In the present paper, the theoretical basis of autoregressive (AR) modelling in spectral
analysis is explained in simple terms. Spectral analysis gives information about the frequency …

In this paper, image noise characterization based on digital camera RAW data is studied
and three different imaging technologies are compared. The three digital cameras used are …

In the present paper, the theoretical background of multivariate autoregressive modelling (MAR)
is explained. The motivation for MAR modelling is the need to study the linear …

… Reijo Takalo, MD, PhD,1 Heli Hytti, MSc(Tech)2 and Heimo Ihalainen, MSc(Tech)2 …

This paper presents improved autoregressive modelling (AR) to reduce noise in SPECT
images. An AR filter was applied to prefilter projection images and postfilter ordered subset …

In the present paper, a 2-dimensional adaptive autoregressive filter is proposed for noise
reduction in images degraded with Poisson noise. In autoregressive models, each value of an …

Nutritional status has a significant effect on general health, functioning, immune system and
recovery from different illnesses and operations. However, malnutrition is a common problem…

Ravitsemustilalla on keskeinen merkitys terveydentilalle, toimintakyvylle, sairauksien
vastustuskyvylle ja toipumiselle erilaisista sairauksista ja toimenpiteistä. Vajaaravitsemus on …

Ultrasonic waves have been applied in non-destructive testing for decades. Development of
new sensors and transducers for actuating and detecting the ultrasonic guided waves has …

Autoregressive models in image processing are linear prediction models that split an image
into a predicted (ie filtered) image and a prediction error image, which extracts data on the …