Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Performance Analysis for Data Compression Based Signal Classification
  Methods   In this paper, we present an information theoretic analysis of the blind
signal classification algorithm. We show that the algorithm is equivalent to a
Maximum A Posteriori (MAP) estimator based on estimated parametric probability
models. We prove a lower bound on the error exponents of the parametric model
estimation. It is shown that the estimated model parameters converge in
probability to the true model parameters except some small bias terms.

12
The categories of this paper are: nucl-th
7
The categories of this paper are: hep-th
29
The categories of this paper are: funct-an
8
The categories of this paper are: hep-ex
18
The categories of this paper are: econ
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
24
The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci
27
The categories of this paper are: comp-gas
3
The categories of this paper are: physics
32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
19
The categories of this paper are: eess
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph