# [PDF] Top 20 Sparse Time-Frequency Data Analysis: A Multi-Scale Approach

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### Sparse Time-Frequency Data Analysis: A Multi-Scale Approach

... This **approach** helps us to find a sparser representation compared to the case in which one uses a normal envelope dictionary ...the **time**-**frequency** domain, the reduction of the parameter λ is always ... See full document

197

### Multi-frequency scale Gaussian regression for noisy time-series data

... to **time**-series **data** **analysis**. To extract from the **data** separate components with different **frequency** scales, the Gaussian regression methodology is extended through the use of multiple ... See full document

6

### Multi-scale Jump and Volatility Analysis for. High-Frequency Financial Data

... based **multi**-**scale** **approach** to perform efficient jump and volatility **analysis** for high-**frequency** ...handle **data** with both microstructure noise and jumps in prices, providing ... See full document

40

### Data-driven time-frequency analysis of multivariate data

... real-world **multi**-exposure images shown in Figure ...a **multi**-resolution wavelet-based fusion scheme is also used: the Discrete Wavelet transform (DWT) was first applied to both input images to obtain their ... See full document

169

### Multi-scale Sparse Coding With Anomaly Detection And Classification

... standard **sparse** error-coding frame- work is that anomalies at all scales are treated the ...the **data**. The wavelet transform is a **multi**-**scale** **time**-**frequency** transform that with ... See full document

5

### Time-scale and memory in financial time series: a data mining approach

... Financial **time** series **analysis** is a highly empirical discipline concerned with the evo- lution of the price of an ...financial **time** series from **time** series of other scientific domains is the ... See full document

239

### Multi-Scale Approach for the Electromagnetic Simulation of Finite Size and Thick Frequency Selective Surfaces

... wide **frequency** band under an oblique incidence plane wave ...computation **time** is significantly reduced when using SCT-based software compared with the FEM simulation ...full-wave **analysis** tools that ... See full document

15

### Frequency-splitting Dynamic MRI Reconstruction using Multi-scale 3D Convolutional Sparse Coding and Automatic Parameter Selection

... learning **approach**, can be adapted to features from input **data** by training ...of **time**-axis. Eﬃcient convolutional **sparse** coding (CSC) is then introduced by minimizing an energy objective ... See full document

48

### Multi-scale analysis of linear data in a two-dimensional space

... alternative **approach** to represent **time** series and overcomes the difficulty of traditional approaches in visualising **time** series at multiple ...of **time** intervals initially proposed by Kulpa 12, ... See full document

21

### Frequency domain analysis and simulation of multi-channel complex-valued time series

... estimation **approach** utilizing K **data** taper sequences, for a finite K, is ...recorded **data** set. It would be interesting to extend the **analysis** to a bivariate complex-valued **time** series, ... See full document

207

### MULTI-SCALE SPARSE DOMINATION

... In the general case we replace the couple of pairs (S B 1 , S B 2 ∗ ) and (L p , L p 0 ) by the couple of pairs (V 1 , V 2 ) and (L p , L p 0 ) and see that a repetition of the above arguments settles this case as well. ... See full document

93

### Global Testing Against Sparse Alternatives in Time-Frequency Analysis

... 4. Discussion. Motivated by periodicity detection in complex-valued **time** series **analysis**, we investigated the hypothesis testing problem (1.6) under the linear model (1.4), where the frequencies of the ... See full document

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### Time Domain Sparse Representation for Multi-Aspect SAR Data of Targets

... TD **sparse** representation has advantages in avoiding noise ...measured **data** in the solving ...the **sparse** representation, we have to search the solution that makes Δ = || d − Ys || 2 2 + λ || s || 1 ... See full document

8

### Data envelopment analysis of clinics with sparse data: fuzzy clustering approach

... each **time** to determine the best set of weights which maximize the efficiency of the DMU under evaluation, while the weights should remain feasible for all the other ... See full document

25

### Commodity dynamics: a sparse multi-class approach

... A **Sparse** **Multi**-class **Approach** Luca Barbaglia ∗ , Ines Wilms, and Christophe Croux KU Leuven, Faculty of Economics and Business ...a **sparse** estimator of the **Multi**-class Vector ... See full document

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### Image classification based on sparse coding multi-scale spatial latent semantic analysis

... on **sparse** coding and **multi**-**scale** spatial latent se- mantic **analysis** is ...generate **multi**-**scale** spatial latent se- mantic information with high classification ... See full document

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### Densification of spatially-sparse legacy soil data at a national scale: a digital mapping approach

... soil **data** because most soil properties exhibit high variability over short distances, so much that the skills and expertise necessary to accurately record, measure and map such changes are prohibitive in terms of ... See full document

253

### Time-frequency Signature Sparse Reconstruction using Chirp Dictionary

... in **sparse** signal reconstruction for IF estimation for chirp signals and MicroDoppler ...dictionary **approach** may give inaccurate TF signal reconstruction due to violation of chirp piece-wise approximation of ... See full document

9

### Hybrid sparse and low-rank time-frequency signal decomposition

... short- **time** Fourier transform), that are naturally defined in the complex-valued domain though they are commonly used for the representation of real-valued ... See full document

6

### Sparse Multi Scale Grammars for Discriminative Latent Variable Parsing

... train **multi**- **scale** grammars of increasing latent complexity as described in Section 5, directly incorporating the additional features from Section 6 into the training ...testing **time** we marginalize ... See full document

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