Dithered quantization is a technique in which a signal called a dither
is added to an input signal prior to quantization. This purposeful di
stortion of an input signal is common, because it can result in a more
subjectively pleasing reproduction and because, under certain conditi
ons, it can cause the quantization error to behave in a statistically
nice fashion. In particular, suitably chosen random dither signals can
cause the quantization error to be signal independent, uniformly dist
ributed white noise. Unfortunately, however, these properties do not i
n general imply similar properties for the overall quantization noise
in many systems, and this has caused some confusion in the understandi
ng, application, and interpretation of the basic results. A theory of
overall quantization noise for nonsubtractive dither was originally de
veloped in unpublished work by Wright and by Stockham and subsequently
expanded by Brinton, Lipshitz, Vanderkooy, and Wannamaker. These resu
lts are not as well known as the original results, however, and misund
erstanding persists in the literature. New proofs of the aforementione
d properties of quantizer dither, both subtractive and nonsubtractive
are provided. The new proofs are based on elementary Fourier series an
d Rice's characteristic function method and do not require the traditi
onal use of generalized functions (impulse trains of Dirac delta funct
ions) and sampling theorem arguments. The goal is to provide a unified
derivation and presentation of the two forms of dithered quantizer no
ise based on elementary Fourier techniques.