Description: 主要研究了超声回波信号的小波分析算法和BP神经网络算法。在超声检测中，作为检测基本数据的脉冲反射回波信号受到电子噪声和结构噪声的干扰，-major study of the ultrasonic echo signal wavelet analysis algorithm and BP neural network algorithm. In ultrasonic testing, to detect the basic data pulse echo signals reflected by the structure of electronic noise and noise interference, Platform: |
Size: 990048 |
Author:琼 |
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Description: 对图像进行2维小波编码 来实现压缩。将小波分析引入图像压缩的范畴也是一个重要的手段，并且有着它自己的特点。它的特点在于压缩比高、压缩速度快，压缩后能保持信号与图像的特征基本不变，且在传递过程中可以抗干扰等等。（有两种方法）-of two-dimensional images wavelet compression coding to achieve. Wavelet Image Compression analysis of the introduction of the context is also an important means, it has its own characteristics. It features is the compression ratio, faster compression, the compressed signal can be maintained with the image of the same basic features, and the transfer process can be interference, etc.. (There are two methods) Platform: |
Size: 3115 |
Author:郭指挥 |
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Description: 主要研究了超声回波信号的小波分析算法和BP神经网络算法。在超声检测中，作为检测基本数据的脉冲反射回波信号受到电子噪声和结构噪声的干扰，-major study of the ultrasonic echo signal wavelet analysis algorithm and BP neural network algorithm. In ultrasonic testing, to detect the basic data pulse echo signals reflected by the structure of electronic noise and noise interference, Platform: |
Size: 990208 |
Author:琼 |
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Description: 本文介绍的是小波变换在信号趋势检测中的应用。通常情况下，一些含噪信号的发展趋势是难以分辨的。由于噪声的污染，对我们有用的信号的发展趋势在时域中看不出来，但是，通过小波分解，可以去除那些干扰信号，最终显现出有用信号的真面目。有完整的源程序和仿真结果及图形，很好的学习材料。
-This article describes the trend of wavelet transform in signal detection. Under normal circumstances, some with noise signals in the development trend is difficult to determine the. Due to noise pollution, a useful signal to our development trend in the time domain do not watch out, however, through the wavelet decomposition, which can remove interference signals, and ultimately show the true face of a useful signal. Have complete source code and simulation results and graphics, very good learning materials. Platform: |
Size: 104448 |
Author:阳关 |
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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: 信号处理动态库，利用小波变换等技术，去除信号中的干扰，有利于信号的在线监测。-Signal processing of dynamic libraries, using wavelet transform techniques to remove the interference signal is conducive to the signal-line monitoring. Platform: |
Size: 28672 |
Author:李小 |
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Description: 小波去噪指标-信噪比，用这个程序可以实现-Wavelet Denoising indicator- signal to noise ratio can be achieved with this procedure Platform: |
Size: 3072 |
Author:小云 |
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Description: 建立了信号从扩频、加干扰信号到解扩、求误码率的仿真模型系统。
经过小波镜像处理的与理想的状况的比较。-Established from the spread spectrum signal, plus interference signal to the de-spread, and the bit error rate system simulation model. After wavelet image processing and comparison of the ideal situation. Platform: |
Size: 5120 |
Author:以琳 |
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Description: SPEECH ENHANCEMENT BASED ON WAVELET DENOISING
Abstract: - Noise is an unwanted and inevitable interference in any form of communication. It is
non-informative and plays the role of sucking the intelligence of the original signal. Any kind of
processing of the signal contributes to the noise addition. A signal traveling through the channel
also gathers lots of noise. It degrades the quality of the information signal. The effect of noise
could be reduced only at the cost of the bandwidth of the channel which is again undesired as
bandwidth is a precious resource. Hence to regenerate original signal, it is tried to reduce the
power of the noise signal or in the other way, raise the power level of the informative signal, at
the receiver end this leads to improvement in the signal to noise ratio (SNR). There are several
ways in doing it and here the focus is on adaptive Signal processing new technique (Grazing
Estimation method) to improving the signal to noise ratio.-SPEECH ENHANCEMENT BASED ON WAVELET DENOISING
Abstract:- Noise is an unwanted and inevitable interference in any form of communication. It is
non-informative and plays the role of sucking the intelligence of the original signal. Any kind of
processing of the signal contributes to the noise addition. A signal traveling through the channel
also gathers lots of noise. It degrades the quality of the information signal. The effect of noise
could be reduced only at the cost of the bandwidth of the channel which is again undesired as
bandwidth is a precious resource. Hence to regenerate original signal, it is tried to reduce the
power of the noise signal or in the other way, raise the power level of the informative signal, at
the receiver end this leads to improvement in the signal to noise ratio (SNR). There are several
ways in doing it and here the focus is on adaptive Signal processing new technique (Grazing
Estimation method) to improving the signal to noise ratio. Platform: |
Size: 192512 |
Author:majid |
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Description: 心电信号在线数据知识化辅助诊断算法研究
摘 要:针对心电监护与诊断过程中数据量大、准确性和快速性要求高的特点,提出了一套基于数据知识化的心电
辅助诊断算法.该套算法包括数据识别、冗余处理、转换和提取过程,利用小波变换的多分辨率和抗干扰能力好的
特点,检测QRS波、P波、T波,提高了特征检测的准确性 利用聚类分析具有较好的鲁棒性和适合于大数据量分析
的特点,对QRS进行波形分类 算法结合了单独一搏诊断和串诊断以及多参数综合分析.采用MIT-BIH标准心电
数据库中的部分数据和心电专家确诊的心律失常数据文件对该算法进行了评估,检出率都在95 以上,表明该套
算法对部分心律失常可以进行有效分析.
