-
signal_analyzer(1)
主要内容(signal_analyzer.rar)如下:
test1.txt 第一列为时间t,0.001s为步长;第二列为系统的输入信号;第三列为系统的输出信号。
signal_analyzer.m首先将test1.txt 的数据读入workspace,然后进行FFT,分析出两信号的频率,输出对于输入的幅值衰减(db),输出对输入的相位差。
(Main Content (signal_analyzer.rar) as follows: test1.txt the first time as t, 0.001s for the step the second as the input signal the third as the system output signal. signal_analyzer.m first test1.txt the data read into the workspace, and then FFT, the frequency of the two signals, the output amplitude for input attenuation (db), the output of the input phase difference.)
- 2010-05-18 15:57:01下载
- 积分:1
-
Eigenbeams-for-two-sources
本段程序主要实现了两个源的特征束的形成代码编程与波束形成图的演示(Eigenbeams for two sources)
- 2012-09-19 09:37:46下载
- 积分:1
-
svmTrain
[model] = SVMTRAIN(X, Y, C, kernelFunction, tol, max_passes) trains an
SVM classifier and returns trained model. X is the matrix of training
examples. Each row is a training example, and the jth column holds the
jth feature. Y is a column matrix containing 1 for positive examples
and 0 for negative examples. C is the standard SVM regularization
parameter. tol is a tolerance value used for determining equality of
floating point numbers. max_passes controls the number of iterations
over the dataset (without changes to alpha) before the algorithm quits.
- 2013-05-14 08:53:31下载
- 积分:1
-
Hopfield-NN
离散Hopfield神经网络的分类-高校科研能力的评价,有Hopfield神经网络的详细的M文件程序,适合初学者(Discrete Hopfield neural network classification- the evaluation of university research capacity, the Hopfield neural network of the M-file program, suitable for beginners)
- 2012-06-05 21:03:12下载
- 积分:1
-
tanlan_2
no depresss ,matlab code,welcome to use.tanlan_2.txt
- 2007-09-22 10:39:00下载
- 积分:1
-
TPDSPlab2
signal specter
- 2011-02-04 03:05:26下载
- 积分:1
-
memdc
说明: 内存dc,内存dc是用于双缓冲,以解决重绘闪烁的问题(Memory dc, memory dc for double buffering to resolve the issue of flickering redraw)
- 2009-08-16 20:07:18下载
- 积分:1
-
matlableach
说明: 无线传感器网络Leach分簇算法源代码,用matalb仿真的,完全能跑出来(wireless sensor network )
- 2011-03-28 17:06:01下载
- 积分:1
-
MultiScaleEntropy
说明: 实现多尺度熵的算法
多尺度熵(Multiscale entropy, MSE)将样本熵扩展到多个时间尺度,以便在时间尺度不确定时提供额外的观察视角。样本熵的问题在于它没有很好地考虑到时间序列中可能存在的不同时间尺度。为了计算不同时间尺度下信号的复杂性,Costa等人(2002,2005)提出了多尺度熵。(MultiScale Entropy
There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise.)
- 2021-04-02 17:19:07下载
- 积分:1
-
MatlabApplicationProgramInterfaceGuide
matlab的书 不容错过,大家一起来看(matlab book not to be missed, everyone together)
- 2007-10-28 00:32:17下载
- 积分:1