code distance

简明释义

码距

英英释义

例句

1.Higher code distance values are associated with better performance in noisy environments.

较高的码距值与嘈杂环境中的更好性能相关。

2.The algorithm calculates the code distance to determine the error-correcting capability of the data transmission.

该算法计算码距以确定数据传输的纠错能力。

3.In coding theory, a smaller code distance means fewer errors can be detected.

在编码理论中，较小的码距意味着可以检测到的错误较少。

4.To improve the reliability of the signal, we need to increase the code distance in our communication system.

为了提高信号的可靠性，我们需要在通信系统中增加码距。

5.The code distance is critical when designing error detection and correction algorithms.

在设计错误检测和纠正算法时，码距至关重要。

作文

In the realm of computer science and information theory, the concept of code distance plays a pivotal role in understanding error detection and correction mechanisms. Code distance refers to the minimum number of symbols that must be changed to transform one valid code word into another within a given coding scheme. This measure is crucial for evaluating the reliability of codes used in data transmission and storage. The larger the code distance, the more errors a code can detect or correct, making it an essential factor in designing robust communication systems.To illustrate the importance of code distance, consider a scenario where data is transmitted over a noisy channel. During transmission, signals may be distorted due to various factors such as interference or environmental conditions. If the original message is encoded using a code with a low code distance, even a single error could lead to significant misinterpretation of the data. For example, if a code word representing the number '5' is altered to represent '6' due to a transmission error, the recipient may receive incorrect information, leading to potential failures in critical applications like financial transactions or medical data sharing.On the other hand, when a code has a high code distance, it can withstand multiple errors without compromising the integrity of the transmitted message. For instance, a code with a code distance of three can detect up to two errors and correct one. This capability is particularly important in fields such as telecommunications, where maintaining data integrity is paramount. Engineers often strive to design codes with maximized code distance to enhance the performance of their systems.Moreover, the concept of code distance extends beyond just error correction; it also influences the efficiency of data encoding. Codes with larger code distance may require more bits to represent the same amount of information, which can lead to increased bandwidth usage. Therefore, engineers must strike a balance between code distance and efficiency, ensuring that the system remains effective while minimizing resource consumption.In conclusion, understanding code distance is vital for anyone involved in communication technology or computer science. It not only helps in designing better error detection and correction mechanisms but also ensures the reliability and efficiency of data transmission. As technology continues to evolve, the significance of code distance will only increase, highlighting the need for ongoing research and development in this area. By mastering the concept of code distance, professionals can contribute to creating more resilient and efficient systems that meet the demands of our increasingly digital world.

在计算机科学和信息理论的领域中，码距的概念在理解错误检测和纠正机制方面发挥着关键作用。码距是指在给定编码方案中，将一个有效代码字转换为另一个有效代码字所需更改的最小符号数量。这个度量对于评估用于数据传输和存储的代码的可靠性至关重要。码距越大，代码能够检测或纠正的错误就越多，这使其成为设计稳健通信系统的重要因素。为了说明码距的重要性，考虑一个数据通过噪声信道传输的场景。在传输过程中，由于干扰或环境条件等各种因素，信号可能会失真。如果原始消息使用低码距的代码进行编码，即使是单个错误也可能导致数据的重大误解。例如，如果表示数字'5'的代码字由于传输错误而被更改为表示'6'，接收者可能会收到错误的信息，导致在金融交易或医疗数据共享等关键应用中出现潜在故障。另一方面，当一个代码具有高码距时，它可以承受多个错误而不损害传输消息的完整性。例如，具有码距三的代码可以检测最多两个错误并纠正一个错误。这种能力在电信等领域尤为重要，在这些领域中，维护数据完整性至关重要。工程师们通常努力设计具有最大化码距的代码，以提高系统的性能。此外，码距的概念不仅限于错误纠正；它还影响数据编码的效率。具有较大码距的代码可能需要更多的位来表示相同数量的信息，这可能导致带宽使用增加。因此，工程师必须在码距和效率之间取得平衡，确保系统在最小化资源消耗的同时仍然有效。总之，理解码距对任何参与通信技术或计算机科学的人来说都是至关重要的。它不仅有助于设计更好的错误检测和纠正机制，还确保数据传输的可靠性和效率。随着技术的不断发展，码距的重要性只会增加，这突显了在这一领域持续研究和发展的必要性。通过掌握码距的概念，专业人士可以为创建更具弹性和高效的系统做出贡献，以满足我们日益数字化的世界的需求。