matlab

利用matlab的sedumi工具完成锥优化求解(Use tools to complete the matlab sedumi cone optimization solution)

这是一本经典的移动通信方面的教程。涉及到ASK，PSK,FSK等调制方式，对想从事于通信方面的学生以及专业人士都很有帮助。(This is a classic tutorial for mobile communications. Related to ASK, PSK, FSK modulation, etc., on to the students engaged in the communications and professionals are very helpful.)

Demonstration for the STAR (Spike-Temporal-Auditory-Analysis)method of neural coding utilized in cochlear implants.

交流位置伺服系统因其存在参数时变、负载扰动以及电机的非线性等缺点， 很难为其建立准确的模型. 模糊（ fuzzy）控制具有无需建立被控对象的数学模型、鲁棒性好等 优点，但稳态精度差. 将模糊控制和PID 控制相结合，设计了Fuzzy-PID 双模控制器. 在论域内 用不同的控制方式分段实现控制，这样就综合了模糊控制和PID 控制的优点，克服了各自的缺 点. 该控制器结构简单、易于实现. 在半闭环交流位置伺服系统上所做的实验表明，采用Fuzzy- PID 双模控制器与采用经典PID 控制器相比，阶跃响应的调整时间减少了33. 7 ，并且无超 调，轨迹跟踪误差减小了47. 2 .(AC servo system because of the presence of parameter variations, load disturbances and non-linear motors and other shortcomings, it is difficult to establish accurate models for fuzzy (fuzzy) control without having to build a mathematical model of controlled object, robustness and good However, steady-state accuracy is poor. fuzzy control and PID control are combined to design a dual-mode Fuzzy-PID controller in the sub-region to achieve control on the different control methods, so that a combination of fuzzy control and PID control advantages to overcome their disadvantages. simply the controller structure, easy to implement. experiments on semi-closed loop AC servo system did show that the Fuzzy-PID controller is compared with the classic dual-mode PID controller, step response The adjustment time is reduced by 33.7 , and no overshoot, tracking error is reduced 47.2 .)

利用VC 调用matlab数学库和图形库的方法，实现vc和matlab的混合编程(VC call to use matlab math library and graphics library approach, the realization of a mixture of vc and matlab programming)

filterfor noise removing from the image matlab code

用matlab实现的图形文字匹配，配有文字图片(Matlab implementation of the graphical text with matching pictures with words)

这是一个采用MMSE方法实现的自适应空时多用户侦测程序，还有卷积子程序，侦测子程序，注释详细(This is a method used to achieve adaptive MMSE space-time multiuser detection process, as well as convolution subroutines, detection subroutine, comments in detail)

本文是编程来实现图像缩放，从而熟悉图像的几何变换(This is a program to implement image scaling, so familiar with the image of the geometric transformation)

stanford大学开发用于解优化问题的系统模型，可用于解压缩感知恢复算法：BP、DS等(the system modeldeveloped by stanford University is used for the solution of optimization problems, such as compressive sensing recovery algorithm: BP, DS)