fuzzy

基于matlab的迈克尔逊干涉仿真，帮助大家学习光的干涉(Based on the matlab simulation of Michelson interferometers, help you learn the interference of light )

1、不同阶次模拟巴特沃兹滤波器的频率响应 2、根据模拟滤波器指标，设计低通巴特沃兹滤波器 要求通带截止频率 fp = 5kHz, 通带最大衰减 ɑp =2dB， 阻带截止频率 fs= 12kHz, 阻 带最小衰减ɑs =30dB,按照上述指标设计巴特沃兹低通滤波器。 3、给定模拟滤波器，按照不同采样频率设计数字 IIR，观察采样频率对设计结果的影响 已知模拟滤波器传输函数 H(s)为 2 0.5012 ( ) 0.6449 0.7079 H s s s = + + 按照不同采样频率 Fs1=1Hz, Fs2=10Hz 使用脉冲响应不变法将 H(s)转换为 H(z)数字 IIR 滤波器。观察不同采样频率设计得到的数字 IIR 的差异。 4、给定数字 IIR 指标，用脉冲响应不变法设计 IIR。 数字低通滤波器的指标为: 0.2 , 1 , 0.3 , 15 p p s s ω π α ω π α = = = = dB dB ,使用巴特沃 兹滤波器设计数字 IIR。比较采样频率 Fs=1， 2 时设计过程中的模拟滤波器，数字滤波 器的变化。 5、用双线性变换法设计 IIR，并同脉冲响应不变法比较设计的结果。数字滤波器指标要 求如下 0.2 , 1 , 0.3 , 15 p p s s ω π α ω π α = = = = dB dB(1.Grasp the impulse response method and bilinear transformation design IIR filter principle and specific design methods, familiar with double A computer program for designing lowpass, bandpass and highpass IIR digital filters by linear design; 2 . familiar with the design of analog Butterworth filter, master impulse response method and bilinear transformation method to design digital IIR Filter method)

利用数值计算 求解浅水方程，利用了Lax-wendroff有限差分，并附有输出图像展示(The shallow water equation is solved by numerical calculation, and the Lax-Wendroff finite difference method is used with output image display.)

三相电源的整流逆变，在某一时间点并网投入运行的一份仿真。(A simulation of three - phase power supply connected to the grid at a certain time.)

说明：  小波变换的模极大值判断冲击函数、阶跃函数、三角形函数的奇异性(Wavelet transform modulus maxima to determine the impact of function,step function, the singularity of the triangle function)

This code is about synthetics seismic data.

说明：  使用BP算法实现异或功能，由matlab编程实现，可正确运行。(BP algorithm using the XOR function, the matlab programming, can be run correctly.)

MUNK剖面多途结构仿真,代入数据可验证程序的正确性，希望对您有帮助。(MUNK sectional structure of multi-path simulation, on behalf of the accuracy of the data to verify the program, I hope for your help.)

LMS算法的仿真程序,初级入门的matlab仿真程序(LMS algorithm for the simulation procedure, the initial entry of matlab simulation program)

A motion picture presents a continues phenomena as a sequence of frames. We perceive continuity by "filling in the gaps" and "smoothing out " the missing information. While faster motion requires more frames during a given time period, there is a point where more frames per second yield no further improvement. The "sampling speed" must be fast enough to allow "appropriate averaging of dead times between frames", but need not accommodate motion too fast to be seen by a human. The above description is somewhat analogous to sampling of audio signals. The sampling rate depends on how fast the signals vary (the highest frequency we hear). Nyquist showed that sampling frequency exceeding twice the audio bandwidth is sufficient to include all the signal information, preserving the finest details up to half the sampling rate