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agh_chapter07
lagre no of m file for matlab course code
file #6(lagre no of m file for matlab course code
file#6)
- 2009-05-08 00:36:24下载
- 积分：1
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renlianpeizhun
人脸图像配准，将同一场景的两幅或多幅图像进行对准，可以实现人脸归一化(Face image registration, the same scene two or more images for the alignment can be achieved face normalization)
- 2013-11-08 16:23:40下载
- 积分：1
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MatlabSignalDisposeFunctions
上数字信号处理课程初期
自己用matlab写的几个数字信号处理的函数
仅供参考哈
(Early on digital signal processing program to write their own use matlab function of several digital signal processing for reference only Kazakhstan)
- 2010-11-18 19:11:01下载
- 积分：1
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Robot_solution
该程序包含六自由度机器人D-H法建模的正解和逆解程序(Positive solution and inverse solution program The program contains six degree of freedom robot DH Modelling)
- 2014-12-08 21:45:06下载
- 积分：1
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HDC
GDP32可控源数据编辑软件，可对原始数据进行选择和编辑，频点选取等，为后续反演提供高质量数据体(GDP32 CSAMT data edit)
- 2013-10-26 08:37:54下载
- 积分：1
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prony_1
Matlab code for prony method
- 2013-12-18 12:35:08下载
- 积分：1
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fuzzy-demo
matlab 原程序 模糊演示 模糊数学(matlab program fuzzy Demo)
- 2012-02-11 21:42:15下载
- 积分：1
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压缩感知
说明： matlab程序分别使用了时域稀疏信号和频域稀疏信号进行测试，两种不同在于时域稀疏信号不用稀疏表达矩阵（因此稀疏表达矩阵使用单位阵即可），而频域稀疏信号则需要先通过稀疏表达矩阵将信号在频域进行稀疏表示，再压缩感知后进行恢复时也要进行反FFT变换到时域。(The matlab program uses sparse signal in time domain and sparse signal in frequency domain to test. The difference is that sparse signal in time domain does not need sparse expression matrix (so sparse expression matrix can use unit matrix). Sparse signal in frequency domain needs to be sparsely expressed in frequency domain by sparse expression matrix first, and then inverse FFT transform is needed when compressed sensing is restored. To the time domain.)
- 2021-04-09 14:18:59下载
- 积分：1
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安时积分法测量UL
说明： 一个简单地一阶RC电路，观测值得测量，并通过安时积分法得到荷电状态(A simple first-order RC circuit. The observation is worth measuring and the state of charge is obtained by the time integral method.)
- 2020-10-09 14:57:36下载
- 积分：1
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MUD_LMS
This File is to simulate transmission data with QPSK modulation. Also, using LMS adaptation method for detection in the receiver part.
- 2010-07-02 02:01:48下载
- 积分：1
