Description: 设计IIR数字陷波器,采样率为6.4kHz,陷波频率点为50Hz、150Hz、250Hz;c1.mat为输入数据文件;并且包括陷波前后的频谱分析。-Design of IIR digital notch filter, sampling rate of 6.4kHz, notch frequency point of 50Hz, 150Hz, 250Hz c1.mat for input data files and includes the notch before and after the spectrum analysis. Platform: |
Size: 17408 |
Author:李守轩 |
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Description: matlab实现陷波器,采用的是LMS 算法实现,能将特定的正弦信号滤去-matlab notch filter realization using the LMS algorithm, the sinusoidal signal to a particular least squares Platform: |
Size: 1024 |
Author:zdj |
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Description: 频率固定且不变,通过IIR陷波器,设计谱线增强器。-Fixed frequency and the same, through the IIR notch filter, the design of Line Enhancer. Platform: |
Size: 1024 |
Author:zw |
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Description: IIR数字陷波器的设计文档,可以作为设计陷波器的参考文献-IIR digital notch filter designing document,it can be used as references to design notch filter
Platform: |
Size: 391168 |
Author:吕亮 |
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Description: 关于一种基于IIR陷波器和平均滤波器的改进方法,即先利用Hilbert变换计算出相位差粗值,再经IIR陷波器和平均滤波器得到相位差精确值。-About based IIR notch filter and an improved method of the average filter, i.e. first use of the Hilbert transform to calculate the phase difference crude values, and then by the IIR notch filter and the average filter to obtain a retardation exact value. Platform: |
Size: 2801664 |
Author:程晨 |
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Description: Abstract— with the latest advancements in electronics,
several techniques are used for removal of unwanted entities
from signals especially that are implied in the most
sophisticated applications. The removal of power line
interference from most sensitive medical monitoring
equipments can also be removed by implementing various
useful techniques. The power line interference (50/60 Hz) is
the main source of noise in most of bio-electric signals. The
report presents the removal of power line interference,
baseline wandering and additive white Gaussian noise
(AWGN) from ECG signal using the different types of
filtering technique. The project is based on digital signal
processing (DSP) techniques with MATLAB package, the
IIR Notch filter can be used for removal of power line
interference, Median can be used for Baseline wandering
noise and Discrete Wavelet Transform can be used for
removal of AWGN. Platform: |
Size: 654336 |
Author:muthupandy |
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