zhijiezhuanju

将SVM与粒子群算法(PSO)相结合,充分利用SVM在处理小样本回归问题上具有的独特优越性及PSO全局搜索优化等特点(SVM and particle swarm optimization algorithm (PSO) combined with SVM, makes full use of the unique superiority and the PSO global search optimization features in small sample regression problems on)

Optimization toolbox

一个用来进行图像基本运算处理的工具包 (One for image processing toolkit basic operations)

运用三次样条插值函数法对一条已知的折线进行圆滑（编程实现）(The use of cubic spline interpolation function of a line known for sleek (Programming))

使用LMS算法进行盲多用户检测，并计算出信干比和误码率(LMS algorithm using the blind multi-user detection, and calculate the signal to interference ratio and bit error rate)

说明：  卡尔曼滤波简单例子，二维情况。模拟一个小车在平面内运动(Kalman filter simple example, two-dimensional situation. Simulation of a car movement in the plane)

machine learning方面的regression，语言是python.比较基础的资料(machine learning aspects of the syllabus, language is the python. basis of comparison data)

基本的常数模算法，用于信道的盲自适应算法。(Basic constant modulus algorithm for blind channel adaptive algorithm.)

The objective of this project is to investigate the possibility of applying a dynamic channel allocation to cMCN. The proposed method is a multihop dynamic channel assignment (MDCA) scheme that works by assigning channels based on interference information in the surrounding cells. A channel searching strategy, sequential channel searching (SCS) is developed for the MDCA scheme. This strategy is responsible for the channel updation which includes channel assignment for a new request and channel release after the completion of the communication process. Through computer simulation, we show that the proposed MDCA scheme using the SCS strategy improves the system capacity significantly.

simulation of 3_phase rectifier in matlab simulink