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upload
matlab code for kfcm
- 2012-10-09 14:37:40下载
- 积分：1
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houghpeaks_s
本文件详细描述了如何利用matlab代码去实现边缘的检测，hough变换检测图像几何形状时的边缘问题(This document describes in detail how to use matlab code to achieve edge detection, hough transform to detect the edge of the image geometry problem)
- 2013-11-16 00:48:12下载
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Dyn5
matlab simulation about DY5 transformer
- 2012-01-09 03:59:48下载
- 积分：1
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OSCA-CFAR
光纤预警系统，基于相位敏感光时域反射计技术的基础上，引入雷达信号系统检测中的OS-CFAR与CA-CFAR相结合方法，对油气管道周围的振动信号进行检测(Optical warning system, based on the phase sensitive optical time domain reflectometer technology, on the basis of the introduction of radar signal in detecting system of OS- CFAR combined with CA- CFAR method, to test the vibration signal of the surrounding oil and gas pipelines
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- 2015-04-22 13:54:46下载
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New-folder
HMM and Gaussian functions and speech recognition..
- 2013-11-10 01:26:37下载
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isi_distribution_fit
he rational is simply to fit a mathematical model to the
ISI distribution that includes a component to model the
refractory period. If a neuron is well isolated, it must
exhibit some refractory period. If instead, it is multi-
unit, then it will exhibit instead something similar to
a poisson process in which there is no refractory period,
or at least large probability of inter-spike intervals
at the shortest intervals.
- 2012-01-10 15:55:17下载
- 积分：1
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QRS_CHAFEN_MATLAB
基于MATLAB写的调试通过的QRS检测算法，具有信噪比估计、阀值预测的斜率检测算法。(Written based on MATLAB debugging through the QRS detection algorithm, with SNR estimation, prediction of the slope threshold detection algorithm.)
- 2007-08-18 13:14:35下载
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shortest
This code simulates Shortest Path Routing protocol that resides in network layer of a Network Architecture
- 2011-02-01 21:39:24下载
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fsdhejijidhouyufashe
低频信号先进行放大，再调制解调，设计发射机和接收机(Low-frequency signal is first amplified, and then modulation and demodulation, the transmitter and receiver design)
- 2013-11-28 10:03:15下载
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RICE-UNIVERSITY
标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is possible from M=O(Klog(N/K)) measurements. We demonstrate that it is possible to substantially decrease Mwithout sacrificing robustness by leveraging more realistic signal models that go beyond simple sparsity and compressibility by including dependencies between values and locations of the signal coefficients.
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- 2014-01-06 20:07:54下载
- 积分：1
