded,
the pfx password is 123456,
and is an three level cert chain,
the resolve use the BC lib ——the JCE open implemention)
- 2014-10-20 14:47:49下载
- 积分：1
-
目标定位
研究目标跟踪的状态估计方法，最小二乘估计，Kalman滤波，扩展Kalman滤波，无迹Kalman滤波以及粒子滤波等，理论及MATLAB源程序。(The state estimation methods of target tracking, least square estimation, Kalman filtering, extended Kalman filtering, unscented Kalman filtering and particle filtering, theory and MATLAB source program are studied.)
- 2021-03-25 09:49:13下载
- 积分：1
-
matlab
说明： 交直流MATLAB仿真(AC and DC MATLAB simulation)
- 2021-03-19 14:59:19下载
- 积分：1
-
3
说明： 利用最小二乘法的方法和3次插值的方法拟合曲线(Curve fitting by least square method and interpolation)
- 2021-04-02 10:43:06下载
- 积分：1
-
good
Matlab m file for solving laser rate equation
- 2010-10-11 23:05:25下载
- 积分：1
-
NNDAF
说明： 本程序实现了最近邻域滤波，并对最近领域滤波进行了仿真(The program achieved the nearest neighbor filtering, and recently conducted a simulation area of filter)
- 2010-04-19 10:27:49下载
- 积分：1
-
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
-
matlab_0_1Problem
说明： 基于MATLAB的非线性0-1规划的求解
- 2009-08-28 12:22:11下载
- 积分：1
