In this atiicle a neu IXX data compression teckniqw is proposed. The method relies on mod&ng quasi-periodic IXC signals as a dynamic Fourier series. Fourier coefJicients are cont~~uo~is~ e~ytimated r&rag either an ET algayititm or the adaptive leust mean spare a~~~'t~rn. Results from simulated norma
ECG data compression using adaptive Fourier coefficients estimation
β Scribed by H.A.M. Al-Nashash
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 607 KB
- Volume
- 16
- Category
- Article
- ISSN
- 1350-4533
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This paper presents a method for ECG data compression. The method is based on an orthogonal transform based on discrete Legendre polynomials. The use of such a transform provides several advantages for compressing ECG signals when compared with conventional Fourier or cosine transforms. We also have
## Abstract This article discusses the use of Bayesian methods for estimating logit demand models using __aggregate__ data. We analyze two different demand systems: independent samples and consumer panel. Under the first system, there is a different and independent random sample of __N__ consumers