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high-precision-laser-ranging-method
测距应用广泛，普通标尺测距很难达到精微测距的要求，激光在这方面有着明显的优势，本文更是运用相位来进一步提高检测的精度！(Ranging widely, ranging ordinary scale ranging requirements difficult to achieve subtle, laser has a distinct advantage in this regard, this paper is the use of phase to further improve the detection accuracy!)
- 2013-11-02 17:15:23下载
- 积分：1
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lifangticaisekongzhi
说明： 彩色立方体控制 彩色立方体 控制 彩色立方体 控制 彩色立方体(color cube control color cube c ontrol co lor cube with color cube control system color cube)
- 2006-04-24 11:10:12下载
- 积分：1
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Arnold
具有可逆性与周期性的Arnold置乱变换，目的是实现对图像的置乱，用于图像加密中(The realization of image scrambling, used in image encryption)
- 2017-12-07 21:48:32下载
- 积分：1
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H264verilogcore
H264的VERILOG代码,基本实现了全部的功能(H264 of the Verilog code, the basic realization of all the functions)
- 2020-12-03 10:19:24下载
- 积分：1
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im_mean_var
计算图像的均值和方差函数，matlab编写的，可以添加到自己的图像处理中(Calculated the mean and variance of the image function, matlab prepared, can be added to their own image processing)
- 2009-07-07 21:19:06下载
- 积分：1
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PCA
主成分分析 （ Principal Component Analysis ， PCA ）或者主元分析。是一种掌握事物主要矛盾的统计分析方法，它可以从多元事物中解析出主要影响因素，揭示事物的本质，简化复杂的问题。计算主成分的目的是将高维数据投影到较低维空间。给定 n 个变量的 m 个观察值，形成一个 n ′ m 的数据矩阵， n 通常比较大。对于一个由多个变量描述的复杂事物，人们难以认识，那么是否可以抓住事物主要方面进行重点分析呢？如果事物的主要方面刚好体现在几个主要变量上，我们只需要将这几个变量分离出来，进行详细分析。但是，在一般情况下，并不能直接找出这样的关键变量。这时我们可以用原有变量的线性组合来表示事物的主要方面， PCA 就是这样一种分析方法。(Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical method to grasp the principal contradiction of things, it can be resolved diverse things out the main factors, revealing the essence of things, simplifying complex problems. The purpose of calculating the main component of high-dimensional data is projected to a lower dimensional space. Given n variables of m observations, forming an n ' m of the data matrix, n is usually large. For a complex matters described by several variables, it is difficult to know, so if you can grab something to focus on key aspects of analysis? If the main aspects of things just reflected on several key variables, we only need to separate out these few variables, for detailed analysis. However, in general, does not directly identify this critical variables. Then we can represent the major aspects of things with a linear combination of the original variables, PCA is one such analysis.)
- 2021-01-28 21:48:40下载
- 积分：1
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xiaobo
说明： 数字图像处理 小波处理 ，去噪音，比基于傅里叶变换的去噪方法好。
含噪信号经过预处理，然后利用小波变换把信号分解到各尺度中，在每一尺度下把属于噪声的小波系数去掉，保留并增强属于信号的小波系数，最后再经过小波逆变换恢复检测信号。(The noisy signal is pre-processed, then the signal is decomposed into different scales by wavelet transform. The wavelet coefficients belonging to noise are removed at each scale, and the wavelet coefficients belonging to the signal are retained and enhanced. Finally, the detected signal is restored by inverse wavelet transform. It is better than the denoising method based on Fourier transform.)
- 2019-06-04 10:40:35下载
- 积分：1
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GraphAlgorithm
C++语言下, 关于图论算法的一些模版, 包括一般图最大匹配, km匹配, 最小割等等, 共15个模版(C++ language under the graph theory algorithm on a number of templates, including the maximum matching in general graph, km matching, minimum cut, etc., a total of 15 templates)
- 2009-05-12 08:28:02下载
- 积分：1
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mtdel-wsnhows
说明： 一个简单的windows TDI框架,通过他可以熟悉TDI框架模型(A simple windows TDI framework through which he can familiarize himself with the TDI framework model)
- 2019-04-21 02:20:50下载
- 积分：1
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byjc
说明： 对于一些图像来说，常用的边缘检测算法有时候无法设立合适的阈值将它们的梯度较小的模糊边缘检测出来。为了解决这个问题，有两种解决方法：将图像方差标准化，拉大模糊边缘的梯度值，或通过设置sigmoid函数，将像素所在区域的信息传递到梯度值中去，对其进行调整，就能找到合适阈值，有效地将模糊边缘提取出来。本程序把这两种算法实现并与与传统算法进行了比较。(For some images, the commonly used edge detection algorithm sometimes can not be an appropriate threshold for the gradient of their smaller fuzzy edge detected. To solve this problem, there are two solutions: the image variance standardization, widening the fuzzy edge of the gradient value, or by setting the sigmoid function pixel region to disseminate the message to the gradient values to adjust, on the can find a suitable threshold, effectively extracted fuzzy edge. This procedure of these two algorithms with the traditional algorithm.)
- 2008-10-26 18:49:00下载
- 积分：1
