radar_display_sim

8FSK系统，波形生成，相干解调，非相干解调等(8FSK systems, waveform generation, coherent detection, non-coherent demodulation, etc.)

说明：  模糊自整定MATLABA仿真程序，十分实用(Fuzzy self-tuning MATLABA simulation program is very useful)

用窗函数法设计FIR 数字滤波器 能产生矩型窗、升余弦窗、改进升余弦窗和二阶升余弦窗的窗函数子程序(Window function method using FIR digital filter designed to produce the window rectangle, raised cosine window, improving the second order raised cosine window and the window raised cosine window function subprogram)

基于混沌扰动算法来解决pso算法早熟问题，并用二者结合来训练灰色预测模型参数(Perturbation algorithm based on chaotic PSO algorithm to solve the early problems and to train with a combination of both gray prediction model parameters)

说明：  提供了matlab编写元胞自动机的基本思路，并提供相关的实例，为元胞自动的初学者提供了很好的资料(Provides a cellular automaton matlab write the basic ideas, and provide examples of cellular automata the beginner to provide a good information)

this is image frequency transform

this is a good program for beginner

关于电动汽车充电桩对电网的影响，电动汽车的接入电网时间分配和优化。(About electric vehicle charging pile for power grid, the influence of electric vehicles connected to the electricity grid time allocation and optimization.)

1.median_filter (功能:使用中值濾波器去除雜訊) 2.mean_filter (功能:使用平均濾波器去除雜訊) 3.fl_stein (功能:使用誤差擴散法,將影像量化和混色) 4.Central_limit (功能:畫圖並證明中央極限定理) (1.median_filter (function: use median filter to remove noise) 2.mean_filter (function: using the average filter to remove noise) 3.fl_stein (function: using the error diffusion method, the image quantification and blending) 4. Central_limit (function: drawing and prove the central limit theorem))

TRAINDIFFEVOL(NET,Pd,Tl,Ai,Q,TS,VV) takes these inputs, NET - Neural network. Pd - Delayed input vectors. Tl - Layer target vectors. Ai - Initial input delay conditions. Q - Batch size. TS - Time steps. VV - Either empty matrix [] or structure of validation vectors. and returns, NET - Trained network. TR - Training record of various values over each epoch: TR.epoch - Epoch number. TR.perf - Training performance. TR.vperf - Validation performance. TR.tperf - Test performance. TR.mu - Adaptive mu value.