Optimized neural networks for modeling of loudspeaker directivity diagrams

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschung

Authors

For the electro-acoustical simulation of sound reinforcement systems, calculation and simulation of the sound field distribution requires measurement and storage of the frequency dependent directivity characteristics (level and phase) of the used loudspeaker models. In modern simulation programs, the spatial resolution can be less than five degrees in third - or even twelfth - octave frequency bands. Therefore, modeling of the directivity diagram of loudspeakers can reduce storage place and simulation time and may even increase the accuracy of the simulation. Modeling - in the sense of mapping the resulting enormous amount of measured data - can be realized very efficiently and with small approximation error using second order neural networks. To reduce the model development time, we in addition created a new adaptation rule for feedforward neural networks with improved convergence behavior. This is achieved only by using the training data and the output error to analytically determine values for the learning parameters momentum and learning rate in each learning step. We will show the advantages of using neural networks with optimized learning parameters by the example of modeling measured directional response patterns of two real loudspeakers. For measurement we used maximum length sequences (MLSSA).

OriginalspracheEnglisch
Titel2001 IEEE International Conference on Acoustics, Speech, and Signal Processing : Proceedings
Anzahl der Seiten4
Band2
VerlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Erscheinungsdatum05.2001
Seiten1285-1288
ISBN (Print)0-7803-7041-4 , 0-7803-7042-2
DOIs
PublikationsstatusErschienen - 05.2001
VeranstaltungIEEE International Conference on Acoustics, Speech, and Signal Processing 2001 - Salt Lake City, USA / Vereinigte Staaten
Dauer: 07.05.200111.05.2001

Bibliographische Notiz

Titel d. Bandes: Speech processing 2, industry technology track, design & implementation of signal processing systems, neural networks for signal processing. ISSN: 1520-6149

DOI

Zuletzt angesehen

Forschende

  1. Marcus Erben

Publikationen

  1. Primary Side Circuit Design of a Multi-coil Inductive System for Powering Wireless Sensors
  2. Sliding Mode Control of an Inductive Power Transmission System with Maximum Efficiency
  3. The structure of emotions in learning situations
  4. A Framework for Applying Natural Language Processing in Digital Health Interventions
  5. An Adaptive and Optimized Switching Observer for Sensorless Control of an Electromagnetic Valve Actuator in Camless Internal Combustion Engines
  6. Project and Design of a Catamaran Prototype with Aerial Propulsion System
  7. Understanding storytelling in the context of information systems
  8. On the distinctiveness of tags in collaborative tagging systems
  9. Machine vision system errors for unmanned aerial vehicle navigation
  10. A Comparative Study for Fisheye Image Classification
  11. Influence of Long-Lasting Static Stretching Intervention on Functional and Morphological Parameters in the Plantar Flexors
  12. An observer for sensorless variable valve control in camless internal combustion engines
  13. The Network Dynamics of Movements
  14. Portuguese part-of-speech tagging with large margin structure learning
  15. Stimulating Computing
  16. An integrative research framework for enabling transformative adaptation
  17. Energy model, boundary object and societal lens
  18. Optimising business performance with standard software systems
  19. What´s in a net? or: The end of the average
  20. Image, Process, Performance, Machine
  21. Mechanical characterization of as-cast AA7075/6060 and CuSn6/Cu99.5 compounds using an experimental and numerical push-out test
  22. Repeat Receipts: A device for generating visible data in market research focus groups
  23. Rating Player Actions in Soccer
  24. Privatizing the commons
  25. Influence of data clouds fusion from 3D real-time vision system on robotic group dead reckoning in unknown terrain
  26. Making transparency transparent
  27. Teaching Sustainable Development in a Sensory and Artful Way — Concepts, Methods, and Examples
  28. Using the Domestication Approach for the Analysis of Diffusion and Participation Processes of New Media
  29. Tree and mycorrhizal fungal diversity drive intraspecific and intraindividual trait variation in temperate forests

Presse / Medien

  1. Rio+20