An Integrated Design Method of Dynamic Quantizers with Communication Rate Constraint

Integrated Design of Filter and Interval in Dynamic Quantizer under Communication Rate Constraint

This paper proposes an design method of feedback type dynamic quantizers under communication rate constraints. It is well known that feedback type dynamic quantizers such as Delta/Sigma modulator are effective for encoding high resolution data into lower resolution data. The dynamic quantizers include a set of a filter and a static quantizer. When it is required to control under the communicati...

design of an analog fuzzy logic controller chip

fuzzy logic has been developed over the past three decades into a widely applied techinque in classification and control engineering. today fuzzy logic control is one of the most important applications of fuzzy set theory and specially fuzzy logic. there are two general approachs for using of fuzzy control, software and hardware. integrated circuits as a solution for hardware realization are us...

An Integrated Method of Parameter Design

the relationship of wtc with communication apprehension and self-perceived communication competene in english and persian context

بیشتر تحقیقات پیشین در زمینه تمایل به برقراری ارتباط به رابطه آن با عوامل فردی چون سن، جنس، نوع شخصیت و... صورت گرفته است. در صورتی که مطالعات کمتری به بررسی رابطه تمایل به برقراری ارتباط زبان آموزان فارسی زبان با ترس از برقراری ارتباط و توانش خود ادراکانه آنها در برقراری ارتباط در محیط فارسی و انگلیسی انجام شده است. بر اساس نظریه الیس (2008) تمایل به برقراری ارتباط جایگاه مهمی در زمینه آموزش م...

Design of neural network quantizers for a distributed estimation system with communication constraints

We consider the problem of quantizer design in a distributed estimation system with communication constraints at the channels in the case where the observation statistics are unknown and one must rely on a training set. The method that we propose applies a variation of the Cyclic Generalized Lloyd Algorithm (CGLA) on every point of the training set and then uses a neural network for each quanti...