By Thomas F. Quatieri
The ebook took really nice and wide scope of sign Processing.
Unfortunately now not all topics are disclosed self-consistent.
The most sensible gain i am getting from chapters the place the topic used to be already typical from different sources.
I couldn't recomend this ebook for preliminary aquintment with sign Processing, even though with a few earlier wisdom the ebook can be attention-grabbing.
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Additional info for Discrete Time Speech Signal Processing
In a narrow-base diode, it takes a time equal to the base-transit time to fill the base with minority carriers. It should be noted that the charging current, In(x''' 0), is different for wide-base and narrow-base diodes. The dependence ofIn(x '" 0) on base width is shown in Fig. 22. 2 Average Time for Traversing a Narrow Base From Eq. tration at any base region is (I - np - npo = (np x in the narrow p-type ~). 148) Let vex) be the apparent velocity of these excess carriers at point x.
QDnn; ppOLn 123) (reverse, wide base). carrier concentration and the minority-carrier cur depletion-region boundary diffuse towards the depletion region, with a saturation current rent increase exponentially with the applied voltage (see Fig. 20). 129) which is independent of the base width. , » kT. In this case, Eqs. 6 Narrow-Base n+-p Diodes A diode is called narrow-base if its base width is small compared to the minority-carrier diffusion length in the base. In this case, this means Wp / Ln « L For a forward-biased narrow-base diode, Eqs.
The width of the emitter region of a p-n diode is also referred to as the junction depth. Therefore, a shallow-emitter diode is also a p-n junction having an electrically shallow junction. 22 applies to the emitter region as well. Thus, we see from Fig. 22 that when WIL < I in the emitter, the minority-carrier current in the emitter increases very rapidly as the emitter depth decreases. As can be inferred from Fig. 3 11m for a doping concentration of I x IOZo em- 3 , and much larger for lower doping concentrations.
Discrete Time Speech Signal Processing by Thomas F. Quatieri