RANDOM
共 208 篇文章
RANDOM 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 208 篇文章，持续更新中。
动态权重RED网关
<p>随着网络流量的增加，拥塞控制的重要性日益突出，尤其是链路拥塞控制， IETF推荐RED(Random Early Detection)作为</p><p>下一代Internet路由器的拥塞控制算法.该文在分析了RED的优点和缺点后，在现在RED算法的基础上通过改进RED算法的平</p><p>均队列长度计算，使用平均队列长度的均值，判断拥塞的发生和结束，动态调整权重，提高RED对拥塞发生和拥塞结
基于随机矩阵理论的DET合作频谱感知算法
<p>摘 要：针对认知无线电系统中的频谱感知问题，该文采用随机矩阵理论(Random Matrix Theory, RMT)对多认</p><p>知用户(Secondary User, SU)接收信号采样协方差矩阵的最大特征值的分布特性进行了分析和研究，提出了一种新</p><p>的基于双特征值判决门限(Double Eigenvalue Threshold, DET)的合作频谱感知算法。由该算法感知
任意波形信号发生器系统的硬件开发Development of Signal Generator System with Random Waveform
<P>近几年，微波遥感的运用越来越广泛，并根据应用范围的不同，对信号源的要求也各<BR>有不同，尤其是信号的波形、工作频率和带宽等参数，更是对探测效果起着关键作用。本文介绍一个任意波形信号发生器系统的
数字IC设计--方法、技巧与实践
<p>《数字IC设计--方法、技巧与实践》</p><p>目录</p><p>前言</p><p>第1章：背景知识</p><p>集成电路工艺、分类和设计方法的演进,集成电路工艺介绍,集成电路的分类,集成电路设计方法的演进,目前面临的问题和发展方向,物理综合技术,设计重用和SoC设计,片上网络,FPGA动态可重构技术,提高设计的抽象层次,本书的内容和范围</p><p>第2章：芯片设计流程和工具</p><p
《Python程序设计》实验指导书
<p>实验二、Python 运算符、内置函数</p><p>实验目的：</p><p>1、熟练运用 Python 运算符。</p><p>2、熟练运用 Python 内置函数。</p><p>实验内容：</p><p>1、编写程序，输入任意大的自然数，输出各位数字之和。</p><p>2、编写程序，输入两个集合 setA 和 setB，分别输出它们的交集、并集和差集 setA-setB。</p><p>3、编写
MT2625 datasheet v1.2
<p>MT2625 Datasheet<br/>Version: 1.2<br/>Release date: 31 January 2018</p><p><br/></p><p></p><p>NB-IoT transceiver<br/>• Compliant with 3GPP R13/R14 NB-IoT standard<br/>• Supports DL 200kHz bandwidth/
欧母龙PLC例程PLC控制器源码255个合集
<p>欧母龙PLC例程PLC控制器源码255个合集:</p><p>1600T俄罗斯压力机.rar</p><p>200吨压机程序 omron 的机子C系列的.rar</p><p>3MK136旧磨床现程序.rar</p><p>3电机延时控制启停.rar</p><p>5V编码器信号如何接入CP1H高数计数案例.rar</p><p>6路抢答器源码.rar</p><p>902002 OMRON.rar</p
Guide to Convolutional Neural Networks
General paradigm in solving a computer vision problem is to represent a raw image<br />
using a more informative vector called feature vector and train a classifier on top of<br />
feature vectors col
Stochastic Geometry and Wireless Networks Volume I
Part I provides a compact survey on classical stochastic geometry models. The basic models defined<br />
in this part will be used and extended throughout the whole monograph, and in particular to SIN
Random+Matrix+Theory
From its inception, random matrix theory has been heavily influenced<br />
by its applications in physics, statistics and engineering. The landmark<br />
contributions to the theory of random matrices
Probability and Random Processes
Many good textbooks exist on probability and random processes written at the under-<br />
graduate level to the research level. However, there is no one handy and ready book<br />
that explains most o
OFDM+Wireless+LANS
Before delving into the details of orthogonal frequency division multiplexing (OFDM), relevant<br />
background material must be presented first. The purpose of this chapter is to provide the necessar
Nonlinear_Distortion_in_Wireless_Systems
Modeling and simulation of nonlinear systems provide communication system designers<br />
with a tool to predict and verify overall system performance under nonlinearity and<br />
complex communicatio
A Foundation in Digital Communication
Without conceding a blemish in the first edition, I think I had best come clean<br />
and admit that I embarked on a second edition largely to adopt a more geometric<br />
approach to the detection of
RANSAC (RANdom SAmple Consensus) is an iterative method to estimate parameters of a mathematical mod
RANSAC (RANdom SAmple Consensus) is an iterative method to estimate parameters of a mathematical model from a set of observed data which contains outliers. Source code is in Document
基于51单片机I2C总线及E2PROM多字节存储(page wirte)单个读(random read)
基于51单片机I2C总线及E2PROM多字节存储(page wirte)单个读(random read)
Fundamental to advance image processing: basic image, multiscale, and 3D representation based alot o
Fundamental to advance image processing: basic image, multiscale, and 3D representation based alot on random variables and neighborhood operation
Let X1,X2,...X10 be independent uniformly distributed Random vari- ables over [0 1] andY = X1 + X2
Let X1,X2,...X10 be independent uniformly distributed Random vari-
ables over [0 1] andY = X1 + X2 +.....+ X10.Generate the PDF and
pdf of Y
This toolbox implements the same methods on small dadta sets and imlements a trimming method using a
This toolbox implements the same methods on small dadta sets and imlements a trimming method using a random uniform distribution to quickly process large data sets.
This Simulink model simulates as an example the transmission and reception of random digital data mo
This Simulink model simulates as an example the transmission and reception of random digital data modulated with GMSK. The purpose of this model is to illustrate how part of the GSM transmission and r