avr mega128 射频控制板代码

OPNET Simulation Model:IEEE 802.15.4 -OPNET Simulation Model: IEEE 802.15.4

水土保持工程概算定额》(水利部水总{2003}67号).xls-fixed budget for the Soil and Water Conservation Project "(Ministry of Water total (2003) 67). Xls

Bivariate Kamma Kernel Density Estimate for large data set-optimize method

国际程序设计大赛的获奖作品,忘记是哪一年的了.反正是相当的牛了.-International Design Competition in the winning entries, forget what year in the past. Because it is quite a cattle.

KXML,文档,我也不太知道,只是电脑里有上传上来分给大家-KXML, document and I am not aware of this, but computer has upload up to the U.S.

使用DELPHI6.0开发的停车场管理信息系统 使用ADO和BDE技术连接SQL数据库 是我计算机双学位的毕业设计-Delphi6.0 development of the use of the car park management information system BDE and ADO SQL database connectivity technology is a double degree in computer design graduates

有关结构张量的几篇论文，对于结构张量的含义及在图像处理方面的应用做了介绍-Tensor related to the structure of several papers, for the meaning of the structure tensor and the application of image processing to do the introduction

32bit有符号整数除以16bit整数。 输入数据为被除数Num和除数Den, 输出数据为商Quot和余数Rem。-Divided by the number of signed 32bit integer 16bit integer. Input data for the dividend divisor Num and Den, output data for more than a few business Quot and Rem.

FIR数字滤波器广泛应用在数字通信系统中,研究其实现方法具有重要意义。Matlab功能强大,利用Matlab辅 助设计DSP应用程序,可大大缩短DSP应用程序的开发时间。介绍了Matlab和CCS及DSP的连接,说明了利用Matlab辅 助DSP实现FIR数字滤波器的过程,及如何在Matlab环境中调试DSP程序,给出了实现结果,并把该结果和单纯在Matlab 环境下实现结果进行比较,前者效果更好,更具有实际应用价值。 -FIR digital filters widely used in digital communication systems, research methods of their realization of great significance. Matlab is powerful DSP using Matlab-aided design applications, can greatly shorten the DSP application development time. Describes the Matlab and CCS and DSP connections, shows DSP using Matlab support the process of realization of FIR digital filters, and how to debug in the Matlab environment, DSP program, are given to achieve results, and to the results and simple in the Matlab environment, achieved results are compared, the former better, more practical application value.

hough transform for detecting line