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Earthquake_1000
dizhenbo 为大家提供一组地震波数据，方便大家采用(dizhenbo dizhenbo 为大家提供一组地震波数据，方便大家采用)
- 2013-03-07 19:37:38下载
- 积分：1
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ECG-digital-filter
心电信号数据 去噪滤波 IIR FIR 小波去噪等(ECG digital filter IIR,FIR )
- 2021-01-10 18:08:50下载
- 积分：1
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LDPC
LDPC编解码的matlab仿真程序代码(MATLAB emulation code of LDPC codec)
- 2018-04-21 21:13:54下载
- 积分：1
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tsp_nn
用最近邻算法实现TSP问题，用matlab编程(The implementation of TSP problem with the nearest neighbor algorithm)
- 2020-12-04 18:49:24下载
- 积分：1
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CH2
随机序列、白噪声序列、M序列产生程序，系统辨识中应用(Random sequence, white noise sequences, M sequences generated procedures, the application of system identification)
- 2007-11-07 14:36:20下载
- 积分：1
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matlab_api
simple api source code using matlab
- 2012-05-27 03:33:50下载
- 积分：1
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baseband
产生一个长为1000的二进制随机序列，“0”的概率为0.8，”1”的概率为0.2；
对上述数据进行归零AMI编码，脉冲宽度为符号宽度的50 ，波形采样率为符号率的8倍，画出前20个符号对应的波形（同时给出前20位信源序列）
改用HDB3码，画出前20个符号对应的波形
改用密勒码，画出前20个符号对应的波形
分别对上述1000个符号的波形进行功率谱估计，画出功率谱
改变信源“0”的概率，观察AMI码的功率谱变化情况(A length of 1000 random binary sequence, and " 0" with a probability of 0.8, " 1" with a probability of 0.2 the AMI code above zero, the pulse width of the symbol width of 50 , the waveform sampling rate Symbol rate 8 times, draw the top 20 of the waveform corresponding to the symbol (the first 20 and gives the source sequence) switch HDB3 code, the first 20 to draw a waveform corresponding to the symbol to switch Miller code, the first 20 symbols correspond to draw The waveforms of the symbol of the waveform 1000 power spectrum estimation, shown to change the source power spectrum " 0" , the probability of observation of the power spectrum of AMI code changes)
- 2013-11-12 21:16:38下载
- 积分：1
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PV_module
基于MATLAB/SIMULINK，搭建光伏发电系统光伏电池模型(Build a photovoltaic power generation system based on MATLAB/SIMULINK, photovoltaic cell model)
- 2020-12-11 19:09:18下载
- 积分：1
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shuzu
数组元素互换Array element swap.(Array element swap)
- 2014-01-28 09:51:32下载
- 积分：1
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EZW
mbedded Zerotrees of Wavelet transforms (EZW) is a lossy image compression algorithm. At low bit rates, i.e. high compression ratios, most of the coefficients produced by a subband transform (such as the wavelet transform) will be zero, or very close to zero. This occurs because "real world" images tend to contain mostly low frequency information (highly correlated). The locations where high frequency information does occur (such as edges in the image) this is particularly important in terms of human perception of the image quality, and thus must be represented accurately in any high quality coding scheme.
- 2014-02-18 20:06:01下载
- 积分：1
