What are the hdb3 encoding rules?
The encoding rules are: 1. If the previous encoding is 0 and the current data bit is 0, the encoding is 0; 2. If the previous encoding is 0 and the current data bit is 1, the encoding is bipolar. Pulse (A or -A), and add 1 to the counter; 3. If the previous code is 1, and the current data bit is 1, then the code is 0, and the counter will be incremented by 1; 4. If the previous code is 1, the current data bit If the data bit is 0, the encoding method is determined according to the parity of the counter. If it is an even number, the encoding is (B or -B). If it is an odd number, the encoding is zero level and the counter is cleared and so on.
# Operating system for this tutorial: Windows 10 system, Dell G3 computer.
HDB3 (High Density Bipolar 3-zero) is a high-density bipolar 3-zero encoding rule that is widely used in digital communication systems. It is a line encoding technology based on bipolar signals that is used to convert digital signals into voltage signals for transmission. HDB3 encoding rules achieve data transmission and synchronization by inserting special encoding sequences into signals.
The main purpose of HDB3 encoding rules is to solve the DC offset problem in transmission lines. During transmission, signals may be subject to various interferences and distortions, one of which is DC offset. DC offset means that the DC component in the signal exceeds the normal range, causing the receiving end to be unable to decode it correctly. In order to solve this problem, the HDB3 encoding rules use a special encoding method, which inserts zero levels into the signal.
The basic principle of HDB3 encoding rules is to encode each 1-bit data as a bipolar pulse, and insert zero levels as needed to maintain DC balance. The specific encoding rules are as follows:
1. If the previous encoding is 0 and the current data bit is 0, the encoding is 0;
2. If the previous encoding is 0, the current data bit is 1, the encoding is bipolar pulse (A or -A), and the counter is increased by 1;
3. If the previous encoding is 1 and the current data bit is 1, the encoding is 0, and the The counter increases by 1;
4. If the previous encoding is 1 and the current data bit is 0, the encoding method is determined based on the parity of the counter:
a. If the counter is an even number, then Encoded as bipolar pulse (B or -B);
b. If the counter is an odd number, the encoding is zero level and the counter is cleared.
Through this encoding rule, HDB3 can effectively solve the DC offset problem and maintain the DC balance of the transmission line. At the same time, due to the insertion of zero levels, HDB3 encoding rules can also provide clock synchronization functions so that the receiving end can correctly decode data.
HDB3 encoding rules are widely used in digital communication systems. It is used in a variety of transmission media, including fiber optics, coaxial cables, and copper wires. In systems with higher transmission rates, HDB3 coding rules can provide better transmission performance and anti-interference capabilities.
Summary
HDB3 coding rule is a high-density bipolar 3-zero coding rule used to solve the DC offset problem in transmission lines. It achieves data transmission and synchronization by inserting special coding sequences. HDB3 coding rules are widely used in digital communication systems and can provide better transmission performance and anti-interference capabilities
The above is the detailed content of What are the hdb3 encoding rules?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



Machine learning algorithms only accept numerical input, so if we encounter categorical features, we will encode the categorical features. This article summarizes 11 common categorical variable encoding methods. 1. ONE HOT ENCODING The most popular and commonly used encoding method is One Hot Enoding. A single variable with n observations and d distinct values is converted into d binary variables with n observations, each binary variable is identified by a bit (0, 1). For example: the simplest implementation after coding is to use pandas' get_dummiesnew_df=pd.get_dummies(columns=[‘Sex’], data=df)2,

UTF8 encoded Chinese characters occupy 3 bytes. In UTF-8 encoding, one Chinese character is equal to three bytes, and one Chinese punctuation mark occupies three bytes; while in Unicode encoding, one Chinese character (including traditional Chinese) is equal to two bytes. UTF-8 uses 1~4 bytes to encode each character. One US-ASCIl character only needs 1 byte to encode. Latin, Greek, Cyrillic, Armenian, and Hebrew with diacritical marks. , Arabic, Syriac and other letters require 2-byte encoding.

Large language models (LLMs) have the ability to generate smooth and coherent text, bringing new prospects to areas such as artificial intelligence conversation and creative writing. However, LLM also has some key limitations. First, their knowledge is limited to patterns recognized from training data, lacking a true understanding of the world. Second, reasoning skills are limited and cannot make logical inferences or fuse facts from multiple data sources. When faced with more complex and open-ended questions, LLM's answers may become absurd or contradictory, known as "illusions." Therefore, although LLM is very useful in some aspects, it still has certain limitations when dealing with complex problems and real-world situations. In order to bridge these gaps, retrieval-augmented generation (RAG) systems have emerged in recent years. The core idea is

Common encoding methods include ASCII encoding, Unicode encoding, UTF-8 encoding, UTF-16 encoding, GBK encoding, etc. Detailed introduction: 1. ASCII encoding is the earliest character encoding standard, using 7-bit binary numbers to represent 128 characters, including English letters, numbers, punctuation marks, control characters, etc.; 2. Unicode encoding is a method used to represent all characters in the world The standard encoding method of characters, which assigns a unique digital code point to each character; 3. UTF-8 encoding, etc.

PHP coding tips: How to generate a QR code with anti-counterfeiting verification function? With the development of e-commerce and the Internet, QR codes are increasingly used in various industries. In the process of using QR codes, in order to ensure product safety and prevent counterfeiting, it is very important to add anti-counterfeiting verification functions to the QR codes. This article will introduce how to use PHP to generate a QR code with anti-counterfeiting verification function, and attach corresponding code examples. Before starting, we need to prepare the following necessary tools and libraries: PHPQRCode: PHP

PHP is a popular web programming language that can be used to write dynamic web pages and applications. In practical applications, PHP often needs to interact with the database to query and process data. However, when using PHP to get results from a database, you may encounter encoding problems, which often result in garbled characters. So, how to solve the problem of encoding of PHP database query results?

The coding rules are: 1. If the previous code is 0 and the current data bit is 0, the code is 0; 2. If the previous code is 0 and the current data bit is 1, the code is bipolar pulse (+A or - A), and the counter is increased by 1; 3. If the previous code is 1 and the current data bit is 1, the code is 0, and the counter is increased by 1; 4. If the previous code is 1, the current data bit is 0, The encoding method is determined based on the parity of the counter. If it is an even number, the encoding is (+B or -B). If it is an odd number, the encoding is zero level and the counter is cleared and so on.

Hellofolks, my name is Luga, and today we will talk about technologies related to the artificial intelligence (AI) ecological field - GenAI. Facing the challenges of rapid technological innovation and differentiated business scenarios, traditional coding methods have begun to become acclimated and cannot fully cope with the growing demands. At the same time, emerging general-purpose GenAI (artificial intelligence technology) has great potential to meet this demand. As a representative of artificial intelligence technology, GenAI has begun to be widely used in all walks of life with its strong potential and capabilities. It can automatically learn and adapt to coding needs in different scenarios, greatly improving coding efficiency and quality. Through deep learning and model optimization, GenAI is able to accurately understand different