-A series of data knowledge discovery based electrocardiograph (ECG) auxiliary diagnosis algo-
rithms were presented against the characteristics of huge data quantum, high accuracy and rapidity de-
mands in the ECG monitor and diagnosis process. The algorithm consists of several stages, including data
distinguishing, data redundant processing, data conversion and data extraction. The characteristics of
wavelet transform, multiresolution and high anti-interference, were used to detect QRS, P and T waves
and improve the accuracy of character detection. Clustering analysis characterized by better robustness and
capability to analyze huge data quantum was used to classify QRS wave. The algorithm combines diagnosis
based on one beat, string diagnosis and comprehensive analysis with multiparameters. Verified by partial
data of MIT-BIH standard ECG database and arrhythmia data files diagnosed by ECG experts, the detect-
ability exceeded 95 , which showed that the algorithm could analy Platform: |
Size: 68608 |
Author:Shi |
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Description: 小波分析有它独特的特点。它的压缩比高、压缩速度快 ,
压缩后能保持信号与图像的特征基本不变 ,且在传递过程中可以抗干扰。可以克服传统方法产生的缺陷 ,因此获得了较好的压缩效果。
-Wavelet analysis has its unique characteristics. Its high compression ratio, compression speed, compressed to maintain the basic characteristics of the signal and image change, and the interference in the transmission process can be. Can overcome the shortcomings of traditional methods of production, so get good compression. Platform: |
Size: 1024 |
Author:强强 |
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Description: 对一个二阶模型模型进行脉冲响应辨识，并且通过搭建simulink模型取得了两组输入-输出数据，一组是在有高斯噪声的干扰下获得u1-y3，另外一组是在没有高斯噪声的情况下获得的u1-y1，对这两组数据进行基于haar小波基的脉冲响应辨识，与实际模型的脉冲响应相比较（注：三个excel表必须放在matlab/work文件夹下才能运行）-Second-order model to a model of impulse response identification, and achieved through building simulink model for two groups of input- output data, a Gaussian noise in the interference with access to u1-y3, another group in the absence of Gaussian noise of access to the u1-y1, these two sets of data haar Wavelet-based impulse response identification, and the actual model of the impulse response comparison (Note: Three excel table must be on the matlab/work folder to run ) Platform: |
Size: 35840 |
Author:郜娜 |
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Description: 通过施加滑动数据窗的方式，总剪取实时数据的最新一段，再利用区间小波降噪算法，构造出实时小波降噪算法。实时
降噪计算量通过选用正交紧支撑小波和限制小波分解深度降低。区间小波变换的边界干扰通过数据输出的时间延迟避免。引
入冗余采样数据消除数据更新的时间滞后。用仿真实验验证了算法的降噪能力。-A moving window is adopted tO extract the last segments of real—time updating data，the extracted
data segment is decomposed through wavelet de——noising algorithm in interval tO form the real——time de——noising
algorithm．Calculation complexity is reduced by using orthogonal wavelet with compact support and limiting
wavelet decomposition depth． Edge interference is turn away by time～delayed data output．Redundant data
sampling is imported tO avoid the time—delay in real—time data updating．The algorithm is verified with simulated
test． Platform: |
Size: 146432 |
Author:王华 |
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Description: Narrowband Interference Suppression in DSSS System Based on Frequency
Shift Wavelet Packet Transform-Narrowband Interference Suppression in DSSS System Based on Frequency
Shift Wavelet Packet Transform Platform: |
Size: 112640 |
Author:张洋 |
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Description: 认知无线电中基于小波变换和温度干扰估计的频谱感知,作者：QQ 64134703 ，电子毕业设计，欢迎咨询
-Cognitive radio interference based on wavelet transform and the estimated temperature sensing, on: QQ 64134703, e-graduate design, please consult Platform: |
Size: 753664 |
Author:黄先生 |
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Search - wavelet interference