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xiaochu
- 实现了用最小二乘法对信号消除趋势项，用Matlab调用Excel中数据，并附实测数据。-achieved using the method of least squares to signal the elimination trend, Matlab called Excel data, with the measured data.
f011x1_preprocess_data
- 对所采集到的非线性信号进行数据预处理,消除趋势项
f011x2_preprocess_data
- 对所采集到的非线性信号进行数据预处理,消除趋势项
f111x1_preprocess_data
- 对所采集到的非线性信号进行数据预处理,消除趋势项
f211x1_preprocess_data
- 对所采集到的非线性信号进行数据预处理,消除趋势项
f311x1_preprocess_data
- 对所采集到的非线性信号进行数据预处理,消除趋势项
GP_CD
- 对所采集到的非线性信号进行数据预处理,消除趋势项,球得其关联维数
dataprocessing
- 可以对振动试验数据进行批量处理，如滤波、消除趋势项、积分等-Vibration test data can be batch processing, such as filtering, to eliminate the trend items, points, etc.
cx4_3
- 振动信号预处理方法_____滑动平均法消除趋势项-_____ Vibration signal preprocessing method trend term moving average method to eliminate
xinhaoxiaochuqushixiang
- 基于matlab利用最小二乘法对振动原始信号消除趋势项并运用五点三次平滑法对信号进行平滑处理-denoising the viberation signal based on matlab
1
- 基于matlab运用最小二乘法对信号进行消除趋势项处理以及五点三次平滑法对信号进行平滑处理，消除毛刺等-denoising vibration signal based on matlab
Eliminate-the-trend-method
- 基于消除趋势项法的振动信号预处理研究.在MATLAB环境中对基于消除趋势项法的振动信号预处理的实例仿真分析。有 最小二乘法去趋势；正弦信号去趋势和滑动平均法等-In the MATLAB environment to eliminate the instance of the trend of the vibration signal preprocessing based on simulation analysis based on the signal preprocessing to e
main
- 振动信号的预处理消除趋势项（滑动法消除多项式趋势）-Pre-oscillation signal, slide method to eliminate the polynomial trend
main
- 振动信号的预处理消除趋势项（最小二乘法消除多项式.）-Pretreatment to eliminate vibration signal Trend (least squares method to eliminate polynomial.)
xiaochu
- 用于信号（振动信号等其它信号）消除趋势项，采用最小二乘原理-Used to signal to eliminate trend items
Smooth
- 振动信号预处理。去噪、去趋势项等。滑动平均法消除趋势项。-Vibration signal preprocessing. De-noising, the trend term.
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.)
滑动平均法
- 滑动平均法消除趋势项，MATLAB导入数据就能使用了，方便快捷(Moving average method to eliminate trend items)
dtrend
- 数字信号预处理，最小二乘法消除多项式趋势项(Elimination of polynomial trend term by least square method)
最小二乘法拟合消除趋势项
- 许多实际信号获取后都有一-些基线的漂移,在信号处理之前要消除这种漂移,称为消除趋势项。这里采用最小二乘法消除趋势项。压缩包内含有案例和所需数据。MATLAB语言。