-
Linear_Programing_with_Matlab
说明： 线性规划的MATLAB书籍，英文版，清晰PDF格式，讲解透彻。(Linear Programing with MATLAB. The content was interpreted properly and understood easily.)
- 2010-04-18 13:52:19下载
- 积分：1
-
paper1
Detection of life threatening Arrhythmias are important for successful defibrillation therapy.
This paper provides an idea about arrhythmia detection based on surface ECG analysis.
- 2014-11-14 12:30:40下载
- 积分：1
-
zhuchengfenfenxi
主成份分析法matlab程序完整代码 可对多指标样本求得分并排名(PCA can request more samples of scores and ranking indicators)
- 2010-09-12 01:30:05下载
- 积分：1
-
ImageProcessingusingMATLAB
Image processing using matlab
- 2009-11-16 13:05:55下载
- 积分：1
-
holeofdiffraction
完整的1X1mm大小的方孔衍射程序...............................
可以运行，会有点慢(Complete 1 x1mm square hole the size of the diffraction process)
- 2013-09-12 13:35:00下载
- 积分：1
-
knn
Here is an illustration code for k-nearest neighbor classification
- 2014-10-25 16:04:03下载
- 积分：1
-
matlabcode
matlab代码
用于流动边界层转捩和稳定性Orr-Sommerfeld求解 Chebyshev collocation
(matlab code Orr-SommerfeldSquire system using Chebyshev collocation
)
- 2013-12-27 16:04:29下载
- 积分：1
-
quzaoshixian
实现均值滤波，中值滤波，小波去噪三种不同的高斯噪声和椒盐噪声的去除(to deal with noise of gaosi and jiaoyan)
- 2016-03-25 17:21:49下载
- 积分：1
-
Calculator
example caculartor guide using matlab
- 2011-07-19 22:32:31下载
- 积分：1
-
SCSToolboxV2
将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse
and compressible signals based on randomized dimensionality reduction. To recover a signal from its
compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or
frame that agrees with the measurements. A great many applications feature smooth or modulated signals
that are frequency sparse and can be modeled as a superposition of a small number of sinusoids.
Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the
sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery
performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery
algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a
signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)
- 2012-06-29 10:10:42下载
- 积分：1
