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搜索资源 - Root Mean Square in matlab
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3下载：
1．用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图
2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选
3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱
4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图
,1. Using Matlab generated sine wave, rectangular wave, as well as the white noise signal, and display their
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本实验要求编写一个计算压缩-解压缩图像的均方根误差、均方信噪比的程序。该程序是一个通用程序。编写程序产生图示的结果。使用上面的保真度准则程序计算可视信息的损失特性。-Prepared in this experiment, a calculation of compression- decompression of the root-mean-square error of image, mean square signal to noise ratio of the procedure. Th
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compute the root-mean-square error
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采用MATLAB编程，产生一个16QAM基带信号，并进行实数倍插值计算。要求符号率为1 MSymbol/s，采用均方根升余弦滤波成形，滚降系数=0.5。产生{…1，0，1，1，…}的伪随机序列，经过映射、4倍成形滤波、FIR半带滤波、实数倍内插滤波，最后输出4.315倍时域/频域响应。给出信号序列经过各级滤波的时域、频域结果-Using MATLAB programming, resulting in a 16QAM baseband signal, and the real multiples
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In this paper the analysis of the compression process was performed by comparing the compressed signal against the original signal. To do this the most powerful speech analysis and compression techniques such as Linear Predictive Coding (LPC) and Dis
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自己用的时域特征提取方式，包含均值，均方根值，歪度，峭度，峰值指标，阈值裕值指标，峭度指标等，然后用RBF做聚类(The method of feature extraction in time domain includes mean value, root mean square value, skewness, kurtosis, peak value index, threshold margin index, kurtosis index, etc. Then RBF is used
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图像融合中的平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等(Average gradient, correlation coefficient, information entropy, cross-entropy, joint entropy, mean square error, mutual information, signal-to-noise ratio, peak signal-to-no
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