IS95_forward_link_system_simulation

Truetime2.0 使用说明和文献资料(Truetime2.0 use)

算embedding dimension. 可檢驗時間序列數據的embedm fnn1 fnn2(embedding dimension)

PSO对函数进行优化，pso.m为主函数程序,fitness.m为适应度函数， 程序以通过调试。(PSO function to optimize the program through the debugger)

压缩传感算法，可以通过此算法恢复图像实现超分辨成像，多尺度小波变换(Compression sensing algorithm, through which the image can be restored to achieve super-resolution imaging, multi-scale wavelet transform)

说明：  基于模糊算法的自动泊车路径规划和仿真MATLAB实现提供参考(Fuzzy algorithm-based automatic parking path planning and simulation based on MATLAB provide reference)

说明：  雷达MTD源程序，非常棒的MATLAB源码，谁用谁知道，呵呵(MTD radar source, great for MATLAB source, who is with who knows, huh, huh)

bridge rectifier circuit that shows how out-of-phase the current is with respect to voltage

Spread spectrum merupakan sistem dimana sinyal yang dikirimkan memiliki bandwidth yang jauh lebih lebar daripada bandwidth sinyal informasinya sendiri. Proses pelebaran bandwidth sinyal informasi ini dilakukan pada sisi pengirim dan disebut spreading. Sebaliknya, proses penyempitan kembali bandwidth sinyal informasi dilakukan di sisi penerima, dan disebut despreading. Pada gambar 1 berikut menunjukkan proses yang terjadi pada sistem spread spectrum.

说明：  智能控制matlab仿真源程序，实现智能控制算法(Matlab simulation intelligent control source, the realization of intelligent control algorithm)

ReBEL is a Matlabtoolkit of functions and scripts, designed to facilitate sequential Bayesian inference (estimation) in general state space models. This software consolidates research on new methods for recursive Bayesian estimation and Kalman filtering by Rudolph van der Merwe and Eric A. Wan. The code is developed and maintained by Rudolph van der Merwe at the OGI School of Science & Engineering at OHSU (Oregon Health & Science University). (ReBEL is a Matlabtoolkit of functions and s cripts. designed to facilitate in sequential Bayesian ference (estimation) in general state space mo dels. This software consolidates research on n ew methods for Bayesian estimation a recursive nd Kalman filtering by Rudolph and van der Merwe Eric A. Wan. The code is developed and maintaine d by Rudolph van der Merwe at the OGI School of Sci ence)