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在理解了离散小波变换的基本原理和算法的基础上,通过设计VC程序对简单的一维信 号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波和Haar小波变换,从而得到小波分解系数;再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的。在这一程序实现的过程中能直观地理解信号小波分解重构的过程和在信号消噪中的重要作用,以及在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。-In understanding the basis of discrete wavelet
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小波去噪,分程3种,第一对信号进行强制消噪处理并图示结果;第二用默认阈值对信号进行消噪处理并图示结果;第三用给定的软阈值进行消噪处理。以及运行图。-Denoising , sub-way three kinds , the first pair of signal processing and noise cancellation forced the results shown second by default thresholds for signal processing and i
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A behavioral descr iption of a noise cancellation based on audio detection or RF detection, written in a synthesizable subset of VHDL.
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自适应噪声抵消,采用最小均方误差算法,适合处理生物信号-Adaptive noise cancellation, using minimum mean square error algorithm for processing biological signals
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noise cancellation matlab m-files
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自适应滤波器的最小均方误差算法的实现(使用MATLAB),用于system identification和noise cancellation.-MATLAB minimum mean square error of the adaptive filter algorithm for system identification and noise cancellation.
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基于小波变换的局部放电信号消噪技术研究,包括程序和参考文献。-Noise cancellation technology research partial discharge signal based on wavelet transform, including the program and reference papers.
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A good Code for Wiener filter.. Tested Ok!
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关于OFDM的论文,希望对大家有帮助:Clipping Noise Cancellation for OFDM and OFDMA Systems Using Compressed Sensing(printed)-Clipping Noise Cancellation for OFDM and OFDMA Systems Using Compressed Sensing(printed)
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该文章主要介绍自适应噪声对消滤波器的仿真机FPGA实现-The article mainly introduces the adaptive noise cancellation filter simulator FPGA implementation
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MATALAB实现的基于极大值消噪算法,有一定参考价值。-MATALAB achieve noise cancellation algorithm based on the maximum value, there is a certain reference value.
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Active noise cancellation simulation code
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Adaptive Noise Cancellation
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很好的有关高斯去噪的算法,很实用,效果很好-Good about the Gaussian noise cancellation algorithm, very practical, very good
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基于MATLAB语言,分别用不同小波对一图象分解,观察高低频部分进行重构,比较重构误差,再进行阈值消 噪,比较消噪前后图象。-Based on MATLAB language, respectively, with different wavelet decomposition of an image, observe high frequency part of the reconstruction, comparative reconstruction error, then the thr
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本实验是介绍最佳滤波器在噪声抵消中的应用。令x(n)=d(n)+g(n) ,其中d(n) 是谐波过程d(n)=sin(nw+fai),其中w=0.05π,fai是在π 到-π 间均匀分布的随机变量。
-This experiment is to introduce the best filter in Noise Cancellation
x(n)=d(n)+g(n) d(n)=sin(nw+fai) w=0.05π
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介绍小波变换中常用的阈值获取函数和消噪函数-Describes commonly used wavelet transform threshold acquiring function and noise cancellation function
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noise cancellation using lms algorithm
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lms algorithm Noise Cancellation
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lms算法,给出噪声消除误差lms algorithm, given the noise cancellation error-lms algorithm, given the noise cancellation error
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