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fessler.tar
a bunch of useful functions for image reconstruction
- 2009-09-28 19:18:56下载
- 积分:1
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ieee_error
阵列存在幅相误差条件下的DOA估计算法仿真(There is an array amplitude and phase errors of the DOA estimation algorithm under the conditions of simulation)
- 2021-03-22 16:49:16下载
- 积分:1
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AR_Burg1
经典AR模型系数求解,burg法.根据原理手编,希望对大家有帮助。(the method of burg to get the coefficients of AR model)
- 2013-12-19 15:49:23下载
- 积分:1
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bpsk_qpsk_16qam
This is BER simulation source file with matlab.bpsk, qpsk, 16qam
- 2009-06-05 17:36:09下载
- 积分:1
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MATLAB
本文件是matlat分割用,欢迎下载用,这可是免费的,maotllab分割程序(This document is divided by matlat,welcome come here,download)
- 2009-06-13 17:57:07下载
- 积分:1
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ARMA
ARMA时间序列法预测模型,有示例数据及注释等(autoregression----moving average)
- 2013-01-11 18:19:18下载
- 积分:1
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zadanie_1
Model of synchronious motor with PID regulators of speed and current
- 2015-04-19 16:30:36下载
- 积分:1
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CC
说明: GCC时延估计,二次互相关进行估计时延,精确定位(GCC delay estimation, the second cross-correlation to estimate the delay, precise positioning)
- 2014-04-08 16:27:54下载
- 积分:1
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wk10
波数域算法又称为距离徙动算法(Range Migration Algorithm,RMA)或-算法,由Cafforio等提出。该算法分析距离处理后信号的二维频谱,通过二维频域匹配滤波进行相位补偿,在完成方位聚焦的同时完全校正距离徙动。由于其中的Stolt变换能克服SAR信号中距离徙动和SRC对斜距的依赖,因此波数域算法是一种理想的成像算法,尤其在处理大斜视角和长合成孔径的SAR数据时。但Stolt变换需要插值,降低了处理效率并引入额外的误差。(The wavenumber domain Algorithm is also called Range Migration Algorithm (RMA) or -algorithm, which is proposed by Cafforio et al.The algorithm analyzes the 2-d spectrum of the signal after the distance processing, carries out phase compensation through the 2-d frequency domain matching filter, and completely corrects the distance migration while completing the azimuth focusing.Because the Stolt transform can overcome the SAR signal range cell migration and SRC dependence on oblique distance, thus wavenumber domain algorithm is an ideal imaging algorithm, especially when dealing with large squint Angle and long synthetic aperture of SAR data.But Stolt transformation requires interpolation, reduces processing efficiency and introduces additional errors.)
- 2018-07-12 20:40:02下载
- 积分:1
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BPneural network
说明: BP_Adaboost模型即把BP神经网络作为弱分类器,反复训练BP神经网络预测样本输出,通过Adaboost算法得到多个BP神经网络弱分类器组成的强分类器,利用此方法设计出强分类器。(The BP_Adaboost model uses the BP neural network as a weak classifier, repeatedly trains the BP neural network to predict the sample output, and uses the Adaboost algorithm to obtain a strong classifier composed of multiple BP neural network weak classifiers. This method is used to design a strong classifier.)
- 2019-02-26 14:38:11下载
- 积分:1