'Radix point' diaporamas de présentation

EENG 2710 Chapter 1

EENG 2710 Chapter 1. Number Systems and Codes. Chapter 1 Homework. 1.1c, 1.2c, 1.3c, 1.4e, 1.5e, 1.6c, 1.7e, 1.8a, 1.9a, 1.10b, 1.13a. Number Systems. Binary Number System. Uses two digits, 0 and 1. Represents any number using the positional notation. Positional Notation.

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Objectives

Objectives . Learn why numbering systems are important to understand Refresh your knowledge of powers of numbers Learn how numbering systems are used to count Understand the significance of positional value in a numbering system

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Overview

Overview. Digital Systems, Computers, and Beyond Information Representation Number Systems [binary, octal and hexadecimal] Arithmetic Operations Base Conversion Decimal Codes [BCD (binary coded decimal)] Alphanumeric Codes Parity Bit Gray Codes.

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Floating Point Arithmetic

Floating Point Arithmetic. History of Floating Point Defining Floating Point Arithmetic Floating Point Representation Floating Point Format Floating Point Precisions Floating Point Operation Special values Error Analysis Exception Handling FPU Data Register Stack. Table of Contents.

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Chapter 03

Chapter 03. Data Representation. Chapter Goals. Distinguish between analog and digital information Explain data compression and calculate compression ratios Explain the binary formats for negative and floating-point values

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Excess Notation: One format that can be used to represent signed integers.

Excess Notation: One format that can be used to represent signed integers. Excess notation always uses a fixed number of bits with the leftmost bit representing the sign. The value zero is represented by a bit string with a one in the leftmost digit and zeros in all of the other digits.

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ITEC 352

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Prepared by: Hind J. Zourob 220033212 Heba M. Matter 220012336 Supervisor :

Prepared by: Hind J. Zourob 220033212 Heba M. Matter 220012336 Supervisor : Dr. Hatem El-Aydi. Faculty Of Engineering Communications & Control Engineering Department. Fixed point vs. Floating point. Digital Signal Processing. Introduction. Fixed point processors.

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HPEC 2006 Poster Session B.4 20 September 2006 Ray Andraka, P.E.

Hybrid Floating point Technique yields 1.2 Giga-sample per second 32 to 2048 point floating point FFT in a single FPGA. HPEC 2006 Poster Session B.4 20 September 2006 Ray Andraka, P.E. President, Andraka Consulting Group, Inc ray@andraka.com.

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HPEC 2006 Poster Session B.4 20 September 2006 Ray Andraka, P.E.

Hybrid Floating point Technique yields 1.2 Giga-sample per second 32 to 2048 point floating point FFT in a single FPGA. HPEC 2006 Poster Session B.4 20 September 2006 Ray Andraka, P.E. President, Andraka Consulting Group, Inc ray@andraka.com.

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A Short Introduction to DSP Microprocessor Architecture

A Short Introduction to DSP Microprocessor Architecture. R.C. Maher ECEN4002/5002 DSP Laboratory Spring 2003. Memory. Address. CPU/ALU. Data. What makes a DSP chip a DSP?.

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Chapter Contents

Chapter Contents. 2.1 Introduction 2.2 Fixed Point Numbers 2.3 Floating Point Numbers 2.5 Character Codes. 3-Bit Signed Integer Representations. Excess (Biased).

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EEL 3705 / 3705L Digital Logic Design

EEL 3705 / 3705L Digital Logic Design. Fall 2006 Instructor: Dr. Michael Frank Lecture Module #5: Radix Number Systems & Arithmetic. Binary Fractions. Fixed-Point and Floating-Point Binary Fractional Numbers. Radix Fractions.

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Random Numbers

Random Numbers. Dick Steflik. Pseudo Random Numbers. In most cases we do not want truly random numbers most applications need the idea of repeatability to be able to debug

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