Application Note AN

想必编写HDL的同志们用的着，规范的代码更合理。-HDL preparation presumably used by the comrades, and norms of the code more reasonable.

matlab 雷达系统建模 雷达系统设计与仿真-matlab radar system modeling and simulation of radar system design

P2P流媒体传输 P2P技术 P2P系统架构 论文-P2P streaming media transmission P2P Technology P2P system architecture thesis

Citizen CBM-262 Srvice command reference

通过MATLAB对过采样sigma-delta调制器进行仿真的设计方案，采用多级级联结构，有效减少运算量和硬件开销。-By MATLAB on the over-sampling sigma-delta modulator design simulation, using multi-stage cascade structure, effectively reduce the computational complexity and hardware overhead.

太原理工大学硕 士 学 位 论 文 摘 要 网络缓存（Web Caching）把经常访问的网络对象在访问开 销较少的网络节点上存一个副本，当用户再次访问这些对象时， 可以直接从这个开销较少的网络节点上得到满足。从而在有限 的带宽内，达到缩短用户等待时间、提高网络性能和网络可扩 展性的目的，对于提高Internet 访问效率具有重要意义。-Taiyuan University of Technology master"s degree thesis Abstract network cache (Web Caching) frequent visits to the network to visit the object of the less expensive network nodes onto a copy, when users visit these objects, directly from the overhead less network nodes to be met. Thus the limited bandwidth, which can shorten the waiting time for customers, improve network performance and network scalability for the purpose of improving the efficiency of Internet access is of vital significance.

利用fpga驱动液晶视频的相关资料，里面包含开发流程和模块设计-The use of fpga-driven liquid crystal video information, which includes the development process and module design

WIFI信号应用很好的经验列表，在不同的介质信号衰减，覆盖的具体范围-WIFI signal applications experience a good list of signal attenuation in different media, covering the specific scope of

这是作为我毕业设计的第五章节关于军用卷图机的设计实现部分，原创哦。。。成功实现预期功能-This my fifth graduation design chapters on the military map Volume Design and Implementation of some originality, oh. . . Successfully achieve the desired function.

常用的说话人识别方法有模板匹配法、统计建模法、联接主义法(即人工神经网络实现)。考虑到数据量、实时性以及识别率的问题，采用基于矢量量化和隐马尔可夫模型(HMM)相结合的方法。 　　说话人识别的系统主要由语音特征矢量提取单元(前端处理)、训练单元、识别单元和后处理单元组成， -Commonly used methods of speaker recognition template matching method, statistical modeling method, and connection method (ie, artificial neural networks). Taking into account the amount of data, real-time as well as the recognition rate of the problem, based on vector quantization and Hidden Markov Model (HMM) method of combining. Speaker recognition system mainly by the voice feature vector extraction unit (front-end treatment), training modules, identification and post-treatment unit modules,