Symbolic analysis techniques

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  • The invariable motif for analog design is to explore the new circuit topologies, architectures and CAD technologies to overcome the design challenges coming from the new applications and new fabrication technologies. In this book, a new architecture for a SAR ADC is proposed to eliminate the process mismatches and minimize the errors.

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  • In this chapter you will: Understand how automated program analysis complements testing and manual inspection; understand fundamental approaches of a few representative techniques (Lockset analysis, pointer analysis, symbolic testing, dynamic model extraction; recognize the same basic approaches and design trade-offs in other program analysis techniques).

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  • After studying this chapter you will be able to: Understand how automated program analysis complements testing and manual inspection; understand fundamental approaches of a few representative techniques (Lockset analysis, pointer analysis, symbolic testing, dynamic model extraction; recognize the same basic approaches and design trade-offs in other program analysis techniques).

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  • In this chapter, the characteristics of diodes are presented. Diode circuit analysis techniques will be discussed. Problems involving diode circuits are solved using MATLAB. 9.1 DIODE CHARACTERISTICS Diode is a two-terminal device. The electronic symbol of a diode is shown in Figure 9.1(a). Ideally, the diode conducts current in one direction. The current versus voltage characteristics of an ideal diode are shown in Figure 9.1(b). anode i cathode (a) i v (b) Figure 9.

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  • CHAPTER NINE DIODES In this chapter, the characteristics of diodes are presented. Diode circuit analysis techniques will be discussed. Problems involving diode circuits are solved using MATLAB. 9.1 DIODE CHARACTERISTICS Diode is a two-terminal device. The electronic symbol of a diode is shown in Figure 9.1(a). Ideally, the diode conducts current in one direction. The current versus voltage characteristics of an ideal diode are shown in Figure 9.1(b). anode i cathode (a) i v (b) Figure 9.

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  • As digital libraries and the World Wide Web (WWW) continue to grow exponentially, the ability to find useful information will greatly depend on the associated underlying framework of the indexing infrastructure or search engine. The push to get information on-line must be mediated by the design of automated techniques for extracting that information for a variety of users and needs. What algorithms and software environments are plausible for achieving both accuracy and speed in text searching today?...

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  • LESSON 1 program development styles and basics of c Program Development Methodologies - Programming Style - Stepwise Refinement and Modularity - Problem Solving Techniques - Algorithm – Flowcharts – Pseudocode – Sequence and Selection - Recursion vs. Iteration - Overview of Compilers and Interpreters - Structure of a C Program - Programming Rules - Executing the Program. 1 LESSON 2 CONSTANTS & VARIABLES Introduction - Character set - C Tokens - Keywords and Identifiers – Constants – Variables.

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  • Carrier Recovery for ‘Sub-Coherent’ CDMA Overview In this chapter we examine possible methods of carrier recovery for the SECDMA presented in Chapter 6. In particular, we propose, evaluate and compare two techniques; namely Symbol-Aided Demodulation (SAD) and the Pilot-Aided Demodulation (PAD). The performance analysis of each scheme (SAD and PAD) includes both Rician and Rayleigh multipath fading channels, and thus are also useful (in addition to the satellite) in terrestrial mobile applications....

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  • ANALYSIS AND VERIFICATION OF NON-REAL-TIME SYSTEMS A great collection of techniques and tools are available for the reasoning, analysis, and verification of non-real-time systems. This chapter explores the basic foundations of these techniques that include symbolic logic, automata, formal languages, and state transition systems. Many analysis and verification techniques for real-time systems are based on these untimed approaches, as we will see in later chapters.

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  • SHAPE ANALYSIS Several qualitative and quantitative techniques have been developed for characterizing the shape of objects within an image. These techniques are useful for classifying objects in a pattern recognition system and for symbolically describing objects in an image understanding system. Some of the techniques apply only to binary-valued images; others can be extended to gray level images.

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