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New-Folder-(2)
基于matlab simulink的仿真程序 使用xilinx芯片设计的嵌入式系统(embedded system
matlab simluink
xilinx)
- 2012-04-19 22:31:39下载
- 积分：1
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QPSK
A set of exercises for students - basics of digital modulation
- 2014-10-18 02:19:06下载
- 积分：1
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calculate-FFT
基于FFT平面相控阵天线方向图快速计算 (Figure quickly calculate FFT-based planar phased array antenna direction)
- 2013-12-04 12:31:56下载
- 积分：1
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Matlabvoice
通过计算机上的多媒体卡，按照下列过程进行声音信号的录制、处理和回放，观察处理前后的波形，同时比较声音信号处理前后的效果。
1、 将录制的信号反褶以后播放（反褶以后的信号移到t=0点开始）。
2、 将录制的信号改变取样率（相当于进行了尺度变化）以后播放。
3、 将录制以后的信号延时1s，并将幅度降低一半，接着与原来的信号相加，然后播放。(Multimedia card on your computer, follow the process for recording, processing, and playback sound signal waveform observed before and after treatment, while comparative effectiveness sound signal before and after treatment. 1, the signal recorded after deconvolution player (deconvolution signal moves after t = start 0:00). 2, the signal is changing the sample rate recording (is equivalent to a scale change) later playback. 3, after the recorded signal delay 1s, and reduce the rate by half, and then with the original signal are added, then play it.)
- 2020-09-01 22:48:09下载
- 积分：1
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linear_conv
linearconvolution with matlab
- 2010-12-14 04:02:38下载
- 积分：1
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CDDinpainting
说明： 非纹理的曲率驱动扩散的图像修复。参考文献：《Nontexture Inpainting by Curvature-Driven Diffusion》(Curvature-driven diffusion of non-texture image restoration. References: " CHAN Nontexture Inpainting by Curvature-Driven Diffusion" )
- 2010-04-14 20:40:16下载
- 积分：1
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deepest_descent_method_2D
梯度下降法在二维函数中的优化寻优，老师上课的例子，可以运行无误(Gradient descent optimization in a two-dimensional function optimization, teacher in the class example, you can run correctly)
- 2014-12-19 15:23:33下载
- 积分：1
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SVM-face-detection
The goal of this session is to get basic practical experience with SVM classification as well as with the visual object category detection in still images. We will consider a simple face detector based on the common “scanning-window” technique.
- 2015-03-07 14:04:16下载
- 积分：1
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PSO
Global Optimization Toolbox provides methods that search for global solutions to problems that contain multiple
maxima or minima. It includes global search, multistart, pattern search, genetic algorithm, and simulated
annealing solvers. You can use these solvers to solve optimization problems where the objective or constraint
function is continuous, discontinuous, stochastic, does not possess derivatives, or includes simulations or
black-box functions with undefined values for some parameter settings.
- 2011-01-19 01:18:42下载
- 积分：1
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lc_passive
PASSIVE DEVICE IN CIRCUIT WITH MODEL
- 2012-06-30 23:54:49下载
- 积分：1
