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qiyizhiquzao
- 这个程序主要是试验一下 SVD 在语音信号去噪中的应用；-This program is mainly to test the application of the SVD in the speech signal denoising
ksvdbox
- 经典的ksvd字典学习算法,可用于信号去噪,图像重建等-Classical ksvd dictionary learning algorithm can be used to signal denoising, image reconstruction
signal-denoise
- 一种在非平稳环境下混沌信号的小波去噪方法，很适合用在实际场合中。-A non-stationary environment wavelet denoising method of chaotic signals, it is suitable for use in practical situations.
denoise_self
- 基于matlab程序对声音信号进行去噪处理，通过小波包处理及小波分析结合-Matlab program based on the sound signal denoising by wavelet packet processing and wavelet analysis combined
1HIBERT
- hilbert提取心音包络.此程序包含心音信号的低通滤波、小波去噪、EMD分解、希尔伯特黄变换以及心音阈值定位一系列算法。-hilbert extract PCG envelope low pass filter This program contains heart sound signals, wavelet de-noising, EMD decomposition, Hilbert-Huang transform and heart sound threshold locate a se
wavelet-wavelep-filter
- 本程序实现小波和小波包滤波，，对高频部分进行处理对一维信号进行处理，得到重构去噪后的信号，代码调试通过-This procedure realize wavelet and wavelet packet filtering, and the high frequency part of the process of one dimensional signal processing, reconstruction after denoising signal, code debugging th
yenlan-V8.1
- 包括AHP，因子分析，回归分析，聚类分析，音频信号通过LM386放大，sar图像去噪的几种新的方法。- Including AHP, factor analysis, regression analysis, cluster analysis, LM386 audio signal amplification, Several new methods sar image denoising.
bouneilei
- sar图像去噪的几种新的方法，分析了该信号的时域、频域、倒谱，循环谱等,是信号处理的基础。- Several new methods sar image denoising, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Is the basis of the signal processing.
dx862
- sar图像去噪的几种新的方法，分析了该信号的时域、频域、倒谱，循环谱等,有PMUSIC 校正前和校正后的比较。- Several new methods sar image denoising, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. A relatively before correction and after correction PMUSIC.
acwbu
- 基于chebyshev的水声信号分析，sar图像去噪的几种新的方法，详细画出了时域和频域的相关图。- Based chebyshev underwater acoustic signal analysis, Several new methods sar image denoising, Correlation diagram shown in detail the time domain and frequency domain.