You are currently logged in as an
Institutional Subscriber.
If you would like to logout,
please click on the button below.
Home / Publications / E-library page
Only AES members and Institutional Journal Subscribers can download
In this paper, an improved algorithm for natural sampling is presented that is suitable for digitally controlled fixed frequency PWM modulators. With only 5 MAC operations, 4 multiplications, and 2 additions, the algorithm calculates both switching times for double-sided 3-level PWM, and offers more than 100 dB between signal and PWM related distortion products for high fidelity audio applications. These features compare well with results published [2-6]. The algorithm can be combined with a noise shaped local feedback for quantized pulse lengths and the digital modulator can be integrated into a global feedback loop.
Author (s): Wegner, Carsten; Schwann, Robert; Ehrhardt, Dietmar
Affiliation:
CAMCO Produktions- und Vertrieb-GmbH, Wenden, Germany; Universität Siegen, Siegen, Germany
(See document for exact affiliation information.)
AES Convention: 142
Paper Number:9783
Publication Date:
2017-05-06
Import into BibTeX
Session subject:
Posters: Transducers, Systems, and Effects
Permalink: https://aes2.org/publications/elibrary-page/?id=18659
(424KB)
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.
Wegner, Carsten; Schwann, Robert; Ehrhardt, Dietmar; 2017; Efficient Natural Sample Calculation for Digital Pulse Width Modulation [PDF]; CAMCO Produktions- und Vertrieb-GmbH, Wenden, Germany; Universität Siegen, Siegen, Germany; Paper 9783; Available from: https://aes2.org/publications/elibrary-page/?id=18659
Wegner, Carsten; Schwann, Robert; Ehrhardt, Dietmar; Efficient Natural Sample Calculation for Digital Pulse Width Modulation [PDF]; CAMCO Produktions- und Vertrieb-GmbH, Wenden, Germany; Universität Siegen, Siegen, Germany; Paper 9783; 2017 Available: https://aes2.org/publications/elibrary-page/?id=18659