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热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/160223/10555145

m quake_demo.m

%% Loma Prieta Earthquake % This demo shows how to analyze and visualize real-world earthquake data. % The file QUAKE.MAT contains 200Hz data from the October 17, 1989 Loma Prieta % earthquake in t
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www.eeworm.com/read/160223/10555174

asv sunspots.asv

% This demonstration uses the FFT function to analyze the variations in sunspot % activity over the last 300 years. % Sunspot activity is cyclical, reaching a maximum about every 11 years. Let's %
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www.eeworm.com/read/278209/10559668

m td_nmvf.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % Td_nmvf.m - Plots total developed torque(TTd) vs speed(nm) % for variable frequency induction motor operation.
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www.eeworm.com/read/278209/10559672

m phasemmf.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % phasemmf.m - Determines air gap mmfs for a p-pole, 3-phase % stator winding with integer slots/pole/phase. %
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www.eeworm.com/read/352274/10567430

m fftdemo.m

%FFTDEMO Demonstrate use of FFT for spectral analysis. % Copyright (c) 1984-94 by The MathWorks, Inc. clf reset echo on clc % This example shows the use of the FFT function for spectral % a
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www.eeworm.com/read/278048/10578474

m ofdmguifn.m

function OFDMguiFn(action) % Consolidates all of the GUI callbacks into one main function stringArray = [... % Slide 1 'Welcome to the basic OFDM (Orthogonal Frequency '... 'Division Multipl
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www.eeworm.com/read/352043/10586821

m stdpf.m

% 一维particle滤波 % Process function: % x(t) = x(t-1)./2 + 25*x(t-1)./(1 + x(t-1).^2) + 8*cos(1.2*t) + w(t); % w(t) is obey to the Guass distribution N(0,1) % % Measurement function: % y(t) = (
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www.eeworm.com/read/277957/10590993

m exa1_33.m

% exa1-33_sinc.m for example 1-33 % sinc function clear all; x=linspace(-6,6); y=sinc(x); plot(x,y)
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www.eeworm.com/read/159906/10591234

m 6-18.m

L = linspace(0,2.*pi,6); xv = cos(L)';yv = sin(L)'; xv = [xv ; xv(1)]; yv = [yv ; yv(1)]; %设定多边形 x = randn(250,1); y = randn(250,1);
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www.eeworm.com/read/422984/10595016

m work.m

N=500; %%%序列的点数 A= rand(1,N); ....... a:= 1.73*randn(500,1) %%产生500个随机值（噪声），其均值在0.5左右，方差在0.08左右，因此要将其调整为均值为0，方差为3的序列 average=mean(A); %%求均值 for i=1:N A(i)=A(i)-average;
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