TAILIEUCHUNG - Ebook Digital Logic Design EEE-241 (Handouts)

In this lesson, some basic concepts regarding information processing and representation are clarified. These include: “Analog” versus “Digital” parameters and systems, digitization of “Analog” signals, digital representation of information, effect of noise on the reliability and choice of digital system representation. | COMSATS Institute of Information Technology (Virtual Campus) Block F, NISTE Building, H-­‐8/1 Islamabad Pakistan Digital Logic Design EEE-­‐241 Handouts Information Processing and Digital Systems Objectives In this lesson, some basic concepts regarding information processing and representation are clarified. These include: 1. “Analog” versus “Digital” parameters and systems. 2. Digitization of “Analog” signals. 3. Digital representation of information. 4. Effect of noise on the reliability and choice of digital system representation. Digital versus Analog • We live in an “Analog” world. • “Analog” means Continuous • We use the word “Analog” to express phenomena or parameters that have smooth gradual change or movement. • For example, earth’s movement around the sun is continuous or “Analog”. • Temperature is an “Analog” parameter. In making a cup of tea, the temperature of the tea kettle increases gradually or smoothly. • In an “Analog” system, parameters have a continuous range of values Æ just like a mathematical function which is “Continuous” ; in other words, the function has no discontinuity points • The word “Digital”, however, means just the opposite. • In Digital Systems, parameters have a limited set of “Discrete” Values that they can assume. • In Other words, digital parameters don’t have a “Continuous” range. • This means that, digital parameters change their values by “Jumping” from one allowed value to another. • As an example, the day of the month is a parameter that may only assume one value out of a set of limited discrete values {1, 2, 3, ., 31}. • Thus, the day of the month is a parameter may not assume a value of for example, but it rather jumps from a value of 2 to a value of 3 then to 4 and so on with no intermediate values!!! To Summarize: • Analog Systems deal with Continuous Range of values. • Digital Systems deal with a .

• Điện - Điện tử
• Number systems
• Digital logic design
• Lecture Digital logic design
• Digital design
• Digital logic
• Digital system
• Queueing system
• nite number
• shop assistants
• a forming of queues
• Queueing systems
• without queues
• Some general types
• stochastic processes Download free ebooks at bookboon
• com 2
• Probability Examples c 9 – Stochastic Processes 2 © 2009 Leif Mejlbro & Ventus Publishing ApS ISBN 978 87 7681 525 7 Download free ebooks at bookboon
• com 3
• Stochastic Processes 2 Contents Contents Introduction 1 1
• 1 1
• 2 1
• 3 1
• 4 1
• 5 1
• 6 1
• 7 2 3 4 5 Theoretical background The Poisson process Birth and death processes Queueing theory in general Queueing system of innitely many shop assistants Queueing system of a nite number of shop assistants
• and with forming of queues Queueing systems with a nite number of shop assistants and without queues Some general types of stochastic processes The Poisson process Birth and death processes Queueing theory Other types of stochastic processes Index 5 6 6 8 11 11 12 15 17 19 37 52 117 126 The next step for top performing gradua
• Nhập môn Tin học
• Bài giảng Nhập môn Tin học
• Hệ thống số
• Hệ thập phân
• Lesson Instructor materials
• Instructor materials
• Hexadecimal numbering system
• Classroom presentation
• Lecture EEE130 Digital electronics I
• EEE130 Digital electronics
• Operations and codes
• Binary coded numbers
• Complements of binary numbers
• Foundations of Number Theory
• Divisibility
• Division Algorithm
• Modular Arithmetics
• Numerical Systems
• Floor Function
• Complement of numbers
• Binary coded decimal
• Genome Biology
• Cancer genomics
• Computational systems biology
• Network biology
• Network inference
• Network propagation
• Gene copy number mutations
• Lecture Digital Logic & Design
• Bài giảng Thiết kế logic số
• Analogue quantities
• Continuous signal
• Binary number system
• Hexadecimal number system
• Binary Hexadecimal conversion
• Digital systems
• Introductory concepts
• Number systems and codes
• Describing logic circuits
• Digital arithmetic
• VLSI Digital signal processing systems
• Digital signal
• Digital signal processing
• DSP systems
• Redundant arithmetic
• Redundant number representations
• Binary number
• metallic elements
• considerable number
• physiological systems
• environmental influences
• enzyme systems
• trace amounts
• Parallel Processing & Distributed Systems
• Processor Organization
• Processor Organizations
• Bisection width
• Number of edges per node
• Maximum edge length
• Introduction to Computers
• Computer systems
• Computer science
• Transforming data
• Computers represent data
• Fundamentals of digital logic
• Microcomputer design
• Introduction to digital systems
• Boolean algebra and digital logic gates
• Combinational logic design