New Extractors for Interleaved Sources

نویسندگان

  • Eshan Chattopadhyay
  • David Zuckerman
چکیده

We study how to extract randomness from a C-interleaved source, that is, a source comprised of C independent sources whose bits or symbols are interleaved. We describe a simple approach for constructing such extractors that yields: • For some δ > 0, c > 0, explicit extractors for 2-interleaved sources on {0, 1} when one source has min-entropy at least (1 − δ)n and the other has min-entropy at least c log n. The best previous construction, by Raz and Yehudayoff [RY11], worked only when both sources had entropy rate 1− δ. • For some c > 0 and any large enough prime p, explicit extractors for 2-interleaved sources on [p] when one source has min-entropy rate at least .51 and the other source has minentropy rate at least (c log n)/n. We use these to obtain the following applications: • We introduce the class of any-order-small-space sources, generalizing the class of smallspace sources studied by Kamp et al. [KRVZ11]. We construct extractors for such sources with min-entropy rate close to 1/2. Using the Raz-Yehudayoff construction would require entropy rate close to 1. • For any large enough prime p, we exhibit an explicit function f : [p] → {0, 1} such that the randomized best-partition communication complexity of f with error 1/2 − 2−Ω(n) is at least .24n log p. Previously this was known only for a tiny constant instead of .24, for p = 2 [RY11]. • We introduce non-malleable extractors in the interleaved model. For any large enough prime p, we give an explicit construction of a weak-seeded non-malleable extractor for sources over [p] with min-entropy rate .51. Nothing was known previously, even for almost full min-entropy. ∗Research supported in part by NSF Grant CCF-1218723. †Research supported in part by NSF Grant CCF-1218723. ISSN 1433-8092 Electronic Colloquium on Computational Complexity, Report No. 151 (2015)

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Analysis and Experimentation of Soft Switched Interleaved Boost Converter for Photovoltaic Applications

Conventional energy sources are fast depleting due to poor conservation practises and excessive usage while the world’s energy demands are growing by minute. Additionally, the cost of producing conventional energy is rising also leading to an increase in harmful environmental pollution. Hence, there is a need to look at alternative energy sources such as sun, water and wind. Photovoltaic (PV) i...

متن کامل

An Interleaved Configuration of Modified KY Converter with High Conversion Ratio for Renewable Energy Applications; Design, Analysis and Implementation

In this paper, a new high efficiency, high step-up, non-isolated, interleaved DC-DC converter for renewable energy applications is presented. In the suggested topology, two modified step-up KY converters are interleaved to obtain a high conversion ratio without the use of coupled inductors. In comparison with the conventional interleaved DC-DC converters such as boost, buck-boost, SEPIC, ZETA a...

متن کامل

Towards Optimal Randomness Extractors and Ramsey Graphs

I will survey some of the recent exciting progress on explicit constructions of randomness extractors for independent sources. Many of the new constructions rely on explicit constructions of newly introduced pseudorandom primitives, and there remains scope of finding better explicit constructions of these primitives. I will also discuss some possible approaches for constructing optimal Ramsey g...

متن کامل

On Extracting Private Randomness over a Public Channel

We introduce the notion of a super-strong extractor. Given two independent weak random sources X,Y , such extractor EXT(·, ·) has the property that EXT(X,Y ) is statistically random even if one is given Y . Namely, 〈Y, EXT(X,Y )〉 ≈ 〈Y,R〉. Super-strong extractors generalize the notion of strong extractors [16], which assume that Y is truly random, and extractors from two weak random sources [26,...

متن کامل

Deterministic Extraction from Weak Random Sources - Preamble

Preface Roughly speaking, a deterministic extractor is a function that 'extracts' almost perfect random bits from a 'weak random source'-a distribution that contains some entropy but is far from being truly random. In this book we explicitly construct deterministic extractors and related objects for various types of sources. A basic theme in this book is a methodology of recycling randomness th...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015