Edge_detection_toolbox

混沌时间序列预测(chaotic time series prediction)中的Volterra级数一步预测 、Volterra级数多步预测方法(Prediction of chaotic time series (chaotic time series prediction) in the prediction step Volterra series, Volterra series multi-step prediction method)

说明：  对uwb的ppm调制的时域和频域进行分析,画出它的图形(ppm of UWB modulation of the time domain and frequency domain analysis, to give its graphics)

Understanding the Software Communications Architecture

针对现场工业数据，实现状态空间模型的递推最小二乘算法的辨识(For on-site industrial data to achieve state-space model identification recursive least squares algorithm)

以EVC和MATLAB作为仿真运算工具，通过EVC和MATLAB编程建立TCP通信的客户端，用VB建立通信的服务器，通过此服务器的桥梁作用实现ARM与MATLAB的TCP通信，在此通信的前提下开发控制系统。(EVC and MATLAB simulation to computing as a tool, and MATLAB programming by EVC to establish a TCP communication client, the server to establish communication with VB through this server as a bridge to achieve ARM and the MATLAB TCP traffic, the premise of this communication development control system.)

Local correlation-based fingerprint matching

级联MUSIC算法将二维谱峰搜索变为一维谱峰搜索，大大降低算法复杂度。(Cascade MUSIC algorithm to two-dimensional spectrum peak search into a one-dimensional spectrum peak search, greatly reduce the complexity of the algorithm.)

Adaline Algorithm Using Matlab

视频转换程序matlab中编写视频转换程序matlab中编写视频转换程序matlab中编写视频转换程序matlab中编写视频转换程序matlab中编写视频转换程序matlab中编写视频转换程序matlab中编写视频转换程序matlab中编写视频转换程序matlab中编写(Video conversion program matlab video conversion program matlab write write video conversion program matlab video conversion program matlab write write write matlab video conversion program video conversion program matlab video conversion program matlab write write write matlab video conversion program video conversion matlab program to write)

In this project, the standard particles swarm optimization - named here (MyPSO) is simulated and tested by five well-known benchmark functions (Sphere, Ackley, Rastrigin, Rosenbrock and Schwefel p2.26). Then, a new mechanism- named here (Improved MyPSO) is introduced to improve the performance of the standard particles swarm optimization to achieve better results and avoid stagnation at bad results. This new mechanism is also tested by the same benchmark functions. The results of improved PSO are then compared with those of standard PSO and different published improved PSO (SPSO, PSO-XD, CPSO-S and PSO-P5).