AMLE_level_set_interp

这是一个非常好的视网膜皮层理论算法，里面含有代码。(This is a very good theoretical algorithm retinal cortex, which contains the code.)

Spectrum sensing using FFT Averaging Ratio (FAR) Algorithm

对于npsk的调制和解调方案，修改n的值就可以得到各种psk的效果(Modulation and demodulation for npsk program, modify the value of n can be the effect of various psk)

说明：  改进的粒子群优化算法求解经济调度问题，较原始算法具有更好的效果。(The improved particle swarm optimization algorithm is better than the original algorithm in solving economic scheduling problem.)

基于时空梯度的多分辨率目标跟踪稳像算法，该方法可用于处理有前景目标的图像，效果很好(Space-time gradient based target tracking of multi-resolution image stabilization algorithm)

Project Report on State space analysis of Inverted Pendulum,The Rotary Inverted Pendulum is a classic control problem that is explored often as a project in control courses due to its easily developed dynamics combined with its complexity of control design. Although, the problem can be solved using conventional control techniques like PD/PID controllers, we will use some other powerful techniques involving state space analysis. The system is composed of a pendulum attached to the end of a rotary arm controlled by a motor. The control input is in the form of voltage input to the motor. Here our objective is to keep the pendulum in upright position of unstable equilibrium.

lte e-node-b matlab code contain code for generating e-node-b in lte simulation

The original source codes works on morphing two people faces as a whole and then combine them by cross dissolve. In this project, I have modified the code so that it works on one face and morph partially on the face, such as the mouth, left eye and right eye.(The original source codes works on morphin g two people faces as a whole and then combine the m by cross dissolve. In this project, I have modified the code so that it works on one fa ce and morph partially on the face, such as the mouth, left eye and right eye.)

利用MATLAB进行信号处理的具体使用方法(the signal procession with matlab)

说明：   R/S分析法程序,用于分析时间序列波形特征(R/S analysis program for analyzing the time series waveform feature)