Detection of multicomponent signals: effect of difference in level between components.

J Acoust Soc Am

Laboratoire deMécanique et d'Acoustique, Unité Propre de Recherche 7051, Centre National de la Recherche Scientifique, 31 chemin Joseph-Aiguier, 13402 Marseille, France.

Published: November 2011

The detection of multicomponent signals for which the components are not equidetectable is precisely investigated as a function of the level difference ΔL(i∕j) between components. The detection thresholds are determined for a seven-tone complex signal with random starting phases masked by white noise. Level differences between the components are examined. A model for non-equidetectable conditions based on the statistical summation model is described. The improvement in detection is calculated from the level difference between components that is related to the thresholds for single components. The model predictions are in accordance with the experimental results.

Download full-text PDF

Source
http://dx.doi.org/10.1121/1.3637364DOI Listing

Publication Analysis

Top Keywords

detection multicomponent
8
multicomponent signals
8
components detection
8
level difference
8
components
6
detection
4
signals difference
4
level
4
difference level
4
level components
4

Similar Publications

Understanding the deterioration processes in wooden artefacts is essential for accurately assessing their conservation status and developing effective preservation strategies. Advanced imaging techniques are currently being explored to study the impact of chemical changes on the structural and mechanical properties of wood. Nonlinear optical modalities, including second harmonic generation (SHG) and two-photon excited fluorescence (TPEF), combined with fluorescence lifetime imaging microscopy (FLIM), offer a promising non-destructive diagnostic method for evaluating lignocellulose-based materials.

View Article and Find Full Text PDF

Manual segmentation of lesions, required for radiotherapy planning and follow-up, is time-consuming and error-prone. Automatic detection and segmentation can assist radiologists in these tasks. This work explores the automated detection and segmentation of brain metastases (BMs) in longitudinal MRIs.

View Article and Find Full Text PDF

As consumers increasingly prioritize food safety and nutritional value, the dairy industry faces a pressing need for rapid and accurate methods to detect essential nutritional components in milk, such as fat, protein, and lactose. Hyperspectral imaging (HSI) technology, known for its non-destructive, fast, and precise nature, shows great promise in food quality assessment. However, the high dimensionality of HSI data poses challenges for effective band selection and model optimization.

View Article and Find Full Text PDF

Micellar liquid chromatography (MLC) has proven beneficial efficiency and ecological impact for routine quality control activities. In the proposed study, cyrene was investigated for the first time, together with other green additives, as a novel safe organic solvent in reversed-phase MLC. Quality-by-design (QbD) approach screened their effect on the separation performance.

View Article and Find Full Text PDF

Congelex Laxative Granules is an in-house preparation of Hebei Provincial Hospital of Traditional Chinese Medicine. This study aims to establish the HPLC fingerprint of Congelex Laxative Granules and evaluate its quality using chemometric methods. The Agilent Eclipse Plus C18 column and a methanol-water gradient elution system were employed, with detection at 224 nm.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!