bofang

最新版pn532解密工具。实用好用。解密快(The latest version of pn532 decryption tool. Practical and easy to use. Fast decryption)

AHB_slave_verilog_code

运用粒子群优化算法求解组合权重，可以综合主客观权重值重新赋予各权重系数一个新的权重系数，得到更加准确地权重计算结果。(Using the particle swarm optimization algorithm to solve the combined weights, the primary and objective weight values can be combined to re-assign a new weight coefficient to each weight coefficient, and a more accurate weight calculation result can be obtained.)

使用javascript动态创建svg元素-Using javascript to dynamically create svg element

说明：  计算EEG数据集的锁相值（PLV）。 ％ ％输入参数： eegData是3D矩阵numChannels x numTimePoints x numTrials srate是EEG数据的采样率filtSpec是用于在期望的感兴趣频带中过滤EEG信号的滤波器规范。 它是一个具有两个字段的结构，顺序和范围。 范围指定频带的限制，例如，对于伽马频带，使用filtSpec.range = [35 45]。 在filtSpec.order中指定FIR滤波器的顺序。 一个有用的经验法则可以包括约4到5个周期的所需信号。 例如，对于以500Hz采样的eeg数据，filtSpec.order = 50对应于100ms并且包含~4个周期的γ波段（40Hz）。(Computes the Phase Locking Value (PLV) for an EEG dataset. % % Input parameters: % eegData is a 3D matrix numChannels x numTimePoints x numTrials % srate is the sampling rate of the EEG data % filtSpec is the filter specification to filter the EEG signal in the % desired frequency band of interest. It is a structure with two % fields, order and range. % Range specifies the limits of the frequency % band, for example, put filtSpec.range = [35 45] for gamma band. % Specify the order of the FIR filter in filtSpec.order. A useful % rule of thumb can be to include about 4 to 5 cycles of the desired % signal. For example, filtSpec.order = 50 for eeg data sampled at % 500 Hz corresponds to 100 ms and contains ~4 cycles of gamma band % (40 Hz).)

一个不错的网上购物系统的源代码 -a good online shopping system source code a good online shopping system source code

说明：  电力市场基础书籍，文件名《电力经济与电力市场》(Electricity market fundamentals book)

说明：  校园导游系统，是图的最短路径的应用 我短学期的课程小实验(Campus tour guide system, is the shortest path map application, I short-term courses of small experimental)

炸弹人源文件. 模拟FC文件 没有图片 程序模拟的黑白图片 能够正常运行。 玩起来还可以吧！-Bomberman

实验心理学，相信对很多研究心理学的同仁们会有很大的帮助，内部版本(Experimental psychology believe pairs many research psychology colleagues be great help, internal version)