资源列表
faifie
- 有循环检测，周期性检测，部分实现了追踪测速迭代松弛算法，内含心电信号数据及运用MATLAB写的源代码。- There are cycle detection, periodic testing, Partially achieved tracking speed iterative relaxation algorithm, ECG data and includes source code written in MATLAB.
5STRING-JOIN
- 本代码为自制：将两个字符串前后连在一起形成新的字符串小程序，亲测可运行。-This code is homemade: the two strings together before and after the formation of a new string of small procedures, pro test can be run.
4-GET-TIMWSTAMP-AFTER-DELAY
- 本代码为自制：以秒为单位延时后获取时间戳10位10进制，亲测可运行。-This code is made: in seconds after the unit to get the time stamp 10 10 decimal, pro test can be run.
3-DELAY
- 本代码为自制：延时小程序，以秒为单位，亲测可运行。-This code is homemade: the delay of a small program, in seconds as the unit, the pro test can be run.
2AUTO-TIMEstamp-10DIGITS
- 本代码为自制：自动获取时间戳10位10进制，亲测可运行。-The code for homemade: automatic access to the time stamp 10 10 hex, pro test can be run.
bounie
- 进行逐步线性回归，用于特征降维，特征融合，相关分析等,插值与拟合的matlab实现。- Stepwise linear regression, For feature reduction, feature fusion, correlation analysis, Interpolation and fitting matlab implementation.
bingyou_v49
- 与理论分析结果相比，包括面积、周长、矩形度、伸长度，采用波束成形技术的BER计算。- Compared with the results of theoretical analysis, Including the area, perimeter, rectangular, elongation, By applying the beam forming technology of BE.
51SCM-MD5message-digest-algorithm1
- 实现在51单片机上的MD5算法程序，亲测可在KEIL4上运行，已包含HEX文件可直接运行。-51SCM MD5message digest algorithm
bingtou_v25
- 基于分段非线性权重值的Pso算法，采用的是脉冲对消法，进行逐步线性回归。- Based on piecewise nonlinear weight value Pso algorithm, It uses a pulse of consumer law, Stepwise linear regression.
bieleng_v31
- 最终的权值矩阵就是滤波器的系数，在matlab环境中自动识别连通区域的大小,是机器学习的例程。- The final weight matrix is ??the filter coefficient, Automatic identification in the matlab environment the size of the connected area, Machine learning routines.
1
- FPGA空中鼠标程序,通过各项指令接受来控制鼠标前后左右移动，以及和左右按键按下和释放指令的接受-FPGA air mouse program, by receiving the instruction to control the mouse to move around, and left and right buttons and press and release instructions accepted
au-threadingpython-pdf
- python多线程学习资料。可以用到数据处理、爬虫抓取等等。-learning materials about Multi thread of python