aresmiki / FastCSDLLinks
a fast convolutional sparse dictionary learning algorithm, It can be applied to long one-dimensional signal processing. It doesn't need to divide long data into small segments to speed up the algorithm. It has low memory consumption and high computational efficiency.
☆14Updated 4 years ago
Alternatives and similar repositories for FastCSDL
Users that are interested in FastCSDL are comparing it to the libraries listed below
Sorting:
- The Matlab code of blind deconvolution based on criterion defined by envelope spectrum☆17Updated 4 years ago
- This is the Matlab code of the blind deconvolution based on the ratio of cyclic content (BD-RCC). BD-RCC can be used to recover repetitiv…☆24Updated 4 years ago
- Imporved AdamP called AMSGradP is suitable for intelligent fault diagnosis (故障诊断)☆11Updated 3 years ago
- MATLAB codes for "Frequency Estimation of Vibration Signals: A Subspace Approach for Bearing Fault Diagnosis"☆28Updated last year
- MATLAB codes for "Bearing fault diagnosis with frequency sparsity learning"☆31Updated 3 years ago
- FDS-MOMEDA: Optimization-Blind Deconvolution in Finite High-Dimensional Spaces for Extracting Pulse Signal in Rolling Bearing Fault Diagn…☆11Updated last year
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆16Updated 3 years ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆44Updated 5 years ago
- Subband averaging kurtogram (SAK), incorporating with dual-tree complex wavelet packet transform (DTCWPT), to improve performance of the …☆12Updated 4 years ago
- Multiscale reduction clustering of vibration signals for unsupervised diagnosis of machine faults☆17Updated last year
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 4 years ago
- Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors☆23Updated 3 years ago
- MATLAB codes for "Group-sparsity learning approach for bearing fault diagnosis"☆15Updated 3 years ago
- Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network☆13Updated 4 years ago
- 一些在振动信号重构中应用的稀疏重构算法☆42Updated 5 years ago
- An ensemble bagged trees classification approach for monitoring of the engine conditions and fault diagnosis using Visual Dot Patterns of…☆18Updated 3 years ago
- 一种新的基于动态图注意力网络和标签传播策略的半监督故障诊断方法☆38Updated 2 years ago
- ☆12Updated 3 years ago
- Matlab Predictive Maintenance Toolbox Introduction☆11Updated 3 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆17Updated 6 years ago
- Variance discrepancy representation☆13Updated last year
- Adaptive Variational Nonlinear Chirp Mode Decomposition☆28Updated 3 years ago
- Empirical Fourier decomposition: An accurate signal decomposition method for nonlinear and non-stationary time series analysis☆14Updated 3 years ago
- 基于LabVIEW,可由故障齿轮箱振动信号生成时域图、频谱图、倒频谱图和包络谱图☆16Updated 5 years ago
- 利用最小二乘支持向量机进行分类器建模,改进鲸鱼算法(基于冯洛伊曼拓扑的鲸鱼算法)进行超参数寻优☆49Updated 6 years ago
- Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)☆17Updated 5 years ago
- WT-planetary-gearbox-datasets☆84Updated 3 months ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆62Updated 4 years ago
- ☆21Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆34Updated 2 years ago