BPF

Multiple Discriminant ysis

将随机数字信号进行16-QASK调制，使用升余弦滤波器模拟具有噪声的信道，绘制眼图，并采用眼图寻找最佳判决时间(The random 16-QASK digital signal modulation, the use of raised cosine filter simulation of the channel noise and draw the eye diagram, using the eye diagram to find the best judgments of time)

适合用来学习模糊控制的源码。模糊自适应PID效果是非常不错。PID控制器，一种工业控制方式,比例积分微分控制规律（控制器数学模型G(S)=比例＋微分＋积分）,经常用P表示比例，用I表示积分，用D表示微分。(Suitable for learning fuzzy control of the source. Fuzzy adaptive PID effect is very good. PID controller, an industrial control, PID control law (mathematical model of the controller G (S) = ratio of+ differential+ points), often expressed by P ratio, with the points I said, with the D that differential.)

matlab下的HalfBridgeMMC系统模型，对于初学者很有帮助，建议大家多多交流，互相帮助(The HalfBridgeMMC system model under matlab is very helpful for beginners. It is recommended that you exchange more and help each other.)

The Haar transform can be expressed in the matrix form as T = HIHT (inverse transform HTTH) where I is an NxN image matrix, H is an NxN transformation matrix and T is the resulting NxN transform. For Haar transform, the transformation matrix H contains the Haar basis functions hk(x). They are defined on a continuous, closed interval, x -[0, 1] for k = 0,1,2 ...,N -1 where N = 2n.( The Haar transform can be expressed in the matrix form as T = HIHT (inverse transform HTTH) where I is an NxN image matrix, H is an NxN transformation matrix and T is the resulting NxN transform. For Haar transform, the transformation matrix H contains the Haar basis functions hk(x). They are defined on a continuous, closed interval, x-[0, 1] for k = 0,1,2 ...,N-1 where N = 2n.)

this is matlab code to solve various convex problem!!!

这是matlalb控制系统仿真域实例一书中的各章节代码，有需要的朋友欢迎下载。(Control System Simulation with MATLAB example explanation (with the book CD-ROM) code sections)

simulation maltab its for trucks and load anad unload

it is the code for bpsk to OFDM coding and it is without using matlab s special function.....

Statistical Pattern Recognition Toolbox(This toolbox implements a selection of statistical pattern recognition methods described in the monograph )