搜索资源列表
kiu-V7.7
- 计算多重分形非趋势波动分析matlab程序,Pisarenko谐波分解算法,数据模型归一化，模态振动。- Calculation multifractal detrended fluctuation analysis matlab program, Pisarenko harmonic decomposition algorithm, Normalized data model, modal vibration.
4834
- 数据模型归一化，模态振动，多抽样率信号处理，wolf 方法计算李雅普诺夫指数。- Normalized data model, modal vibration, Multirate signal processing, wolf calculated Lyapunov exponent.
geirt
- 毕设内容，高光谱图像基本处理，遗传算法无功优化，小波包分析提取振动信号中的特征频率。- Complete set content, basic hyperspectral image processing, Genetic algorithm based reactive power optimization, Wavelet packet analysis to extract vibration signal characteristic frequency.
SPL2
- 利用声音和振动工具包对一个仿真信号进行声压级的计算，前提是下载声振工具包；-Calculate the sound pressure level of a simulation signal by use of sound and vibration, the premise is to download acoustic kit
1501
- 各种资源分配算法实现，数据模型归一化，模态振动，最小二乘回归分析算法。- Various resource allocation algorithm, Normalized data model, modal vibration, Least-squares regression analysis algorithm.
径向跳动测量
- 基于基恩士激光测微仪的径向跳动测量平台，可用于振动与回转跳动量的测量，采用RS232串口协议(Radial runout measurement platform based on Kean laser displacement measurement)
yuhu8879
- 对LabVIEW进行二次开发，对振动信号进行HHT时频分析(The LabVIEW was developed two times, and the vibration signals were analyzed by HHT time frequency)
LMD分解
- 可以对振动信号进行局部均值分解以提取特征信号(The local signal can be decomposed to extract the characteristic signal)
歪度指标VI
- 歪度指标是描述信号概率密度函数的重要参数。在对非平稳信号进行时域分析时，利用歪度指标反映了振动信号的非对称性，用来判断轴承是否发生碰磨。本文件中将歪度指标独立制作了子VI，便于labview程序调用。(The skewness index is an important parameter to describe the probability density function of a signal. When the non-stationary signals are analyzed i
加速积分
- 程序适合于进行噪声振动开发人员参考，用于进行加速度传感器信号的积分，常用于家电领域测试程序使用。包含了对积分信号的消除趋势项处理。(The program is suitable for noise and vibration developers reference, used for acceleration sensor signal integration, commonly used in home appliance field testing procedures.)
li3
- 本程序可以分别实现对两个振动及其合成振动的傅里叶变换(This procedure can be achieved respectively for the two vibration and its synthetic vibration Fourier transform)
摩托车防盗报警器
- 遥控摩托车防盗报警器! 功能有遥控启动, 遥控熄火, 防抢,振动报警等!