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tiaxian
自适应波束形成的三个准则：MMSELCMVMSINR(Three criteria for adaptive beamforming: MMSELCMVMSINR)
- 2021-03-13 16:49:24下载
- 积分：1
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daoxianwudongjianmo
实现对输电线路导线舞动的实时检测。并且可对导线舞动的轨迹进行建模。(Galloping on the transmission line to achieve real-time detection. And conductor galloping track can be modeled.)
- 2013-11-15 16:13:36下载
- 积分：1
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yiceng
应用小波变换 模极大值算法实现医学图像（CT图像和MRI图像）的融合(Wavelet transform modulus maxima to achieve medical image fusion)
- 2021-04-09 18:59:00下载
- 积分：1
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ImageRestorationincludecodereportetc
图像复原，实现inverse Filter, Wiener Filter, Lucy-richardson 算法，里面包括PPT，代码和报告。非常有价值，是我视觉的大作业。(Image restoration to achieve inverse Filter, Wiener Filter, Lucy-richardson algorithms, which include the PPT, the code and reporting. Is very valuable, is my vision of the big job.)
- 2010-01-27 16:32:53下载
- 积分：1
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Untitled
针对一个匀速直线运动目标的跟踪设计最小二乘滤波器，了解跟踪滤波的基本方法以及参数估计方法的应用。(For a uniform linear least squares moving target tracking filter designed to learn the basic methods of tracking filter and parameter estimation method applied.)
- 2013-05-27 16:07:52下载
- 积分：1
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Desktop
说明： 内有matlab的gui编程，界面设计，图像转灰度图，边缘检测(There are Matlab GUI programming, interface design, image to grayscale, edge detection)
- 2021-03-22 22:49:16下载
- 积分：1
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hrrp_1
基于matlab的高分辨距离像的研究 svm实现(high ratio radar magic basic on matlab)
- 2009-09-25 05:17:54下载
- 积分：1
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Huffman
把图像导入后，可以实现对图像的huffman编码(Import the images, you can realize the image of the huffman encoding)
- 2008-05-23 09:12:56下载
- 积分：1
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PMP模拟
结构光重建MATLAB模拟代码，采用PMP原理(MATLAB simulation code for structural light reconstruction)
- 2018-04-13 17:13:25下载
- 积分：1
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main
说明： 以稀疏基有离散余弦变换基（DCT）和快速傅立叶变换基（FFT）做为稀疏基，高斯随机矩阵、部分哈达玛矩阵为测量矩阵，L1范数、正交匹配追踪算法（OMP）为重建算法进行压缩感知算法实现。
以f = cos(2*pi/256*t) + sin(2*pi/128*t)做为原信号，取原信号f的20%做为输入进行压缩感知重建。(The sparse basis includes discrete cosine transform (DCT) and fast Fourier transform (FFT) as sparse basis, Gaussian random matrix and partial Hadamard matrix as measurement matrix, L1 norm and orthogonal matching pursuit algorithm (OMP) as reconstruction algorithm.
In this paper, the reconstructed signal is reconstructed by using the original sensing signal (sinf * t) as the original input signal (i.e. sinf * t * 2) + 2 * s * t * as the input signal.)
- 2020-12-17 22:00:23下载
- 积分：1
