Restoran

使用矩量法计算微带天线的特征阻抗，用户需自行更改其中的天线的几何尺寸和工作频点．(Calculated using the method of moments microstrip antenna characteristic impedance, the user need to change one of the antenna geometry and frequency.)

用matlab编写的关于层次分析法如何应用的代码(AHP)

利用matlab完成了对语音信号的重建，并针对重建信号进行了包括变速，变调等多种处理，适合初学语音信号的人参考。(Using matlab complete reconstruction of the speech signal, and for the reconstruction of signals, including a variety of processing speed, pitch, etc., suitable for beginners who voice signal reference.)

* Oxidization of Ammonia to Nitric Oxide *

两层的层次分析法的例子，能够很好地判断结果,亲测可用。(Examples of two of AHP, the result can be a good judge, pro-test available.)

matlab编的lqr控制三层结构的在地震作用下的响应(matlab series LQR control the response of the three-tier structure under seismic action)

二阶振荡粒子群算法，提高算法的全局收敛性(SecVibratPSO)

说明：  这是《matlab小波分析》第四章例子的源代码！(This is the &quot matlab wavelet analysis,&quot Chapter IV of the source code examples!)

产生右图所示图像f1(m,n)，其中图像大小为256×256，中间亮条为128 ×32，暗处=0，亮处=100。对其进行FFT： ① 同屏显示原图f1(m,n)和FFT(f1)的幅度谱图； ② 若令f2(m,n)=（-1）m+n f1(m,n)，重复以上过程，比较二者幅度 谱的异同，简述理由； ③ 若将f2(m,n)顺时针旋转90 度得到f3(m,n)，试显示FFT(f3)的幅 度谱，并与FFT(f2)的幅度谱进行比较； ④ 若将f1(m,n) 顺时针旋转90 度得到f4(m,n)，令f5(m,n)=f1(m,n)+f4(m,n)，试显 示FFT(f5)的幅度谱，并指出其与FFT(f1)和FFT(f4)的关系； ⑤ 若令f6(m,n)=f2(m,n)+f3(m,n)，试显示FFT(f6)的幅度谱，并指出其与FFT(f2)和 FFT(f3)的关系，比较FFT(f6)和FFT(f5)的幅度谱。(Generating an image f1 (m, n) shown in the figure, wherein the image size is 256 256, the intermediate light bar 128 32 0 = dark, bright Department 100. Its FFT: ① screen display picture f1 (m, n) and the FFT (f1) of the amplitude spectrum ② If so f2 (m, n) = (-1) m+n f1 (m, n), repeat The above process, comparing the amplitude spectrum of the similarities and differences between the two, brief reasons ③ If f2 (m, n) 90 degrees clockwise to get f3 (m, n), try to display FFT (f3) the amplitude spectrum and with the FFT (f2) comparing the amplitude spectrum ④ If f1 (m, n) obtained by 90 degrees clockwise f4 (m, n), so f5 (m, n) = f1 (m, n)+f4 (m, n ), try to display FFT (f5) amplitude spectrum, and pointed out its relationship with the FFT (f1) and FFT (f4) of ⑤ If so f6 (m, n) = f2 (m, n)+f3 (m, n) and try to display the FFT (f6) amplitude spectrum, and pointed out its relationship with the FFT (f2) and FFT (f3), comparing FFT (f6) and FFT (f5) amplitude spectrum.)

My own Fletcher Rieves Optimization engine