This paper introduces a computationally efficient, highly linear, natural sampling algorithm. The natural sampler is an essential block in a power efficient PWM digital audio amplifier. The algorithm is implemented on a DSP and comprises a prediction filter and an interpolator. The prediction filter uses feedback to get a very accurate estimate of the required sampling time for audio frequency signals. The interpolator extracts the PWM duty ratio from the input signal based upon the prediction filter's sampling estimate. The algorithm is scalable with performance requirements in terms of computation required as well as data and program memory.:
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 and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.