An Integrated Agent Architecture for Software Defined Radio. Rapid-prototype cognitive radio, CR1, was developed to apply these.The modern software defined radio has been called the heart of a cognitive radio. Cognitive radio: an integrated agent architecture for software defined radio. Http:bwrc.eecs.berkeley.eduResearchMCMACR White paper final1.pdf. The cognitive radio, built on a software-defined radio, assumes. Radio: An Integrated Agent Architecture for Software Defined Radio, Ph.D. The need for software-defined radios is underlined and the most important notions used for such. Mitola III, Cognitive radio: an integrated agent architecture for software defined radio, Ph.D. This results in the set-theoretic ontology of radio knowledge defined in the. Cognitive Radio An Integrated Agent Architecture for Software.This article first briefly reviews the basic concepts about cognitive radio CR. Cognitive Radio-An Integrated Agent Architecture for Software Defined Radio. Cognitive Radio RHMZ 2007. Software-defined radio SDR idea 1. Cognitive radio: An integrated agent architecture for software.Cognitive Radio SOFTWARE DEFINED RADIO, AND ADAPTIVE WIRELESS SYSTEMS2 Cognitive Networks. 3 Joseph Mitola III, Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio Stockholm.

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Cognitive Radio An Integrated Agent Architecture for Software Defined Radio

A type system is a syntactic method for automatically checking the absence of certain erroneous behaviors by classifying program phrases according to the kinds of values they compute. The study of type systems -- and of programming languages from a type-theoretic perspective -- has important applications in software engineering, language design, high-performance compilers, and security.This text provides a comprehensive introduction both to type systems in computer science and to the basic theory of programming languages. The approach is pragmatic and operational; each new concept is motivated by programming examples and the more theoretical sections are driven by the needs of implementations. Each chapter is accompanied by numerous exercises and solutions, as well as a running implementation, available via the Web. Dependencies between chapters are explicitly identified, allowing readers to choose a variety of paths through the material.The core topics include the untyped lambda-calculus, simple type systems, type reconstruction, universal and existential polymorphism, subtyping, bounded quantification, recursive types, kinds, and type operators. Extended case studies develop a variety of approaches to modeling the features of object-oriented languages.

https://www.seas.upenn.edu/~bcpierce/tapl/contents.pdf

Types and Programming Languages

From the Publisher:
Standard ML is general-purpose programming language designed for large projects. This book provides a formal definition of Standard ML for the benefit of all concerned with the language, including users and implementers. Because computer programs are increasingly required to withstand rigorous analysis, it is all the more important that the language in which they are written be defined with full rigor. The authors have defined their semantic objects in mathematical notation that is completely independent of Standard ML.

The Definition of Standard ML

In joint work with Peter O'Hearn and others, based on early ideas of Burstall, we have developed an extension of Hoare logic that permits reasoning about low-level imperative programs that use shared mutable data structure. The simple imperative programming language is extended with commands (not expressions) for accessing and modifying shared structures, and for explicit allocation and deallocation of storage. Assertions are extended by introducing a "separating conjunction" that asserts that its subformulas hold for disjoint parts of the heap, and a closely related "separating implication". Coupled with the inductive definition of predicates on abstract data structures, this extension permits the concise and flexible description of structures with controlled sharing. In this paper, we survey the current development of this program logic, including extensions that permit unrestricted address arithmetic, dynamically allocated arrays, and recursive procedures. We also discuss promising future directions.

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Separation logic: a logic for shared mutable data structures

Program analysis utilizes static techniques for computing reliable information about the dynamic behavior of programs. Applications include compilers (for code improvement), software validation (for detecting errors) and transformations between data representation (for solving problems such as Y2K). This book is unique in providing an overview of the four major approaches to program analysis: data flow analysis, constraint-based analysis, abstract interpretation, and type and effect systems. The presentation illustrates the extensive similarities between the approaches, helping readers to choose the best one to utilize.

