51单片机 电子秤原理图

IP核概述.doc SOPC中自定义外设和自定义指令性能分析.pdf 基于Avalon总线TLC5628自定义IP核的开发.pdf 基于Avalon总线的TFT LCD 控制器的设计.doc 基于Avalon总线的可配置LCD控制器IP核的设计.doc 基于Avalon总线的可配置LCD控制器IP核的设计.pdf 基于Avalon总线的直流电机PWM控制.pdf 基于Avalon总线的键盘和VGA控制接口设计.pdf 基于NIOS II嵌入式处理器实现LCD的控制 .doc 基于Nios II的I2C总线接口的实现.doc 基于NIOS_嵌入式软核处理器的LCD控制方法研究

软件测试报告实例

包含全国的省市区县地图的json和js数据，数据真实，可靠！

纯电动汽车整车控制策略研究

这是IAR工程，用于freescale k60 mcu。PID部分借鉴了apm开源飞控，姿态解算使用了dmp，遥控器部分是解码pwm信号。工程中也有互补滤波的全套代码，只是没有使用。代码写得很乱，仅供参考。

N76E003串口0、串口1中断程序模板，配置两个串口工作在模式0（半双工模式），程序由KEIL4 创建，注释清晰，已成功编译。具体程序解析，可看我博客

计算飞机气动特性的软件的说明书，主要应用于概念设计和初步设计阶段TABLE 2AERODYNAMIC OUTPUT AS A FUNCTION OF /CONFIGURATION AND SPEED REGIME● OUTPUT A∨A| LABLED OUTPUT ONLY FOR CON FIGURATIONS WITH STRAIGHT TAPERED SURFACESA OUTPUT ONLY WITH EXPERIMENTAL DATA INPUCONFIGURATION SPEEDSTATIC AERODYN AMIC CHARACTERISTIC OUTPUTDY NAMIC STABILITY CUTPUREGIMECLSUBSONICBODYTRANSONICSUPERSONICHY PERSONICWINGTRANS0NC口▲|口「口百口SUPERSONIC●{a!口口日口HYPERSONIC口!口D口口HORIZONTALTRANS0NCa|▲▲口口|口白SUPERSONIC·a|口口口·『●|●IY PERSONICVERTICAL TAILSUBSONICOR VENTRALTRANSONIC口FINA sUPERSONIC.「百|口HY PERSONICSUBSONICWING-BODYRANSONC口口口o口SUPERSONIC●d|口HY PERSON百口HORIZONTALTRANS0NIc口口口TAIL- BOOYSUPERSONIC口口0口HY PERSONICSUBSONICVERTICAL TAILTRANSONIC口VENTRAL FIN-2 SUPERSONIC.BODY●●|●|●HYPERSONIC口w|NG-B0D￥△ SUBSONIC■口|口|口|口|a口|aaa0|口aaaaTRANSONICO|口TAILSUPERS0NC口百|百口「口。|口HYPERS0NC口口|口口口口口口SUBSON1C●VERTICAL TAILTRANS0NC▲口VENTRAL FINA SUPERSONIC●●|●●HYPERSONICING BOOYSUBSONICHORIZONTAL口日|a口口a「aa}aTRANSONIC|▲|▲▲▲口A SUPERSONIC O。|。口}口|口口|口VERTICAL TAILVENTRAL FINHYPERS0NC口口c1 THE EFFECTS OF JET POW2PELLER POWER, AND GROUND PROXIMITY MAY BE OBTAINED FOR THESE CONFIGURATIONS IF THE REQUIREDNAMELISTS ARE INPUT, THE EFFECTS OF POWER AND GROUND EFFECTS ARE INCLUDED ONLY IN THE SU!C LONGI TUDIN AL STABILITY RESULTS2 DY NAMIC STABILITY RESULTS ARE THE SAME AS WING-BODY3 TKIN VERTICAL TAIL RESULTS MAY BE OBTAINED FOR THESE CONFIGURATIONS IF THE REQUIRED NAMELIST IS INPUTTHESE EFFECTS ARE INCLUDED ONLY IN THE SUBSONIC LATERAL STABILITY DATAREFER TO DATCOM HANDBOOK FOR METHOD LIMITATIONS IF OUTPUT IS NOT OBTAINED5 AVAILABLE ONLY IN COMBINAT:ON WITH A WING OR TAILCC

ip-iq谐波检测MATLAB仿真图

采用matlab自带的svmtrain和svmpredict实现多分类。

深度学习在强化学习方面的应用所产生的深度强化学习取得快速发展。如何解释深度强化学习优势产生的原因是理解技术的基本方法。强化学习的问题ntel ab数据&智能实验室Agentstate rewardS,||R+=PS=1=8:8:1anR,+1, Environment5o,A0,B1,S1,41,,S2,A2,R3东南大学数据与智能实验室(D& nte lab)强化学习算法的基本范式ntel ab数据&智能实验室Generalized Policy Iteration1. Policy Iteration2. Value iterationevaluationTTU,丌率丌~ greedy(Vdyugreimprovement1. Policy Evaluation博弈2. Policy Improvement1.策略评价逼近策略价值2.策略提高远离策略价值Elements of rlntel ab数据&智能实验室o Policy Valuation Oriented MethodsModel-based or free estimationExp ion or Exploit0 nl ine or0千f|ineExpans ion and Backup Operation(q*)maxnax东南大学数据与智能实验室(D& Inte lab)Position of rlntel ab数据&智能实验室Long short TermPixeICNNPixeIRNNMemory(LSTM)ConvolutionNetworks withFully ConnectedNeural NetworkAutoregressiveNetworkMemoryNetwork(CNN)(FCN)StochasticGradientSecond OrderEarth Mover DistanceDescent (SGD)Algorithms(EMD)NetworksyRt+k+1 St=s, At=ak=0