搜索资源列表
MATLABCODE1
- measured ACF of TRI RV
KeiluV3RvRTL
- keil编译软件中关于RV和RTL的应用说明-keil compiler software applications on the RV and the RTL descr iption
repval
- repval(X) finds all repeated values for input X, and their attributes. -The input may be vector, matrix, char string, or cell of strings Y=repval(X) returns the repeated values of X [RV, NR, POS, IR]=repval(X) returns the following
RvDocumentation
- RvDocumentation，开发指导书，内容详尽，系数h323协议的各个接口使用方法。-Rv stack Documentation
rtc-rv3029c2
- Micro Crystal RV-3029C2 rtc class driver
rv3029
- 实时时钟芯片RV-3029的读写程序，采用IIC总线与单片机通信-RV-3029 real-time clock chip to read and write procedures, communication with the MCU IIC bus
arduino
- 电机控制函数 LV：左轮速度，正数为正转，负数为反转，取值-255～255 RV：右轮速度，正数为正转，负数为反转，取值-255～255 ADC读数函数-Motor Control Functions ADC reading function
rtc-rv3029c2
- Micro Crystal RV-3029C2 rtc class driver for Linux v2.13.6.
rtc-rv3029c2
- Micro Crystal RV-3029C2 rtc class driver.
KineOnline_0918
- This the rv-e2 robot kinematics transformation file-This is the rv-e2 robot kinematics transformation file
_hw4
- gaussian RV for visual c-gaussian RV for visual c++
fan
- 驱动房车排风扇的玩意，用stm8S103做的，可调速。-RV driving the exhaust fan stuff, with stm8S103 do, adjustable speed.
RV-close-loop-control-fix-step
- 定步长关闭比例溢流阀，从开口最大关闭到开口最小-Close the Relief valve step by step
RV-close-loop-control-by-step
- 变步长关闭比例溢流阀，从开口最大关闭到开口最小-Close the Relief valve step by step
编程实践题目-矩阵分解
- 一、穆勒矩阵构成 穆勒矩阵是一个4*4的矩阵，完整描述了介质的偏振属性。可通过水平线偏振光H、垂直线偏振光V，45°线偏振光P，右旋圆偏振光R入射，并分别探测水平线偏振光H、垂直线偏振光V，45°线偏振光P，右旋圆偏振光R出射情况下的能量值，即16种偏振态组合下的强度结果，HH/ HV/ HP/ HR，PH/ PV/ PP/ PR，VH/ VV/ VP / VR和RH/ RV/ RP/ RR。进而Mueller矩阵可按照公式（1）计算得到：(First, the Muller matrix
AN10859_NXP
- 恩智浦官方例程，附有中文说明，适合学习。(This software was adapted to work with a Keil MCB1700 board and the Keil RV ARM C-Compiler with as few modifications as possible. Note that modifications are not optimal, because ARM is a 32-bit machine while the original
PV
- 含光伏的微网仿真，电压电流有功无功以及控制信号均可在示波器中观察(the simulation of Microgrid include PV module)
6
- segysehsrbdvytf rxujusefjhbn xdf s byvrtsh(tvsdsh a vsrty zs rfyv sz h rv a y sryeb4as)
新建文件夹
- 计算已实现波动率RV、BV、J等，可以用各个维度高频数据(Calculation of the realized volatility RV, BV, J and so on)
万门大学强化学习算法代码RW模型+TD模型
- 万门大学，强化学习，rw模型算法代码实现， V(CS) = V(CS) + A * ( V(US) * us - V(CS) * cs ) td模型， V(s{t}) = V(s{t}) + a[R(t+1) + rV{S(t+1)} - V{S(t)}](In the intensive learning of the University of Wan men, the RW algorithm, the python implementation, the algorithm f