Improved data weighed averaging algorithm and device

Abstract

The invention discloses improved data weighed averaging algorithm, which can restrain a tone effect well. In the algorithm, two counters control a second barrel type shift register to correct the result of the traditional data weighed averaging algorithm. The invention also provides a device for realizing the algorithm, which comprises a delay unit, a summing device, a thermometer code generator,a first barrel type shift register, a first comparator, a first counter, a second comparator, a second counter and the second barrel type shift register. The improved data weighed averaging algorithmcan well resolve the contradiction between a signal-to-noise distortion ratio and the tone effect; on the whole, the algorithm ensures that unit elements are used averagely, so that the great attenuation of the signal-to-noise distortion ratio is avoided; and locally, the algorithm can break the regularity of the unit element selection, restrain the tone effect to the largest extent and greatly reduce the in-band tones.

Description

technical field [0001] The present invention relates to the technical field of audio sampling data processing, in particular to an improved data weighted average (DWA) algorithm that can better suppress the tone effect and does not cause a large attenuation of the signal-to-noise-distortion ratio (SNDR) and implements the algorithm device. Background technique [0002] In the audio sampling sigma-delta DAC digital-to-analog converter, due to the function of the sigma-delta modulator, the number of bits of the signal is often truncated from more than 20 bits to 3-6 bits, and the truncation noise generated in this process is also truncated The modulator is shaped so that the output low-bit signal can also retain high precision in the low frequency band. However, under the mainstream CMOS process conditions, due to process fluctuations, the internal independent switching capacitors or current sources have about 0.5% mismatch, which leads to errors in the process of reconstruct...

AI Technical Summary

Problems solved by technology

Pseudo DWA (pseudo DWA) is the simplest algorithm, but under some specific input amplitudes, the amplitude of in-band clutter will become larger

Although the diversity DWA (split-set DWA) can achieve a higher signal-to-noise-distortion ratio (SNDR), when the modulator quantization level exceeds 9, the area occupied by the circuit implementation of this algorithm is greatly increased

Bi-Direction DWA (Bi-Direction DWA) and Partial DWA (Partial DWA) can suppress the tone sound effect very well, but it will bring a large signal-to-noise-distortion ratio (SNDR) attenuation, so these two methods are rarely used

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