function1

由于通常的通信信道的冲激响应的稀疏性，使得NLMS算法的收敛速度还有待提高。所以，近年来，有学者提出了成比例的归一化的均方误差算法(PNLMS)。PNLMS在自适应过程的开始阶段有着很快的收敛的速度，但是迭代过程越往后，收敛速度越慢。于是，众多学者提出了许多的改进算法。本程序是通过matlab仿真对近年来流行的PNLMS,IPNLMS,MPNLMS等算法进行的仿真程序(As usual communication channel impulse response sparse, making the convergence rate of NLMS algorithm to be improved. Therefore, in recent years, some scholars have proposed a proportional to the normalized mean square error algorithm (PNLMS). PNLMS the beginning of the adaptive process has a fast convergence speed, but the more backward iterative process, convergence slower. Thus, many scholars have made many improvements in algorithms. Matlab simulation of this program is popular in recent years PNLMS, IPNLMS, MPNLMS other algorithms of the simulation program)

Convolution taking algorithm written in matlab. It is basic and so simple. Can be understood by everybody.

classification with svm

说明：  一种普通的基于matlab编程的BPANN程序(A common procedure based on matlab programming BPANN)

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete introductory discussion can be found in [Sorenson70], which also contains some interesting historical narrative.(In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. A very "friendly" introductio n to the general idea of the Kalman filter can be f ound in Chapter 1 of [Maybeck79] while a more complete introductory discussion can be found in [Sorenson70] which also contains some interesting historic al narrative.)

Matlab prepared, EM estimation procedures, simple and understandable.

说明：  《变结构控制与MATLAB仿真》书中第二章例四的变结构控制程序( Variable Structure Control and MATLAB Simulation chapter book, four cases of variable structure control procedures)

LTE 论文 Capacity Optimized For Multicarrier OFDM-MIMO Antenna Systems(Capacity Optimized For Multicarrier OFDM-MIMO Antenna Systems)

this matlab function displaye four potential field plots showin reaction and attraction force to obstacle and goal locations repectively .

MATLAB分布式电力系统状态估计完整程序.用于分布式光伏电站并网(MATLAB distributed power system state estimation complete program for distributed photovoltaic power station grid connected)