毕设使用的各种资源分配算法调试工具

由PWM控制的异步发电机，Matlab/Simulink建模仿真(By PWM-controlled induction generator, Matlab/Simulink modeling and simulation)

Extended Kalman Filter for GNSS processing

backscattering of electromagnetic wave from a conducting cylinder, scattering of EM wave from conducting cylinder

成功实现计算ZMkXss算法的程序，本人测试已经通过，性能已基本达到ZMkXss算法的性能，需要MATLAB 2009b环境运行，如有问题，欢迎讨论 (The successful implementation of the program to calculate ZMkXss algorithm, I have passed the test, need MATLAB2009b operating environment, any questions, please contact me )

美国弗州大学的讲义,用cotas环实现载波恢复(The United States notes the University of Virginia, and realize carrier recovery loop cotas)

带有MUSIC算法程序和BPSK调制生成信号的matlab程序(The matlab program with MUSIC arithmetic program and BPSK modulation signal generation)

说明：  最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)

说明：  运用de Casteljau递归求值法编写三角形域上的n次Bezier曲面计算程序，给定 控制顶点(de Casteljau using recursive method for the preparation of the triangle domain n Bezier surface calculation procedures for determining control vertices)

连续搅拌反应釜CSTR系统是聚合反应工业中广泛使用的重要系统，它是一个很强的非线性系统，其系统建模、状态估计和实时控制等问题，(Continuous stirred tank reactor CSTR polymerization system is widely used in industry-critical systems, it is a very strong non-linear system, the system modeling, state estimation and real-time control problems,)

压缩感知基本理论：回顾与展望A201003-1461(Advances and Perspectives on Compressed Sensing Theory )