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Description: 采用小波系数极大值跟踪法去除图像噪声,建立了尺度间小波系数极大值跟踪矩阵,标识出小波系
数极大值的信噪属性,剔除了噪声部分对应小波系数极大值,从而抑制了噪声污染-Maxima of wavelet coefficients using the tracking method to remove image noise, the establishment of inter-scale wavelet coefficient maxima tracking matrix, the wavelet coefficients logo letter maximum noise properties, removed some of the noise wavelet coefficients corresponding to a maximum value, thereby inhibiting noise pollution
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Size: 461824 |
Author: wangrui |
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Description: toeplitz方程，预测反褶积必备,主要是方程的解法-toeplitz equations, predictive deconvolution essential, mainly equations
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Size: 99328 |
Author: panjun |
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Description: 基于小波变换的ECG信号去噪系统设计,在信号采集时，身体的任一微小运动都会产生“基线漂移”，这是一种低频干扰，同时，由于肌电的存在又产生了高频的肌电噪声，由于空间电磁场的存在又使心电信号中混有50Hz的工频干扰。这些噪声不去除，就会影响下一步的信号处理。
综合运用数字信号处理的理论知识进行生物医学信号增强系统设计，实现ECG信号的去噪，从而加深对小波变换及其应用的理解，建立概念多分辨分析的概念，加深理解信号增强的原理、方法和步骤。本设计的主要内容是设计一个基于小波变换的ECG信号去噪系统，实现ECG信号的去噪。
-ECG signal denoising based on wavelet transform system design, signal acquisition, any small movement of the body will have a " baseline drift" , which is a low-frequency interference, while the high frequency due to the existence of the EMG muscle electrical noise due to the presence of electromagnetic field and the ECG signal mixed with a 50Hz power frequency interference. The noise is not removed, it will affect the next step in the signal processing. Use the theoretical knowledge of digital signal processing for biomedical signal enhancement system design to achieve the de-noising of ECG signal, so as to deepen understanding of the wavelet transform and its applications, to establish the concept of multi-resolution analysis of the concept, deepen the understanding of signal enhancement of the principle, the method and steps. The main elements of this design is the design of an ECG signal denoising based on wavelet transform denoising the ECG signals.
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Size: 1024 |
Author: yangliu |
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Description: 对原始含噪声的信号由小波分解后的小波系数来描述，然后将个尺度上有噪声产生的小波分量去掉，这样保留下来的小波系数基本上是原始信号的小波系数，然后利用小波重构算法重构原始信号-Original noisy signal described by the wavelet coefficients of the wavelet decomposition, then the noise generated by wavelet components removed on a scale, which retained wavelet coefficients basically wavelet coefficients of the original signal, and then take advantage of the wavelet reconstruction algorithm to reconstruct the original signal
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Size: 1024 |
Author: 希 |
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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.
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Size: 654336 |
Author: muthupandy |
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Description: 对输入信号进行有效的去噪，使用小波分解后对噪声信号去除，并重构得到去噪信号(The input signal is effectively denoised, and the noise signal is removed by wavelet decomposition, and the denoised signal is reconstructed)
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Size: 8765440 |
Author: ksadlkalkd
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