spacetime_hdogan

计算了贝塞尔函数的一阶导数的零点。 更新BessDerivZerosBisect.m这些变化： 1。允许对m= 0 2。允许用户指定特定的m和k值理想。 3。允许公差输入参数 4。使用一个表的查找能为m和k的小值接近初始化 5。添加错误检查 6。计算衍生w.r.t.以X而不是w.r.t.米（虽然老方法的工作也。）(Calculates the zeros of the first derivatives of Bessel function. Updates BessDerivZerosBisect.m with these changes: 1. Allows for m = 0 2. Allow the user to specify the particular m and k values desired. 3. Allows for a tolerance input parameter 4. Uses a table look-up to get closer initializations for small values of m and k. 5. Adds error checking 6. Computes the derivative w.r.t. to x rather than w.r.t. m (although the old method works, too.))

Poincare code for detect the area of object. this the new work.

实现QAM调制解调，分为16QAM、64QAM，包括瑞利信道的仿真程序，可以供初学参考。(Implementation of QAM modulation and demodulation, divided into 16QAM, 64QAM, including Rayleigh channel simulation program, can be reference for beginners.)

this is the simulink file for matrix converter with scott connection

说明：  有限元Matlab程序，两网格并行程序，Morley程序(Finite Element Matlab program, the two grid parallel program, Morley program)

retangular waveguide

MATLAB Simulations for Radar Systems Design - Bassem R. Mahafza Atef Z. Elsherbeni.pdf(MATLAB Simulations for Radar Systems Design- Bassem R. Mahafza Atef Z. Elsherbeni.pdf)

小程序，用于识别图中整块的区域，画出它的内边缘和外边缘(Small procedures, used to identify the entire map of the region, draw the edge of its inner and outer edge of)

DQPSK SIMULINK调制解调仿真 绝对能运行(DQPSK SIMULINK simulation is absolutely able to run modem)

The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective. (The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller (FCMAC) is proposed to control this cable compensation system. In FCMAC, without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.)