搜索资源列表
zuoyinxiaoboquzao
- 小波去噪，应用于人的语音信号处理中。包含有程序以及运行的结果。-wavelet,denoise
xiaobo
- 利用小波技术对原始信号进行重构与去噪，结果表明效果很好-Wavelet technique to reconstruct the original signal and noise removal, the results show that good results
BasedonWaveletTransformSingularityDetectionandDeno
- 基于小波变换的信号奇异性检测及去噪例程,希望对学习的同学有所帮助-Based on Wavelet Transform singularity detection and denoising routines, hope to help students learn
adaptivethreshold
- 自适应阈值滤波程序，广泛应用于去噪等信号处理领域-Adaptive threshold filter program, widely used in signal processing such as denoising
example1
- 基于小波变换的信号奇异性检测及去噪例程。-Based on Wavelet Transform Singularity Detection and Denoising routines.
walvetnosiedepression
- 语音增强中的小波去噪，主要是抑制细节信号中，进行清音浊音判别，进行阈值选取-wavlet
xy
- 是关于小波去噪在地震信号中的引用，检测地震信号-Is the seismic signal on the wavelet denoising the reference in the detection of seismic signal
1
- 将白噪声和瑞丽分布的噪声模拟为信号的背景噪声，分别通过小波去噪，EMD去噪，EMD结合小波去噪的方法来进行背景噪声去噪分析。-Ruili, the distribution of white noise and the noise modeled as background noise signals, respectively, through the Wavelet denoising, EMD denoising, EMD combined with wavelet denoising a
Reverberation
- • Plot the noisy speech signal both in time-domain and frequency-domain. • 进行含噪语音信号的时频分析 • Design a proper filter to remove noise from the speech signal. • 设计合适滤波器进行去噪 • Plot the clean signal both in time-domain
Seismic_EMD_Analysis
- 可以通过此程序信号处理，去噪效果明显，得出的结果较好。希望大家满意.-Signal processing through this process, denoising effect is obvious, the result is good. Hope you satisfied.
wavelet_denoised
- 利用小波分析对污染信号进行去噪处理以恢复原始信号-Signal by wavelet analysis denoising of pollution to restore the original signal
xiaoboquzao
- 对采集的信号进行去噪滤波，再重构以使得到的图像更加清晰准确-The collected signal denoising filter, and then reconstruct the image in order to get a more clear and accurate
example1
- 小波变换的信号奇异性检测及去噪例程，此码为matlab语言-Wavelet Transform Singularity Detection and Denoising routine
FIR
- 音乐信号滤波去噪——使用最优等波纹法设计的FIR滤波器-Music signal filtering denoising- Using the optimal equiripple FIR filter design method
Surfacelet
- 文将3D Context模型应用于 Surfacelet变换域 ,提出一种新的视频去噪方法. Surfacelet变换(ST)是一种 新的3D变换 ,具有多方向分解、 各向异性和低冗余度等性质. 根据视频信号 ST域内系数和噪声分布的特征 ,将 2D Context 模型拓展到3D ,按照能量分布将 ST系数分成多个子块 ,每个子块有独立的能量和阈值估计.实验结果表明 ,本 文算法噪声抑制效果明显优于分层 2D去噪声方法和其它现有的 3D方法 ,去噪视频的 PSNR值提高了约 2dB
matlab11
- 对有噪信号采用4种不同的阈值算法，实现信号的去噪-In noisy signal in 4 different threshold algorithm, realize signal denoising
cwdenoise
- 复小波分解的程序，对信号进行去噪，只有一个程序，实现复小波的分解-Complex wavelet decomposition process, the signal denoising, only one procedure to achieve the decomposition of complex wavelet
Wavelet-Denoising
- 本程序是对一个小信号波形进行去噪处理，随后变换成频域和时域的波形-This program is a small signal waveform denoising, and then transformed into the frequency domain and time domain waveforms
wavelet_example
- 一维信号的去噪 能够很好的去除噪声，很好地保留原信号-denoising of singal
wave1
- 自定义信号，用于梯形边界奇异点检测matlab代码， 和三个小波去噪分解的代码-Custom signal singularity detection for trapezoidal matlab code boundary, and three wavelet denoising decomposition code