-
MPPtrackIref
this is file mathlab for MPPT
- 2012-03-25 23:22:36下载
- 积分：1
-
mi_hpv_2d
Automated registration dft
- 2013-04-12 00:17:44下载
- 积分：1
-
tuxiangfenge
基于遗传算法的双阈值图像分割，是用KSW方法。(Genetic Algorithm Based on dual-threshold image segmentation, is a method of KSW.)
- 2009-05-20 16:30:53下载
- 积分：1
-
Getting-Started-with-HW
采用zedboard、zynq等在matlab的平台上进行硬件协仿真的，文章介绍Getting Started with HW，环境的搭建和调试方式。(Using zedboard, zynq etc. on matlab platform for hardware co-simulation, the article describes the Getting Started with HW, build and debug mode environment.)
- 2014-01-10 17:35:15下载
- 积分：1
-
MATLAB
连杆，主要是四杆机构的仿真，界面设计，以及返回函数的编写，和文本框的设置(Kinetic analysis and dynamic simulation of the planar rod robot in the MATLAB Simulink-based)
- 2012-05-08 19:46:47下载
- 积分：1
-
yinzi
matlab中的移植算法，可以解决很多问题o(matlab transplantation in the algorithm, can solve many problems o)
- 2007-09-28 11:19:43下载
- 积分：1
-
GLSE
general least square estimation in system ID
- 2013-09-28 13:34:25下载
- 积分：1
-
MHT
程序对多目标跟踪进行了仿真，运用的是多假设模型(Procedures for multi-target tracking simulation, the use of multiple hypothesis model)
- 2012-12-18 22:48:07下载
- 积分：1
-
MATLAB
使用MATLAB生成棋盘矩阵,希望对大家有帮助(Use MATLAB to generate chessboard matrix, in the hope that everyone has to help)
- 2007-10-04 08:07:56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
