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[Books] programming_Emdedded_systemsin_C_and_C++ DL : 0: 每一个嵌入式系统都是独特的，其硬件部分对它的应用目标来说是高度专用的。这就导致了嵌入式系统编程的涉及面很广，而且可能会需要很多年才能掌握它。不过，几乎所有的嵌入式软件开发都使用了C 语言。这本书就是要教你怎样在嵌入式系统中使用C 和C 的派生语言，C++。-every one embedded system is unique and its hardware part of it is the objective of the highly-specialized. This led to the Embedded Systems Programming is a very broad and may take many years before they can acquire it. However, almost all of the embedded software development using C language. This book is to teach you how the Embedded System C and C use a derivative language, C.
Date : 2026-01-09 Size : 1.37mb User : shucheng
[Books] sdm01_01 DL : 0: 本文章是关于Derivative Dynamic TimeWarping的内容！-This article is about the content of Derivative Dynamic TimeWarping!
Date : 2026-01-09 Size : 132kb User : 林佑亮
[Books] cannysearch1 DL : 0: 图像的边缘是指图像中邻域灰度有显著变化的像素的集合。它是图像的基本特征, 因此边缘检测方法在图像处理中成为一个十分重要的课题。经典的边缘提取方法是考察图像的每个像素在某个邻域内灰度的变化, 利用边缘邻近一阶或二阶方向导数变化规律, 用简单的方法检测边缘。但是, 因为边缘和噪声都是高频信号, 因此许多经典边缘检测算法很难在边缘和噪声中做出取舍。在众多的边缘检测算子中, 算子因为具有优良的边缘检测能力, 因此在图像处理中得到广泛应用。-The edge of the image refers to the neighborhood gray-scale images have seen a significant change A collection of pixels. It is the basic feature of image, so the edge of the seizure Measurement method in image processing has become a very important issue. By Code extraction method is to investigate the edge of each image pixel in a neighborhood Gray-scale changes in the region, using the edge of the neighboring first-order or second-order directional derivative Changes of a few simple ways to detect the edge. However, because the edge Edge and noise are high-frequency signals, so many of the classical edge detection operator Law at the edge and noise it is difficult to make trade-offs. At the edge of a large number of seized Son of measurement, because the operator has an excellent edge detection can Force, so image processing is widely used.
Date : 2026-01-09 Size : 292kb User : wangbin
[Books] Steerable-Filters DL : 0: 一个很好的Steerable图片过滤器，很强大，值得参考-This program can be used to evaluate the first directional derivative of an image. The orientation of the filter can be specified by the user. In general, these filters could be useful for edge detection and image analysis. The filters created by this program are derived from the "steerable filters" presented in: W. T. Freeman and E. H. Adelson, "The Design and Use of Steerable Filters", IEEE PAMI, 1991. A demonstration program (runDemo.m) is included which will create an animation showing the directional derivatives evenly-spaced from 0 degrees to 360 degrees (in 15 degree increments
Date : 2026-01-09 Size : 330kb User : LiMingTian