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tform_Lidar
README.TXT (this file)
CLOUD_ARRAY.TIF is a synthetic test image. It contains a 5x5 pattern
of identical, regularly-spaced cartoon clouds. This represents
an ideal field of view in XY coordinates in order to study the
effect of scanner field of view distortion.
MODEL_LIDAR_AND_VALIDATE_TFORM.M is the MATLAB program. NOTE: This
is a function M-file with a number of subfunctions inside.
Refer to the comment lines for detailed explanation of how the
program works.(
Some images are geometrically distorted due to optics others due to
nonuniform or curvelinear scan coordinates. Such distortions can be
corrected using spatial transformations given the governing distortion
geometry. This program demonstrates how to correct for nonuniform
polar scan distortion using spatial transforms in MATLAB with the Image
Processing Toolbox 3.1.)
- 2009-12-03 17:19:13下载
- 积分：1
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Recognize_Diffrent_Shapes
An application for recognising diffrent shapes in matlab
- 2010-03-08 18:35:37下载
- 积分：1
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ff
说明： 数据离散化程序，对大量的数据进行智能化分析和处理，能有效的提高计算效率(Data discretization procedures, intelligent analysis and processing of large amounts of data, which can effectively improve the computational efficiency)
- 2012-09-09 11:45:20下载
- 积分：1
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matlab
2PSK、QPSK、8PSK等多种调制方式及瑞利信道和高斯信道下误码率的比较分析(
2PSK, QPSK, 8PSK and other Rayleigh channel and Gaussian channel under the bit error rate comparison and analysis)
- 2021-03-11 15:29:26下载
- 积分：1
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suanli1_1_3
孙志忠编写的《偏微分方程数值解法》一书中例题1.1.3的程序。用紧差分格式解常微分方程边值问题。(SUN Zhi-zhong prepared, )
- 2007-10-08 22:38:53下载
- 积分：1
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MySierpinski
自己编写的程序，产生Sierpinski衬垫图案,简易实现。附带在网上下载的两个Sierpinski程序供大家一起学习。(their preparation procedures have Sierpinski liner pictorial, simple to achieve. Fringe in the downloaded two Sierpinski procedures for all learning together.)
- 2007-03-31 12:43:39下载
- 积分：1
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kPCA_v2.0
Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.
- 2020-09-20 10:47:53下载
- 积分：1
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cvx-w64
说明： 可以方便地进行1,2范数的优化计算。具体针对稀疏恢复问题，最小二乘问题，约束优化问题的求解等。(It is convenient to optimize the calculation of 1,2 norms. Specifically for sparse recovery problem, least squares problem, constrained optimization problem and so on.)
- 2019-05-07 09:54:23下载
- 积分：1
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椭圆型方程五点差分法
椭圆形方程的五点差分方法，内涵求解方程的迭代程序包括雅克比迭代和高斯迭代(Five-point difference method for elliptic equation. Iterative procedures for solving the equation include Jacobian iteration and Gauss iteration.)
- 2019-06-09 12:09:40下载
- 积分：1
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kaojui
gmcalab 快速广义的形态分量分析，三相光伏逆变并网的仿真，利用matlab针对图像进行马氏距离计算 。( gmcalab fast generalized form component analysis, Three-phase photovoltaic inverter and network simulation, Using matlab to calculate the Mahalanobis distance for the image.)
- 2016-11-08 13:55:02下载
- 积分：1
