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源码 MATLAB中FFT变换
已知信号x(t)=0.15sin(2*pi*f1*t)+sin(2*pi*f2*t)-0.1sin(2*pi*f3*t),其中,f1=1Hz,f2=2Hz,f3=3Hz。采样频率为32Hz。(1)做32点FFT,求出其幅度谱;(2)做64点FFT,求出其幅度谱。
技术资料 NT6008B带苹果识别 高通认证QC3.0快充IC
NT6008是继PI SC0163D之后一颗能兼容USB智能识别的QC3.0识别芯片,打破了支持苹果识别就不能通过高通QC3.0认证的传言。
联系人:唐云先生(销售工程)  
手机:13530452646(微信同号)
座机:0755-33653783 (直线)
Q Q: 2944353362
...
技术资料 NT6008D QC3.0快充协议识别IC
NT6008是继PI SC0163D之后一颗能兼容USB智能识别的QC3.0识别芯片,打破了支持苹果识别就不能通过高通QC3.0认证的传言。
联系人:唐云先生(销售工程)  
手机:13530452646(微信同号)
座机:0755-33653783 (直线)
Q Q: 2944353362
...
源码 重力异常正演MATLAB程序
%球体
close all;
G=6.67e-11;
R=2;%球体半径
p=4.0;%密度
D=10.0;%深度
M=(4/3)*pi*R^3*p;%质量
x=-20:1:20;
g=G*M*D./((x.^2+D^2).^(3/2));
Vxz=-3*G*M*D.*x./((x.^2+D^2).^(5/2));
Vzz=G*M.*(2*D^2-x.^2)./((x.^2+D^2).^(5/2));
Vzzz=3*G*M.*(2*D^2-3.*x.^2)./((x.^2+D^2).^(7/2));
subplot(2,2,1)
plot(x,g,'k-');
xl ...
教程 标日初级超详细笔记
1.   日语假名及其发音一览
    平  片  罗     平  片  罗     平  片  罗     平  片  罗     平  片  罗   
假  假  ...
论文 最优性能滑模控制
Optimal Guaranteed Cost Sliding-Mode Control of
Interval Type-2 Fuzzy Time-Delay Systems
论文 基于模糊聚类分析与模型识别的微电网多目标优化方法
在微电网调度过程中综合考虑经济、环境、蓄电池的
循环电量,建立多目标优化数学模型。针对传统多目标粒子
群算法(multi-objective particle swarm optimization,MOPSO)
的不足,提出引入模糊聚类分析的多目标粒子群算法
(multi-objective particle swarm optimization algorithm based
on fuzzy clustering,FCMOPSO),在 ...
书籍 Home+Automation+Projects
You probably have heard all about what you can do with the Raspberry Pi. This credit-
card sized computer can be plugged into your TV or any HDMI monitor to replace a
typical computer. This little device is used in many computer projects, DIY electronics
projects and even as a learning tool for kids ...
书籍 Neural_and_Fuzzy_Logic_Control
The idea of writing this book arose from the need to investigate the main principles of
modern power electronic control strategies, using fuzzy logic and neural networks, for
research and teaching. Primarily, the book aims to be a quick learning guide for
postgraduate/undergraduate students or desig ...
书籍 Stable_adaptive_neural_network_control
Recent years have seen a rapid development of neural network control tech-
niques and their successful applications. Numerous simulation studies and
actual industrial implementations show that artificial neural network is a good
candidate for function approximation and control system design in solvi ...