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Three-non-stationary-time-frequency-signal
- 三种非平稳信号时频分析的方法 窗口傅里叶变换、wigner分布和小波变换-Three non-stationary time-frequency analysis window Fourier transform, wigner distribution and wavelet transform
TomDickMaryDiscovertheDFT
- 详细阐述了离散时间信号的傅里叶变换，能更好的理解四种傅里叶变换之间的关系，由其中一种怎么推导出另一种-Detailed discrete-time Fourier transform signal can be a better understanding of the relationship between the four types of Fourier transform, from one of how to derive an alternative
HHT
- 一篇关于希尔伯特黄变换在地震信号处理方面的理论研究，里面对其具体的算法进行了设计和讲解，对以后地震信号的深入研究提供了一个参考。-Article on the Hilbert Huang transform in seismic signal processing theory, which carried out its specific algorithm and explain the design of future-depth study of the seismic signal p
xiaobozengqiang
- 弱信号增强处理是探地雷达数据处理中的一个重要环节，而且是探地雷达数据处理难以解决的问题。弱信号在两 方面使其不易于直接从探测剖面上识别出来：一是本身信号强度小且受到随机噪声的干扰；二是存在浅部强信号的明显反 差，视图上难以识别。本文根据小波变换的特征提出一种信号增强方法，即多尺度小波变换信号增强法。-Ground-penetrating radar based on wavelet transform weak signal enhancement
fractionalfouriertransformandradar
- 关于信号处理中分数阶傅里叶变换的最新研究算法、研究动态、发展方向，MTI雷达小目标检测最新论文-About the newest research results of fractional fourier transform in signal processing,including resesrch algorithms,research trends and development direction.Another is detecting small target in MTI ra
Compression-perception-theory-
- 压缩感知理论及其研究进展,文综述了cs理论框架及关键技术问题，并着重介绍了信号稀疏变换、观测矩阵设计和重构算法三个方面的最新进展，是一篇综述。-Compression perception theory and research progress, cs paper reviews the theoretical framework and key technical issues and focuses on the latest developments signal sparse tran
Rule-based-classification-
- This paper presents a rule-based approach for the classification of power quality disturbances. The disturbed signal is first characterized using the multi-resolution S-transform, which acts as a feature extraction tool. Then, a simple but robust
[first_author]_2014_Digital-Signal-Processing
- This study proposes a novel near infrared face recognition algorithm based on a combination of both local and global features. In this method local features are extracted from partitioned images by means of undecimated discrete wavelet transform
daan
- 学习傅里叶变换的有关内容，还可以学习信号处理的过程-Learning about the contents of the Fourier transform, the learning process can also signal processing, etc.
2464613103
- 基于小波变换和 HHT 的分布式并网系统谐波检测方法。 该方法利用小波变换多分辨率分析思想对信号进行划分，并对划分后的信号进行经验模态分解，得到一系列的经验模态函数IMF，并从 IMF分量中提取出基波分量和高次谐波；再对IMF分量进行Hilbert 变换得到信号的频率、幅值信息。-Wavelet transform and HHT based distributed systems and network harmonic detection method. The method use
AJP000794timefrequency
- The continuous wavelet transform can be used to produce spectrograms which show the frequency content of sounds ~or other signals! as a function of time in a manner analogous to sheet music. While this technique is commonly used in the engineerin
04721349
- Speech Based Watermarking for Digital Images This paper presents a novel scheme of watermarking of digital images for copyright protection and authentication. In this paper we proposed a method of embedding owner’s speech signal. Speech being
createbinaryImage-(2)
- here are several existing approaches for computing localized frequency information. These approaches are advantageous because unlike the Fourier transform, these filters can more easily represent discontinuities in the signal. For example, the Fourie