Principles of program analysis

Part 1 Syntax of the core: reserved words special constants comments identifiers lexical analysis infixed operators derived forms grammar syntactic restrictions. Part 2 Syntax of modules: reserved words identifiers infixed operators grammar for modules syntactic restrictions. Part 3 Static semantics for the core: simple objects compound objects projection, injection and modification types and type functions type schemes scope of explicit type variables non-expansive expressions closure type structures and type environments inference rules further restrictions. Part 4 Static semantics for modules: semantic objects type realization signature instantiation functor signature instantiation enrichment signature matching inference rules. Part 5 Dynamic semantics for the core: reduced syntax simple objects compound objects basic values basic exceptions function closures inference rules. Part 6 Dynamic semantics for modules: reduced syntax compound objects inference rules. Part 7 Programmes. Part 8 Appendices.

The Definition of Standard ML (Revised)

This paper describes a memory management discipline for programs that perform dynamic memory allocation and de-allocation. At runtime, all values are put intoregions. The store consists of a stack of regions. All points of region allocation and de-allocation are inferred automatically, using a type and effect based program analysis. The scheme does not assume the presence of a garbage collector. The scheme was first presented in 1994 (M. Tofte and J.-P. Talpin,in“Proceedings of the 21st ACM SIGPLAN?SIGACT Symposium on Principles of Programming Languages,” pp. 188?201); subsequently, it has been tested in The ML Kit with Regions, a region-based, garbage-collection free implementation of the Standard ML Core language, which includes recursive datatypes, higher-order functions and updatable references L. Birkedal, M. Tofte, and M. Vejlstrup, (1996),in“Proceedings of the 23 rd ACM SIGPLAN?SIGACT Symposium on Principles of Programming Languages,” pp. 171?183. This paper defines a region-based dynamic semantics for a skeletal programming language extracted from Standard ML. We present the inference system which specifies where regions can be allocated and de-allocated and a detailed proof that the system is sound with respect to a standard semantics. We conclude by giving some advice on how to write programs that run well on a stack of regions, based on practical experience with the ML Kit.

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Region-based memory management

We present a translation scheme for the polymorphically typed call-by-value l-calculus. All runtime values, including function closures, are put into regions. The store consists of a stack of regions. Region inference and effect inference are used to infer where regions can be allocated and de-allocated. Recursive functions are handled using a limited form of polymorphic recursion. The translation is proved correct with respect to a store semantics, which models as a region-based run-time system. Experimental results suggest that regions tend to be small, that region allocation is frequent and that overall memory demands are usually modest, even without garbage collection.

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Implementation of the typed call-by-value λ-calculus using a stack of regions

This collection of original essays reflects the breadth of current research in computer science. Robin Milner, a major figure in the field, has made many fundamental contributions, particularly in theoretical computer science, the theory of programming languages, and functional programming languages.Following a brief biography of Milner, the book contains five sections: Semantic Foundations, Programming Logic, Programming Languages, Concurrency, and Mobility. Together the pieces convey a seamless whole, ranging from highly abstract concepts to systems of great utility.Contributors : Samson Abramsky, J. C. M. Baeten, Sergey Berezin, J. A. Bergstra, Gerard Berry, Lars Birkedal, Gerard Boudol, Edmund Clarke, Pierre Collette, Robert L. Constable, Pierre-Louis Curien, Jaco de Bakker, Uffe H. Engberg, William Ferreira, Fabio Gadducci, Mike Gordon, Robert Harper, Matthew Hennessy, Yoram Hirshfeld, C. A. R. Hoare, Gerard Huet, Paul B. Jackson, Alan S. A. Jeffrey, Somesh Jha, He Jifeng, Cliff B. Jones, Cosimo Laneve, Xinxin Liu, Will Marrero, Faron Moller, Ugo Montanari, Pavel Naumov, Mogens Nielsen, Joachim Parrow, Lawrence C. Paulson, Benjamin C. Pierce, Gordon Plotkin, M. A. Reniers, Amokrane Saibi, Augusto Sampaio, Davide Sangiorgi, Scott A. Smolka, Eugene W. Stark, Christopher Stone, Mads Tofte, David N. Turner, Juan Uribe, Franck van Breugel, David Walker, Glynn Winskel.

Mads Tofte

Papers

The Definition of Standard ML

The Definition of Standard ML (Revised)

Region-based memory management

Implementation of the typed call-by-value λ-calculus using a stack of regions

Proof, language, and interaction: essays in honour of Robin Milner