资源列表
main
- 这个实验中使用液晶扩展板(开发板)两个按键(S6、 S7)分别控制 CC2430 模块两个 LED灯闪烁或熄灭。 -This experiment using the LCD expansion board (board) two buttons (S6, S7), respectively, control the CC2430 module or two LED lights blink off.
Pulp-Fiber
- 本课题主要研究是通过对采集的纸浆悬浮液图像进行处理和分析，将单根纤维从图像中分割出来，并提取到纤维的长度和卷曲度参数。-The main subject of study was collected through the pulp suspension for image processing and analysis, the individual fibers split from the image and extract the fiber length and curl parame
Lyapunov_prediction
- lyapunov预测源代码 计算Lyapunov指数： largest_lyapunov_exponent.m（用吕金虎的方法计算最大Lyapunov指数） 参考文献：基于Lyapunov指数改进算法的边坡位移预测。 lyapunov_wolf.m(用wolf方法计算最大Lyapunov指数) 计算关联维数：G_P.m(G-P算法)-lyapunov prediction
main
- 用定时器 2来改变小灯的状态，T2每发生一次中断小灯改变状态一次。1 个 LED灯定时开 关，1 个 LED灯常亮。 -2 using the timer to change the status of a small lamp, T2 interrupt occurs once for every little light to change the status again. 1 LED light timer switch, an LED lights lit.
glsl_deferred
- glsl 场景延时渲染 grammar 校正 场景ms-glsl deferred rendering grammar msaa
FPC_AS_v1.21
- 本程序是利用固定点迭代求解L1范数最小化的算法-This procedure is to use fixed-point iteration to solve the L1-norm minimization algorithm
avr_100-asm
- 单片机开发汇编程序100例 适合初学者-MCU development assembler 100 cases suitable for beginners
main
- 用定时器 3来改变小灯的状态，T3每发生 200次中断小灯改变状态一次。1 个 LED灯常亮， 1 个 LED灯闪烁。 -3 with a timer to change the status of small lights, T3 occurred 200 times for every little light to change the status of an interrupt. 1 LED lights lit, an LED flashes.
simulation-of-BP-neural-network
- BP神经网路的matlab仿真，该程序用matlab演示了BP神经网络的学习机制。-simulation of Back Propagation neural network
matlabaCPP
- 实用最优化方法各种算法的matlab编程和C++编程举例-Practical methods of optimization algorithms matlab programming and C++ programming example
main
- 用定时器 4来改变小灯的状态，T4每发生 200次中断小灯改变状态一次。-4 with a timer to change the status of small lights, T4 occurred 200 times for every little light to change the status of an interrupt.
glsl_layout
- glsl 基础处理语法 uniform block scene layout-glsl basic grammar uniform block scene layout