Description: 局部放电试验所采集的信号中往往混有白噪声、周期干扰信号去除。此处采用常用db系列小波中的db6小波进行9尺度的多分辨分解后，根据白噪声能量特性，估算各尺度的阈值大小，采用硬值进行处理，后进行重构。-Partial discharge test of the signal collected is often mixed with white noise, periodic interference signal removal. Here the use of commonly used wavelet db Series DB6 wavelet carried out in the 9-scale multiresolution decomposition, based on the energy characteristics of white noise to estimate the scale threshold size, the use of hard-value deal, after the remodeling. Platform: |
Size: 33792 |
Author:rex |
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Description: 仿真信号，添加白噪声，再用小波去除。斑竹看看，有什么问题没^_^我信号处理不行 lO*/qUo7
这个程序也在MIT提供的信号上进行了验证。-Simulation signal, add the white noise, and then wavelet removal. Chiloscyllium see what the problem did not ^ _ ^ I will not do signal processing lO*/q Uo7 This process also signals provided by the MIT verified. Platform: |
Size: 784384 |
Author:宇航 |
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Description: OFDM下行的仿真1、产生要传输随机数；
2、进行调制；
3、串并转换；
4、进行IFFT操作（代码中有用到共轭对称向量的IFFT为实数进行简化计算）；
5、增加循环前缀；
6、并串转换；
7、输出前滤波；
8、增加信道噪声（加性高斯白噪声）；
9、接收端串并转换；
10、去除循环前缀；
11、进行FFT变换；
12、信号解调；
13、误比特率计算；
-OFDM downlink simulation 1, have to be transmitted random number 2, the modulation 3 series and transforms 4, the IFFT operation (code useful to conjugate symmetric vector of the IFFT of real numbers to simplify calculations) 5, the increase in circulating prefix 6, and string conversion 7, the output before the filter 8, increased channel noise (additive white Gaussian noise) 9, the receiver string and conversion 10, removal of cyclic prefix 11, the FFT transform 12 , the signal demodulation 13, bit error rate Platform: |
Size: 112640 |
Author:刘洋 |
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Description: 根据每帧的功率谱动态调整谱减系数,然后通过维纳滤波法把各种噪声变换为类似白噪声的噪声,最后用原减谱法把该噪声去除。-Coefficient of spectral subtraction dynamic adjustment according to the power spectrum of each frame, then all kinds of noise by Wiener filtering transform is similar to white noise, noise, and finally the original spectral subtraction noise removal. Platform: |
Size: 77824 |
Author:fzq |
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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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Description: 包括EV子空间算法和YH子空间算法，对比了分别对于有色噪声和白噪声去除效果，对比增强前后的语音，代码自己编译通过，可用。-Including EV subspace algorithms and YH subspace algorithms, respectively, compared to the colored noise and white noise removal, contrast enhancement before and after the speech, compile their own code, is available. Platform: |
Size: 1440768 |
Author:陈伟 |
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Description: Brain tumors are created by abnormal and uncontrolled cell division in brain itself. If the growth becomes more than 50 , then the patient is not able to recover. So the detection of brain tumor needs to be fast and accurate. The objective of this paper is to provide an efficient algorithm for detecting the edges of brain tumor. The first step starts with the acquisition of MRI scan of brain and then digital imaging techniques are applied for getting the exact location and size of tumor. MRI images consist of gray and white matter and the region containing tumor has more intensity. So, first noise filters are used for noise removal and then enhancement techniques are applied to the given MRI scan of brain. After that the basic morphological operations are applied for extracting the region suffering from tumor. And then verification of region detected is done by using watershed segmentation. Platform: |
Size: 273408 |
Author:manoj |
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Description: 小波分析、局部放电试验所采集的信号中往往混有白噪声、周期干扰信号去除。此处采用常用db系列小波中的db6小波进行9尺度的多分辨分解后，根据白噪声能量特性，估算各尺度的阈值大小，采用硬值进行处理，后进行重构。-Wavelet Analysis、Signal acquired partial discharge test is often mixed with white noise, periodic interference signal removal. Db series wavelet commonly used here in db6 9 scale wavelet multi-resolution decomposition, according to the energy characteristics of white noise, the estimated size of each scale thresholds, hard-value processing, after reconstruction. Platform: |
Size: 33792 |
Author:小贺 |
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Search - white noise removal