Understanding Encoder

Duration: 3 min

This video lesson is available to enrolled students.

Return to /learn/MPPSC-ASSISTANT-PROFESSOR-COMPUTER-SCIENCE-PAPER-2/digital-computer-organization-and-architecture/combinational-circuit/demux-decoder-encoder/asset-understanding-encoder after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. About Course: About the Course
  2. Paper 1 | General Studies: State Wise GK
  3. Paper 1 | Information and Communication Technology: Role of Internet and Web Services, Security in Mobile and Wireless Computing
  4. Paper 1 | Current Affairs: GK- Current Affairs
  5. Paper 2 | Discrete Mathematical Structure: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic, Probability
  6. Paper 2 | Digital Computer Organization And Architecture: Number System, Number Representation, Sequential Circuits, Combinational Circuit, Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Register Transfer and Microoperations, Control Unit Design, Programming the Basic Computer
  7. Paper 2 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  8. Paper 2 | Programming Languages & Object-Oriented Programming Concepts: Java, OOPS with C++, Java Fundamentals, Array, String, IO & References
  9. Paper 2 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis
  10. Paper 2 | Data Structure And Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Minimum Spanning Trees, Advanced Algorithms
  11. Paper 2 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS
  12. Paper 2 | Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Complexity Theory
  13. Paper 2 | Compiler Design: Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
  14. Paper 2 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Algebra, SQL, Transaction Management, Concurrency Control, Database Recovery, Database Security & Authorization, Enhanced Data Models
  15. Paper 2 | Computer Network And Information Security: Introduction to CN, Data Communication, Application Layer, Hardware basics, Cyber Threats and Malware Attacks, Network Security, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP
  16. Paper 2 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  17. Paper 2 | Current Trends & Technologies: Emerging Tech Trends, Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Planning, Multi Agent Systems, Fuzzy Sets, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms, Artificial Intelligence, Data Warehousing & Mining, Electronic Data Interchange and E-Commerce, Terms & Abbreviations
  18. Paper 2 | Full Length Mock Tests:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The lecture introduces the digital logic concept of an Encoder. It defines an encoder as a combinational circuit that converts binary information from $2^N$ input lines into $N$ output lines, effectively representing an $N$-bit code. The instructor emphasizes that for simple encoders, only one input line is active at a time. He notes that an encoder performs the inverse operation of a decoder. He illustrates this with a block diagram showing $2^n$ inputs and $n$ outputs, noting the relationship $2^n imes n$. He then demonstrates a specific 4-to-2 encoder example, drawing a truth table where a single active high input corresponds to its binary equivalent on the outputs. The lecture concludes by transitioning to the specific case of a 2-to-1 encoder, which is a simpler variant.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor defines an encoder using on-screen text: "An encoder is a combinational circuit that encode binary information form one of a 2^N input lines and encode it into N output lines". He draws a block diagram labeled "Encoder" with inputs $I_0$ through $I_{2^n-1}$ and outputs $O_0$ through $O_{n-1}$. He explains the $2^n imes n$ notation. He then sketches a 4-to-2 encoder block with inputs $I_3, I_2, I_1, I_0$ and outputs $O_1, O_0$. He constructs a truth table, filling rows to show that when $I_0$ is active, outputs are 00; when $I_1$ is active, outputs are 01; when $I_2$ is active, outputs are 10; and when $I_3$ is active, outputs are 11. He explicitly writes the headers $I_3, I_2, I_1, I_0$ and $O_1, O_0$ and fills the table with binary values corresponding to the active input index. The instructor points to the inputs and outputs on the diagram to clarify the flow of information.

  2. 2:00 – 2:59 02:00-02:59

    The slide title changes to "2-to-1 Encoder". The instructor gestures with his hands while explaining the new topic. The previous truth table remains visible on the board. He is likely introducing the logic for a simpler 2-input encoder, building upon the general principles established in the previous section. The focus shifts from the general $2^n imes n$ definition to a specific 2-to-1 implementation. The visual context remains the whiteboard with the previously drawn truth table.

The video provides a foundational overview of encoders in digital logic design. It starts with a general definition and block diagram, establishing the relationship between input lines ($2^n$) and output lines ($n$). The instructor uses a 4-to-2 encoder example to concretize the concept by mapping active inputs to binary outputs via a truth table. This progression from abstract definition to concrete example prepares the viewer for specific implementations like the 2-to-1 encoder introduced at the end. The key takeaway is the inverse relationship to decoders and the binary encoding of active input lines, which is fundamental.

Loading lesson…