History of Java Tools You Will Need INTERFACES Declaring Interfaces Implementing Interfaces Extending Interfaces Extending Multiple Interfaces Tagging Interfaces CREATING AN OBJECT OBJECT CONSTRUCTION AND DESTRUCTION Method Overloading OVERRIDING Rules for Method Overriding Using the super Keyword EXCEPTIONS Exception Hierarchy Exceptions Methods Catching Exceptions Multiple Catch Blocks Catching Multiple Type of Exceptions The Throws/Throw Keywords The Finally Block The try-with-resources Us...
Objects in Java Classes in Java Constructors Creating an Object Class/Static Variables BASIC OPERATORS The Arithmetic Operators The Relational Operators The Bitwise Operators The Logical Operators The Assignment Operators Miscellaneous Operators Conditional Operator ( ? : ) Instance of Operator Precedence of Java Operators
Grounding Grounding in Electronics Practical Grounding Noise in Circuits Types and Sources of Electrical Noise
Definition of the Fourier Transform Example of a Fourier Transform Fourier Transform Properties Convolution Theorem Discrete Fourier Transform (DFT) The Fast Fourier Transform (FFT) Algorithm FFT Explained Using Matrix Factorization Fourier Transforms and Arithmetic
Overview Definition(s) Frequency domain sampling: Properties and applications Time-limited signals The discrete Fourier transform (DFT) The DFT, IDFT - computational perspective Properties of the DFT, IDFT Multiplication of two DFTs and circular convolution Related DFT properties Linear filtering methods based on the DFT Filtering of long data sequences Frequency analysis of signals using the DFT Interpolation / upsampling revisited Summary DFT-based “real-time” filtering
The DFT The Discrete Fourier Transform (DFT) is the equivalent of the continuous Fourier Transform for signals known only at instants separated by sample times (i.e. a finite sequence of data). Let be the continuous signal which is the source of the data. Let samples be denoted . The Fourier Transform of the original signal, , would
Microcontrollers versus Microprocessors Memory unit Central Processing Unit Input-output unit Analog to Digital Converter Microcontroller PIC16F84 PIC16F84 Microcontroller Outline Clock / instruction cycle
Introduction to Assembly Language Programming Intel 8086 Microprocessor Assembly Language Programming Modular Programming and Applications to Engineering Problems.
Introduction to Assembly Language Programming Intel 8086 Microprocessor Assembly Language Programming Modular Programming and Applications to Engineering Problems. Instruction format Assembler directives, Instruction set- arithmetic, logical, string, branching, program control, machine control, input/output Introduction to 8086 Microprocessor programming
Introduction to Assembly Language Programming Intel 8086 Microprocessor Assembly Language Programming Modular Programming and Applications to Engineering Problems. MODULE ONE Programming Languages Language level of abstraction and effect on machine Characteristics of machine code Advantages and Justifications of machine code programming Microprocessor Fundamentals Programming in Assembly Language
Federal University of Technology Minna FUTA Computer Engineering 400L Past Questions. This covers CPE 439 Assemby Language Programming CME 412 Digital Signal Processing CPE 415 Computer Hardware System Design I CPE 417 Data Structures and Algorithms CPE 439 Study of Programming Language CME 413 Communication Engineering Principle CPE 411 Computer Networks I CPE 416 Microcomputer and Microcontroller Systems II CPE 413 Software Engineering II
400 level past question papers
Categories of Internetworks LAN ( Local Area Network) - Ethernet - Token ring - Token bus - FDDI • MAN ( Metropolitan Area Network) • WAN (Wide Area Network)
Programming of the 8051 Microcontroller-based C Program Pseudocoding with Program Design Language (PDL) PDL structures AT89C2051 Microcontroller based Systems LED BINARY COUNTING SYSTEM LED CHASING SYSTEM
Architecture of the 8051 Members of the MCS-51 and their features Basic Features of the 8051