Description: 采用db1基本小波来分解信号,比较第三层近似信号与原始信号,重构最大误差,比较第三层近似信号与原始信号.-used db1 to the basic wavelet decomposition signal, the third layer approximate comparison with the original signal signal, the largest reconstruction error Comparing the third layer similar to the original signal with the signal. Platform: |
Size: 1187 |
Author:张堃 |
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Description: 稀疏分解信号重建程序，利用匹配追踪原理不断对信号匹配，最后达到重建信号目的。-sparse decomposition signal reconstruction procedures, the use of matching principle constantly tracking the signal matching, Finally signal to the redevelopment purposes. Platform: |
Size: 234803 |
Author:fanghui20006 |
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Description: 对一维信号进行小波分解和重构的C程序，绝对误差为10^-11.1）主程序：Mallat.c2）一维信号的输入文件：wdata.dat2）分解重构过程中产生的数据的文件：Data.txt-right one-dimensional signal wavelet decomposition and reconstruction of C procedure, the absolute error of 10 ^-11.1) main program : Mallat.c2) one-dimensional signal input documents : wdata.dat2) decomposition of the reconfiguration process the data in the paper : Data.txt Platform: |
Size: 240640 |
Author:李勃东 |
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Description: 采用db1基本小波来分解信号,比较第三层近似信号与原始信号,重构最大误差,比较第三层近似信号与原始信号.-used db1 to the basic wavelet decomposition signal, the third layer approximate comparison with the original signal signal, the largest reconstruction error Comparing the third layer similar to the original signal with the signal. Platform: |
Size: 1024 |
Author:张堃 |
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Description: 稀疏分解信号重建程序，利用匹配追踪原理不断对信号匹配，最后达到重建信号目的。-sparse decomposition signal reconstruction procedures, the use of matching principle constantly tracking the signal matching, Finally signal to the redevelopment purposes. Platform: |
Size: 234496 |
Author:fanghui20006 |
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Description: 此为利用小波变换模极大重建原信号的源代码，已精心调试过，请放心使用.-This is the use of wavelet transform modulus maxima reconstruction of the original signal Platform: |
Size: 7168 |
Author:王登位 |
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Description: 基于线性预测系数(LPC)的语音信号重构。给出了完整的LPC matlab程序，包括语音信号采集，LP预测系数，阶数的选择以及预测结果误差曲线。（很好用）-Based on the linear prediction coefficient (LPC) voice signal reconstruction. Given a complete LPC matlab procedures, including voice signal acquisition, LP prediction coefficient, the order of choice and the forecast error curve. (Good use) Platform: |
Size: 195584 |
Author:孙琨 |
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Description: 1）验证抽样定理。
2）掌握用数字方式分析模拟信号的频谱的基本原理。
3）掌握理想内插方式重构模拟信号。
4）掌握衡量模拟信号相似程度的参数。
-1) verify the sampling theorem. 2) have used digital spectrum analysis of analog signals of the basic principles. 3) interpolation ideal way to master analog signal reconstruction. 4) have measured similar to the level of analog signal parameters. Platform: |
Size: 24576 |
Author:hsf |
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Description: 这个程序是用来显示经过经验模态分解后所得的各个固有模态函数和残余信号，以及由它们重建的信号。-This procedure is used to show through after EMD from various intrinsic mode function and the residual signal, as well as the reconstruction of the signal from them. Platform: |
Size: 1024 |
Author:侯丽霞 |
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Description: 信号的采样与重建，对已知连续信号进行采样，然后通过离散信号恢复原始信号。-Signal sampling and reconstruction of continuous signals to known samples, and then restore the original signal through the discrete signal. Platform: |
Size: 1024 |
Author:lipinglin |
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Description: 基于小波变换的碰磨故障信号的特征提取，可以画出信号原图，轴心轨迹，频谱图以及多层小波变换的重构信号-Based on wavelet transform rubbing fault signal feature extraction, the signal can be drawn artwork, orbit, spectrum and signal reconstruction wavelet multi- Platform: |
Size: 8642560 |
Author:cxm |
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Description: 重构是用分解得到的多分辨率下的小波系数，将多尺度小波合成原信号.不是分解完了马上重构的，中间可能有去噪的过程啊，压缩的过程.-Reconstruction is under multi-resolution decomposition of the wavelet coefficients, the wavelet multi-scale synthesis of the original signal reconstruction is not immediately broken down over the middle may have de-noising process ah, the compression process. Platform: |
Size: 49152 |
Author:juanjuan0724 |
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Description: 压缩感知可以用远低于奈奎斯特速率对信号进行采样，然后用重构算法对测量的信号进行重构，这程序就是CS的重构算法。-Compressed sensing can be used far less than the Nyquist sampling rate of the signal, and then use the measurement signal reconstruction algorithm to reconstruct this program is CS reconstruction algorithms. Platform: |
Size: 10240 |
Author:dong kai |
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Description: The following Matlab project contains the source code and Matlab examples used for orthogonal least squares algorithms for sparse signal reconstruction. Added after previous version ols_gp: Sparse reconstruction by Orthogonal Least Squares followed by Gradient Pursuit ols_nomp: Sparse reconstruction by Orthogonal Least Squares followed by Approximate Conjugate Gradient Pursuit ols_pcgp: Sparse reconstruction by Orthogonal Least Squares followed by Partial Conjugate Gradient Pursuit
The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there. Platform: |
Size: 16384 |
Author:choesongil |
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