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matlab
Matlab仿真比较分析三种矩阵迹检测器的检测性能。(Matlab simulation and comparison of three kinds of matrix trace detection performance of detectors.)
- 2008-07-23 21:21:11下载
- 积分：1
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modified_music
一个自适应的MUSIC算法用于信号时延估计(An adaptive MUSIC algorithm for signal delay estimation)
- 2020-11-26 00:39:32下载
- 积分：1
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BUCK0
BUCK电路，具有先恒流在恒压的功能，采用双环控制(BUCK circuit, with the first constant current constant pressure, double-loop control)
- 2012-09-19 22:41:23下载
- 积分：1
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3.1
《数字信号处理》（程佩青第3版）课后实验程序第3章第1题实验(" Digital Signal Processing" (Cheng Peiqing version 3) after-school programs Chapter 3 Experiment 1 Experiment title)
- 2010-08-13 01:58:28下载
- 积分：1
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BP_publish
MATLAB 实现的神经网络人脸识别 视频教程哦(MATLAB neural network realization of video tutorials Oh Face Recognition)
- 2009-05-10 16:21:25下载
- 积分：1
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TheFirstExpT
C语言实现数字信号处理信号过系统（FIR、IIR型滤波器，含画图子函数。）
需：include"graphcis"(C-signals over the digital signal processing systems (FIR, IIR filters, including drawing subroutine.) Must: include " graphcis" )
- 2010-12-15 23:08:44下载
- 积分：1
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longerkuta
用于四阶龙格库塔数值积分，做matlab仿真实验时会用到。(For the fourth-order Runge-Kutta numerical integration, doing matlab simulation experiments will be used. )
- 2012-03-24 17:09:59下载
- 积分：1
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分析chirp信号的改进fft算法
分析chirp信号的改进fft算法，该FrFT算法是从matlab论坛中的算法，尝试后可用(Improved FFT algorithm for analyzing chirp signals)
- 2018-09-16 17:04:05下载
- 积分：1
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processradar
％ BackgroundRemoval=[true],false
％ Gain=[tsquare],linear
％ BandPass=[paul],fircls
％ CenterFrequency, auto (determined using pburg)
％ BandWidth=auto (a fraction of the CenterFrequency default=0.25)
％ ContrastStretch=[true],false
％ HilbertAmplitude=[true],false
％ HorizontalStacking=1 (a number of traces)
％( BackgroundRemoval = [true], false Gain = [tsquare], linear BandPass = [paul], fircls CenterFrequency, auto (determined using pburg) BandWidth = auto (a fraction of the CenterFrequency default = 0.25) ContrastStretch = [true], false HilbertAmplitude = [true], false HorizontalStacking = 1 (a number of traces))
- 2007-12-20 00:03:47下载
- 积分：1
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RBF_0317
径向基（RBF）神经网络进行剩余寿命预测，训练输入为30*735的矩阵，输出为1*735(Radial Basis Function (RBF) neural network to predict the remaining life, the training input matrix of 30* 735, 735* 1 output)
- 2016-03-17 16:48:41下载
- 积分：1
