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LFM_chirp
This code generate LFM chirp with any length, cycles, delays, and phase offsets. It also ensure continous phase change from one pulse to the other.
- 2010-10-10 22:20:19下载
- 积分：1
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Expdf
MATLAB的基础应用及粗糙集理论的基础知识（PDF）(The basis of MATLAB applications and rough set theory based on knowledge (PDF))
- 2009-05-13 13:31:38下载
- 积分：1
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entire_echo_reflection_response
多普勒测速：自相关频率估计，估计误差等仿真(about Doppler velocimetry: from the relevant frequency estimation, estimation error and other simulation
)
- 2011-05-18 17:39:26下载
- 积分：1
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Matlab-HW2
信号与系统matlab作业2，Discrete Fourier Transform，Filtering of Noisy Signals(Discrete Fourier Transform，Filtering of Noisy Signals)
- 2014-10-29 22:21:58下载
- 积分：1
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register
有关三维点云数据的配准程序，使用matlab编写的(For three-dimensional point cloud data registration procedures, matlab prepared using)
- 2013-09-14 18:23:26下载
- 积分：1
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LFMCWsimulation
LFMCW仿真程序，这个是最新的，留着有用(LFMCWsimulationprogram)
- 2010-07-25 10:38:17下载
- 积分：1
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dip2
Digital image processing programs in matlab.
- 2009-11-10 00:23:44下载
- 积分：1
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SVD_DWTimage
说明： 提出了一种新的基于离散小波变换(DWT)与奇异值分解(SVD)相结合的数字图像水印算法。该算法将原始图像作小波分解并将小波分解得到的低频子带进行分块，对每一块进行奇异值分解后，选取每块中最大的奇异值通过量化的方法嵌入经过Arnold置乱后水印信息。(A new wavelet transform based on discrete (DWT) and Singular Value Decomposition (SVD) combination of digital image watermarking algorithm. The algorithm for wavelet decomposition of the original image and wavelet decomposition low-frequency sub-band are divided into blocks, each a singular value decomposition, the selection of each block by the largest singular value methods to quantify Arnold scrambled after embedding the watermark .)
- 2020-12-20 11:49:08下载
- 积分：1
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matlab-code-for-image-retrieval
Coding for image retri
- 2015-04-04 18:06:57下载
- 积分：1
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Clr-Img-Fusion
The fusion of high-spectral/low-spatial resolution
multispectral and low-spectral/high-spatial resolution panchromatic
satellite images is a very useful technique in various
applications of remote sensing. Recently, some studies showed
that a wavelet-based image fusion method provides high quality
spectral content in fused images. However, most wavelet-based
methods yield fused results with spatial resolution that is less
than that obtained via the Brovey, IHS, and PCA fusion methods.
In this paper, we introduce a new method based on a curvelet
transform, which represents edges better than wavelets. Since
edges play a fundamental role in image representation, one
effective means to enhance spatial resolution is to enhance the
edges. The curvelet-based image fusion method provides richer
information in the spatial and spectral domains simultaneously.
We performed Landsat ETM+ image fusion and found that the
proposed method provides optimum fusion results.
- 2015-04-08 16:05:45下载
- 积分：1
