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直线阵采用切比学夫加权控制主旁瓣比,gmcalab 快速广义的形态分量分析,模拟数据分析处理的过程,有循环检测,周期性检测,用MATLAB实现动态聚类或迭代自组织数据分析,FMCW调频连续波雷达的测距测角,采用的是脉冲对消法,旋转机械二维全息谱计算。- Linear array using cut than learning laid upon the right control of the main sidelobe ratio, gmcalab fast generalized form
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DC-DC部分采用定功率单环控制,直线阵采用切比学夫加权控制主旁瓣比,应用小区域方差对比,程序简单,是机器学习的例程,gmcalab 快速广义的形态分量分析,Matlab实现界面友好,利用贝叶斯原理估计混合logit模型的参数,IDW距离反比加权方法。- DC-DC power single-part set-loop control, Linear array using cut than learning laid upon the right control of the main sid
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gmcalab 快速广义的形态分量分析,在matlab环境中自动识别连通区域的大小,直线阵采用切比学夫加权控制主旁瓣比。- gmcalab fast generalized form component analysis, Automatic identification in the matlab environment the size of the connected area, Linear array using cut than learning laid upon the righ
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直线阵采用切比学夫加权控制主旁瓣比,基于掌纹识别的在线身份验证 识别算法本科毕设,gmcalab 快速广义的形态分量分析。- Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Verify recognition algorithm based on palmprint recognition undergraduate complete set of onli
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数值分析的EULER法,gmcalab 快速广义的形态分量分析,直线阵采用切比学夫加权控制主旁瓣比。- EULER numerical analysis method, gmcalab fast generalized form component analysis, Linear array using cut than learning laid upon the right control of the main sidelobe ratio.
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完整的图像处理课设,包含所有源代码,汽车图像,直线阵采用切比学夫加权控制主旁瓣比,gmcalab 快速广义的形态分量分析。- Complete class-based image processing, contains all of the source code, auto image, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, gmcalab fa
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MIT人工智能实验室的目标识别的源码,直线阵采用切比学夫加权控制主旁瓣比,包括广义互相关函数GCC时延估计。- MIT Artificial Intelligence Laboratory identification of the target source, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Including the generalized
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包括广义互相关函数GCC时延估计,实现典型相关分析,直线阵采用切比学夫加权控制主旁瓣比。- Including the generalized cross-correlation function GCC time delay estimation, Achieve canonical correlation analysis, Linear array using cut than learning laid upon the right control of the main sidelob
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