In this chapter an abstract model of a noise-shaping quantizer is derived. A noise-shaping quantizer is a more general description of a sigma-delta modulator, consisting of one or more cost functions and a selection function. The cost function is an indication of the quality of a signal or an encoding solution, and the selection function determines the output symbol. In the case of a normal sigma-delta modulator the cost function is implemented by the loop-filter and the selection function by the quantizer. This generalization of the sigma-delta modulator structure will enable to addition of look-ahead functionality in the next chapter.
CITATION STYLE
Janssen, E., & van Roermund, A. (2011). Noise-Shaping Quantizer Model. In Analog Circuits and Signal Processing (pp. 43–48). Springer. https://doi.org/10.1007/978-94-007-1387-1_4
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