Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Novel Blaschke Unwinding Adaptive Fourier Decomposition based Signal
  Compression Algorithm with Application on ECG Signals   This paper presents a novel signal compression algorithm based on the
Blaschke unwinding adaptive Fourier decomposition (AFD). The Blaschke unwinding
AFD is a newly developed signal decomposition theory. It utilizes the
Nevanlinna factorization and the maximal selection principle in each
decomposition step, and achieves a faster convergence rate with higher
fidelity. The proposed compression algorithm is applied to the
electrocardiogram signal. To assess the performance of the proposed compression
algorithm, in addition to the generic assessment criteria, we consider the less
discussed criteria related to the clinical needs -- for the heart rate
variability analysis purpose, how accurate the R peak information is preserved
is evaluated. The experiments are conducted on the MIT-BIH arrhythmia benchmark
database. The results show that the proposed algorithm performs better than
other state-of-the-art approaches. Meanwhile, it also well preserves the R peak
information.

4
The categories of this paper are: cond-mat
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
28
The categories of this paper are: alg-geom
27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
31
The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int
9
The categories of this paper are: nlin
7
The categories of this paper are: hep-th
18
The categories of this paper are: econ