2018021018322890099408radon_ambiguity

Comments using PHP and ajax and mySQl

谷物作为主要粮食和饲料作物,在农业生产中占有重要地位。提高谷物产量和质量的主要方法是选育出优质品种,而在选育品种过程中,对种子的计数是不可缺少的内容。目前,种子的计数方法通常采用人工计数,或半自动的光电计数器,很显然传统的计数方法存在着效率低、准确性不高等缺点。笔者利用计算机图像识别和处理技术实现考种过程中的计数,为谷物粒群的识别、精选、分级等的进一步研究奠定必要的理论与实践基础,并为育种工作提供一种高效、快捷的谷物计数新技术 用Matlab实现这种方法，既能分步对谷物颗粒图像预处理算法进行仿真测试，又可以很直接地得到谷物颗粒个数的结果。实验证明，用Matlab实现的处理结果比较理想，满足识别的应用性。本文介绍用matlab实现了对谷物颗粒图像的灰度化处理、去除噪声处理、灰度图像的二值化、谷物颗粒的数值计算等。并选取较好的处理步骤和算法参数解决谷物颗粒图像预处理的问题。(The grain plays an important role in the production of agriculture as main food supplyment of mankind and animals. The main way to improve grain yield and quality is to breed high-quality varieties.However, in the process of breeding varieties, counting seeds is an essential element.Nowadays, the counting of seeds is usually done manually,or semi-automatic photoelectric counter. It is obvious that the traditional counting method has the disadvantages of low efficiency and low accuracy. The use of computer image recognition and processing technology to achieve the counting test in the process of selection for identification, grain group, lay the theoretical and practical foundation for further research of the necessary classification, and for breeding work provides an efficient, fast new grain counting technique)

RS码C语言实现，算法为Berlecamp迭代译码(RS Code, C, Berlecamp)

说明：  GAPSO算法，将遗传算法与粒子群算法相结合，有更加快的迭代速度，避免局部最优(GAPSO algorithm, which combines genetic algorithm with particle swarm algorithm, has a faster iteration speed and avoids local optimization)

获取文件的CRC32值(VC++源码-固定码表)-access to documents CRC value (VC source-code fixed table).

对滚动轴承声发射信号进行处理，运用基于正交小波基连续小波变换，寻找最优尺度参数(you can know the functions that finds the best scale in the CWT coefficients or the way how you can do this.)

mimo sar仿真效果非常明显， 大力推荐， 初学者可以学习(The effect of MIMO SAR simulation is very obvious and is highly recommended for beginners to learn)

说明：  DW2XLS导出的Excel文件格式更加完整、支持图片导出等功能，才决定重新开发DW2XLS组件程序。新的程序开发历时5个月，生成Excel文件部分采用VC重写，PB部分也全部重写，以便最大程度提高报表导出的速度和性能。并且增加支持图片和图表导出，多数据窗口导出等原来版本没有的功能。(The Excel file format exported by DW2XLS is more complete and supports the functions of picture export, so it is decided to redevelop the component program of DW2XLS. The development of the new program lasts 5 months. Excel files are generated by VC rewriting and PB rewriting, in order to maximize the speed and performance of report export. Additionally, support for image and graph export, multi-data window export and other functions not available in the original version are added.)

火灾检测l界面,可用于发现火灾与烟雾，程序可运行(Fire detection L interface, can be used to detect fire and smoke, the program can be run)

ahb to apb master and slave