Improved estimation of discrete probability density functions using multirate models Conference Paper

abstract

• For many decades, the problem of estimating a pdf based on measurements has been of interest to many researchers. Even though much work has been done in the area of pdf estimation, most of it was focused on. the continuous case. In this paper, we propose a new model based approach for estimating a discrete probability density function. This approach is based on multirate dsp theory, and it has several advantages over the traditional histogram method. It is shown that this method yields an unbiased pdf estimate with small variance, which is guaranteed to have a smaller estimation error than the histogram. Simulation results are given, which show the merit of the proposed method.

authors

• Yoon, Byung-Jun

published proceedings

• Conference Record of the Asilomar Conference on Signals, Systems and Computers

author list (cited authors)

• Yoon, B. J., & Vaidyanathan, P. P.

complete list of authors

• Yoon, BJ||Vaidyanathan, PP

publication date

• December 2003

published in

• Conference record / Asilomar Conference on Signals, Systems & Computers. Asilomar Conference on Signals, Systems & Computers  Journal

start page

• 1188

end page

• 1192

volume

• 1