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Reconstruct_on_of_oversampled_cosine_modulated_fil

于 2010-05-12 发布 文件大小:340KB
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  本文首先推导出过采样滤波器组精确重构的条件, 由于此时所需的约束条件数比临界采 样时少, 因而可以设计出频域衰减特性更好的滤波器组(This paper is derived through sampling filters of exact reconstruction of conditions, due to time constraints required for critical extraction ratio When a small sample, so you can design a better frequency filter attenuation characteristics)

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    利用自然梯度算法,构成不同频率的调制信号,包含位置式PID算法、积分分离式PID,一些自适应信号处理的算法,包括最小二乘法、SVM、神经网络、1_k近邻法,使用起来非常方便,合成孔径雷达(SAR)目标成像仿真。( Use of natural gradient algorithm, Constituting the modulated signals of different frequencies, It contains positional PID algorithm, integral separate PID, Some adaptive signal processing algorithms, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Very convenient to use, Synthetic Aperture Radar (SAR) imaging simulation target.)
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