pseudo random binary sequence

简明释义

伪随机二进制序列

英英释义

例句

1.The simulation of random events often relies on a pseudo random binary sequence to ensure repeatability, as this 伪随机二进制序列 can be regenerated.

随机事件的模拟通常依赖于伪随机二进制序列以确保可重复性，因为这个伪随机二进制序列可以被重新生成。

2.In digital communications, a pseudo random binary sequence is used for spreading the signal over a wider bandwidth, making it a 伪随机二进制序列 essential for CDMA systems.

在数字通信中，伪随机二进制序列用于将信号扩展到更宽的带宽，使其成为CDMA系统中不可或缺的伪随机二进制序列。

3.Game developers use a pseudo random binary sequence to generate random events in gameplay, ensuring that each player's experience is unique while still being based on a 伪随机二进制序列.

游戏开发者使用伪随机二进制序列在游戏中生成随机事件，确保每位玩家的体验都是独特的，同时仍然基于一个伪随机二进制序列。

4.For testing algorithms, researchers often create datasets using a pseudo random binary sequence to simulate various scenarios, which is a 伪随机二进制序列 that mimics real-world data.

为了测试算法，研究人员通常使用伪随机二进制序列创建数据集以模拟各种场景，这是一种模拟现实世界数据的伪随机二进制序列。

5.In cryptography, a secure key can be generated using a pseudo random binary sequence, which is a 伪随机二进制序列 that appears random but is generated by a deterministic process.

在密码学中，可以使用伪随机二进制序列生成安全密钥，这是一种看似随机但由确定性过程生成的伪随机二进制序列。

作文

In the realm of computer science and cryptography, the concept of a pseudo random binary sequence plays a crucial role in various applications. A pseudo random binary sequence (伪随机二进制序列) is a sequence of numbers that appears to be random but is generated by a deterministic process. This means that while the sequence may exhibit properties similar to those of truly random sequences, it is produced using a specific algorithm that allows it to be reproduced if the initial conditions are known.The generation of pseudo random binary sequences is essential in simulations, cryptographic systems, and even in gaming. For instance, in simulations, these sequences can be used to model complex systems where randomness is a factor, allowing researchers to analyze different outcomes based on varying inputs. In cryptography, secure communication relies heavily on the unpredictability of keys, and pseudo random binary sequences provide a way to generate these keys in a manner that is both efficient and secure.Moreover, the use of pseudo random binary sequences extends into the field of statistics. Random sampling techniques often utilize these sequences to ensure that samples are representative of the population being studied. By using a pseudo random binary sequence, researchers can avoid biases that might occur if samples were selected manually.One of the most well-known algorithms for generating pseudo random binary sequences is the Linear Congruential Generator (LCG). This algorithm uses a simple mathematical formula to produce a sequence of numbers, which can then be transformed into a binary format. The predictability of LCG can be a drawback in some applications, particularly in cryptography, where security is paramount. As a result, more complex algorithms such as Mersenne Twister or Cryptographically Secure Pseudo-Random Number Generators (CSPRNGs) have been developed to enhance the quality of the generated sequences.Despite their name, pseudo random binary sequences are not truly random. They are deterministic, meaning that if you start with the same seed value, the sequence will always produce the same output. This property can be advantageous in certain contexts, such as debugging or testing, where reproducibility is necessary. However, it also means that if an attacker knows the algorithm and the seed value, they can predict the entire sequence, which is a significant concern in cryptographic applications.In conclusion, the pseudo random binary sequence (伪随机二进制序列) is a fundamental concept in computer science and related fields. Its applications range from statistical sampling to cryptography and simulation modeling. Understanding how these sequences are generated and their properties allows us to harness their power effectively while being aware of their limitations. As technology continues to evolve, the development of more sophisticated algorithms for generating pseudo random binary sequences will remain a critical area of research, ensuring that we can meet the demands of increasingly complex systems and security challenges.