National Semiconductor

垃圾压缩车的发展-The development of compressed garbage truck

2006年哈尔滨工业大学嵌入式系统教学课件,希望感兴趣的看一看-2006 Harbin Industrial University Embedded System courseware, hoping to look at the interest

操作系统设计说明第三版。英语，经典的操作系统的设计说明书籍-third edition of the operating system design. English, the classic operating system design note books

本文基于遗传算法思想，采用浮点数矩阵表示编码，在遗传算法的进化过程中加入一定的约束条件等方法，探讨了网络结构的设计和学习。经实例分析，在用于建立大坝安全监控预报模型的前馈神经网络设计中，该方法在满足一定约束条件下，能同时有效地寻找合适的网络结构和相应的参数(神经网络的权值和阈值)，且在精度和速度上都有较大的提高，为实现实时在线分析评价大坝的安全性态提供了有力的技术支持。-Based on the genetic algorithm, using a float matrix coding, Genetic algorithms in the evolutionary process to be bound by certain conditions, to explore the structure of the network design and learning. By analyzing the examples used in the establishment of dam safety monitoring forecasting model of neural network design, The constraint in meeting certain conditions, can effectively find suitable network structure and the corresponding parameters (the neural network weights and thresholds), and the accuracy and speed have improved greatly. To achieve real-time online analysis and evaluation of the safety of the dam states provide strong technical support.

介绍一种采用半桥电路的开关电源，其输入电压为交流220V±20％，输出电压为直流4～16V，最大电流40A，工作频率50kHz。重点介绍了该电源的设计思想，工作原理及特点。-Introduction of a half-bridge circuit using the switching power supply, the input voltage for AC 220V ± 20, output voltage of DC 4 ~ 16V, maximum current 40A, operating frequency of 50kHz. Focuses on the design of the power of thought, working principle and characteristics.

LDPC码译码相关文献 Bounds on the maximum likelihood decoding error probability of low density parity check codes-LDPC Decoding literature Bounds on the maximum likelihood decoding error probability of low density parity check codes

vb.net+sql人力资源信息管理系统全套，加毕业设计论文，源程序代码-vb.net complete Human Resource Information Management System

一个功能全面的OA功能设计方案，包括日常所用的多方面业务！-a full-featured OA functional design programs, including day-to-day use of various business!

Relay driving basics you can use it as a good reference

提出了一种用于矢量量化的改进的聚类算法,该算法在MKM(Modified K-Means)算法的框架的基础上,对初始码本的生成、失真测度的选择、非典型胞腔的处理等方面进行了改进,从而减少了原算法在能量和增益上对聚类结果的影响.并将该算法应用于波形编辑孤立字识别器,这种识别器直接对语音样本的时域波形进行训练和聚类,不需要提取语音参数,算法复杂度较低,加上提出的聚类算法失真测度简单易实现,对芯片的运算能力要求不高,非常适用于有低成本要求的语音识别器场合.通过中文元音字识别的实验证明,在相同码本尺寸下,运用改进后的聚类算法的识别器的识别率有所提高. -A Modified MKM Clustering Algorithm and Its Application in Speech Recognition