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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dieter, W.R. Datta, S. Wong Key Kai |
| Copyright Year | 2005 |
| Description | Author affiliation: Electr. & Comput. Eng. Dept., Kentucky Univ., Lexington, KY, USA (Dieter, W.R.; Datta, S.; Wong Key Kai) |
| Abstract | The rate at which a digital signal processing (DSP) system operates depends on the highest frequency component in the input signal. DSP applications must sample their inputs at a frequency at least twice the highest frequency in the input signal (i.e., the Nyquist rate) to accurately reproduce the signal. Typically a fixed sampling rate, guaranteed to always be high enough, is used. However, an input signal may have periods when the signal has little high frequency content as well as periods of silence. When the input signal has no perceptible high frequency components, the system can reduce its sampling rate, thereby reducing the number of samples processed per second, allowing the CPU speed to be scaled down without reducing output quality. This paper describes how to reduce power consumption in DSP applications by varying the amount of processing based on the input signal, and reports results of experiments with a prototype implementation. Experiments with a prototype show that when the system performs little processing, the added overhead of the variable sampling rate technique increased power consumption. When the system performs more processing, 18 FIR filters per frame, the power consumption was reduced to 40 % of the power required for a static sampling rate, while not reducing sound quality. |
| Sponsorship | ACM SIGDA IEEE Circuits and Syst. Soc |
| Starting Page | 227 |
| Ending Page | 232 |
| File Size | 1256400 |
| Page Count | 6 |
| File Format | |
| ISBN | 1595931376 |
| DOI | 10.1109/LPE.2005.195519 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-08-08 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Association for Computing Machinery, Inc. (ACM) |
| Subject Keyword | Sampling methods Frequency Digital signal processing Energy consumption Signal sampling Clocks Power engineering computing Power engineering and energy Signal processing Real time systems |
| Content Type | Text |
| Resource Type | Article |
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