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Codigo_ECG_denoising
A code to analyse ecg signals
- 2011-04-30 01:48:54下载
- 积分:1
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Subspe
matlab sound processing(Matlab sound processing)
- 2007-05-05 13:27:52下载
- 积分:1
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boostyp2
基于boost电路的光伏MPPT控制,包括matlab光伏模型(Based boost circuit photovoltaic MPPT control, including matlab PV model)
- 2021-04-19 23:48:50下载
- 积分:1
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QPSK_Modulation
digital modulation - QPSK
- 2012-05-08 17:48:43下载
- 积分:1
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analemma
ANALEMMA is a MATLAB program which evaluates the equation of time.
- 2013-02-09 06:04:31下载
- 积分:1
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GM1_1
灰色理论认为系统的行为现象尽管是朦胧的,数据是复杂的,但它毕竟是有序的,是有整体功能的。灰数的生成,就是从杂乱中寻找出规律。同时,灰色理论建立的是生成数据模型,不是原始数据模型,因此,灰色预测的数据是通过生成数据的gm(1,1)模型所得到的预测值的逆处理结果。(Gray theory that the behavior of the system even though the phenomenon is dim, the data is complex, but still it is ordered, there is a whole function. Gray number generation, that is, from the clutter to find out the laws. Meanwhile, the gray theory is to generate the data model, not the original data model, so gray prediction data by generating data gm (1,1) model predicted values obtained result of the inverse process.)
- 2013-09-24 00:48:16下载
- 积分:1
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DFA-acceptor
dfa acceptor for compiler course....
- 2014-12-05 17:30:34下载
- 积分:1
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Up_synchronization_Dick
The timing_recovery_1.mdl uses Simulinks variable step solver to create a continous time
QPSK signal with both carrier and symbol rate errors. This is a relativly straight forward
approach, but is computationally expensive.
The sescond model, timing_recovery_2Q.mdl uses a purely discrete time approach using the
same fractional sample delay approach as does the receiver. This can run much faster.
- 2012-01-04 13:42:55下载
- 积分:1
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image_fusion_matlab_six_method
基于matlab小波变换的图像融合,采用的是区域的6种算法(Matlab wavelet transform based image fusion, using the region of six kinds of algorithms)
- 2010-03-06 23:46:56下载
- 积分:1
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exer1
用阵列光电传感器实现空间窄带陷波功能时,采用右图所示的空间权重结构:共有N=2M+1个敏感元件,各敏感元件宽为w,间距为p,中心处敏感元件的权重为+2M,其他2M个敏感元件的权重皆为-1。求此权重函数的傅立叶变换及空间功率谱,并绘图说明当N=7,p=1mm,w=1/3mm时的空间功率谱的零点特征及其应用意义。(With a photoelectric sensor array to achieve narrow-band notch function space, with the weight shown on the right of the space structure: a total of N = 2M+1 a sensitive element, the sensor width w, spacing p, the center of the sensitive components of weight+2 M, 2M a sensitive element of the other weights are all-1. This function find the Fourier transform of the weight and space power spectrum, and the drawing shows that when N = 7, p = 1mm, w = 1/3mm space power spectrum at zero characteristics and application significance.)
- 2011-06-20 20:32:28下载
- 积分:1