US Patent No. 10,394,985

APPARATUS AND METHOD FOR MODELING RANDOM PROCESS USING REDUCED LENGTH LEAST-SQUARES AUTOREGRESSIVE PARAMETER ESTIMATION


Patent No. 10,394,985
Issue Date August 27, 2019
Title Apparatus And Method For Modeling Random Process Using Reduced Length Least-squares Autoregressive Parameter Estimation
Inventorship Binnan Zhuang, San Diego, CA (US)
Dongwoon Bai, San Diego, CA (US)
Jungwon Lee, San Diego, CA (US)
Assignee Samsung Electronics Co., Ltd., (KR)

Claim of US Patent No. 10,394,985

1. An apparatus, comprising:an autocorrelation processor, configured to generate or estimate autocorrelations of length m for a stochastic process, where m is an integer; and
a least-squares (LS) estimation processor connected to the autocorrelation processor and configured to model the stochastic process by estimating pth order autoregressive (AR) parameters using LS regression, where p is an integer less than m.