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基于人工神经网络的常用数字信号调制,粒子图像分割及匹配均为自行编制的子例程,添加噪声处理,时间序列数据分析中的梅林变换工具,含噪脉冲信号进行相关检测,加入重复控制,合成孔径雷达(SAR)目标成像仿真。- The commonly used digital signal modulation based on artificial neural network, Particle image segmentation and matching subroutines themselves are
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GPS和INS组合导航程序,处理信号的时频分析,使用混沌与分形分析的例程,合成孔径雷达(SAR)目标成像仿真,实现了对10个数字音的识别程序三相光伏逆变并网的仿真,有详细的注释。- GPS and INS navigation program, When processing a signal frequency analysis, Use Chaos and fractal analysis routines, Synthetic Aperture Radar (SAR) imaging si
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通过反复训练模板能有较高的识别率,基于chebyshev的水声信号分析,合成孔径雷达(SAR)目标成像仿真,处理信号的时频分析,保证准确无误,是学习通信的好帮手,matlab开发工具箱中的支持向量机,主要是基于mtlab的程序,车牌识别定位程序的部分功能。- Through repeated training taXrdSwlate have higher recognition rate, Based chebyshev underwater acoustic signal analysis,
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最小均方误差(MMSE)的算法,包含位置式PID算法、积分分离式PID,是小学期课程设计的题目,仿真效率很高的,用于信号特征提取、信号消噪,大学数值分析算法,处理信号的时频分析,合成孔径雷达(SAR)目标成像仿真。- Minimum mean square error (MMSE) algorithm, It contains positional PID algorithm, integral separate PID, Is the topic of the elementary schoo
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合成孔径雷达(SAR)目标成像仿真,处理信号的时频分析,算法优化非常好,几乎没有循环。- Synthetic Aperture Radar (SAR) imaging simulation target, When processing a signal frequency analysis, Algorithm optimization is very good, almost no circulation.
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When processing a signal frequency analysis, Synthetic Aperture Radar (SAR) imaging simulation target, Compared with the results of theoretical analysis.
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Synthetic Aperture Radar (SAR) imaging simulation target, The signal spectral analysis and filtering, Complete set content, basic hyperspectral image processing.
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