资源列表
RFID-ALOHA
- RFID ALOHA算法仿真，包括固定帧时隙、动态帧时隙和随机时隙算法-RFID ALOHA algorithm simulation, comprising a fixed frame time slot, time slot and frame dynamic random Slot Algorithm
IIC-AT24C02
- IIC 24C02 IIC 24C02IIC 24C02-IIC 24C02
vx236
- 虚拟力的无线传感网络覆盖，关于超声波倒车雷达测距的，调试通过可以使用。- Virtual power wireless sensor network coverage, About ultrasonic parking radar ranging, Debugging can be used.
Phase_Group_Velocity
- Each code generates GIF files of group/phase velocity animations where vp>vg, vp=vg, and vp<vg. In the animation, two markers are used to show the movements of the wavepacket and envelope.
OENXAT56
- 一个TELNET源代码,附加其他系统功能,不错-A TELNET source code, attach other system functions, good
SFF-8436E
- SFF组织的标准文档。 SFF-8436E QSFP+4X10Gbps_Pluggable_Transceiver-It s latest SFF.ORG standard. SFF-8436E QSFP+4X10Gbps_Pluggable_Transceiver
BFGS
- 功能：用BFGS算法求解无约束问题：min f(x) 输入：x0是初始点，fun,gfun分别是目标函数及其梯度； varargin是输入可变参数变量，简单调用bfgs时可以忽略它， 但是其他程序循环调用时将会发挥重要作用 输出：x,val分别是近似最优点和最优值，k是迭代次数。-Function: BFGS algorithm for unconstrained problem: min f (x) Input: X0 is the initial point, fu
max-average-power
- 基于最大平均功率算法的符号定时恢复算法。输入参数：RtfSig过采样的待恢复信号，信号中的N符号总数，dS升采样率，N_T升余弦滚降滤波器系数-Symbol timing recovery algorithm based on maximum average power algorithm. Input parameters: RtfSig be over-sampled signal recovery, the total number of N-symbol signal, the samp
testnachos
- 操作系统课程设计，nachos系统完善后的源代码，伯克利分校的实验要求，实现了前两个项目。-Courses on operating system design, nachos perfect system source code, and test requirements, Berkeley, to achieve the first two items.
filter-square
- 基于数字滤波平方率的符号定时恢复算法。输入参数：RtfSig过采样的待恢复信号，信号中的N符号总数，dS升采样率，N_T升余弦滚降滤波器系数-A timing recovery algorithm based on the sign of the digital filtering of the square. Input parameters: RtfSig be over-sampled signal recovery, the total number of N-symbol signal
V4
- 施工现场的缺陷分类自动识别系统，main_ICT2是特征提取，main_ST2是训练，main_IC2是识别-Construction site defect classification automatic identification system, main_ICT2 is feature extraction, main_ST2 is training, main_IC2 is identification
code
- 卷积神经网络的实现，未使用matlab工具包函数-Convolutional neural network implementation, not using the MATLAB toolkit function