pseudo random noise

简明释义

伪随机噪声

英英释义

例句

1.In digital communications, we often use pseudo random noise 伪随机噪声 to test the robustness of our algorithms.

在数字通信中，我们常常使用伪随机噪声 pseudo random noise 来测试我们算法的鲁棒性。

2.The pseudo random noise 伪随机噪声 generator is crucial for creating secure communication channels.

生成伪随机噪声 pseudo random noise 的设备对于创建安全通信通道至关重要。

3.In simulations, pseudo random noise 伪随机噪声 can help to create realistic models of random processes.

在模拟中，伪随机噪声 pseudo random noise 可以帮助创建随机过程的真实模型。

4.Audio engineers sometimes use pseudo random noise 伪随机噪声 to test the frequency response of audio equipment.

音频工程师有时使用伪随机噪声 pseudo random noise 来测试音频设备的频率响应。

5.The security of the encryption system relies on the unpredictability of pseudo random noise 伪随机噪声 generated during the key exchange process.

加密系统的安全性依赖于在密钥交换过程中生成的伪随机噪声 pseudo random noise 的不可预测性。

作文

In the realm of digital communication and signal processing, the term pseudo random noise refers to a sequence of numbers that appears to be random but is generated by a deterministic process. This concept is crucial in various applications, including cryptography, telecommunications, and simulation modeling. Understanding pseudo random noise is essential for professionals in these fields, as it plays a significant role in ensuring data security and enhancing the quality of signal transmission.To delve deeper into this concept, we first need to differentiate between true randomness and pseudo random noise. True random noise comes from unpredictable physical processes, such as thermal noise in electronic circuits or radioactive decay. In contrast, pseudo random noise is generated by algorithms that produce sequences that mimic the properties of random sequences. These algorithms, known as pseudo-random number generators (PRNGs), use initial values called seeds to produce their sequences. The output can appear random, but if the seed is known, the entire sequence can be reproduced.One of the primary uses of pseudo random noise is in cryptography. Secure communication relies on the unpredictability of keys used to encrypt and decrypt messages. By employing pseudo random noise, cryptographers can generate secure keys that are difficult for unauthorized users to predict. For example, the Advanced Encryption Standard (AES) utilizes pseudo random noise to create encryption keys, ensuring that even if an attacker intercepts some encrypted data, they cannot easily decipher it without the correct key.Moreover, pseudo random noise is extensively used in telecommunications to improve signal quality. In spread spectrum communication techniques, signals are spread over a wider bandwidth using pseudo random noise. This spreading helps to minimize interference and enhances the robustness of the signal against jamming and eavesdropping. For instance, in CDMA (Code Division Multiple Access) technology, each user is assigned a unique pseudo random noise code, allowing multiple users to share the same frequency band without causing interference.In simulation modeling, pseudo random noise is employed to create realistic models of complex systems. For example, in financial simulations, analysts use pseudo random noise to model the unpredictable nature of market movements. By incorporating pseudo random noise into their simulations, they can better understand potential risks and make informed decisions based on more accurate predictions of future trends.Despite its usefulness, there are limitations to pseudo random noise. Since it is generated by deterministic processes, it can be vulnerable to attacks if the algorithm and seed are discovered. This vulnerability emphasizes the importance of using strong PRNGs in sensitive applications, where the quality of randomness directly impacts security and reliability.In conclusion, the concept of pseudo random noise is integral to many modern technologies. Its applications in cryptography, telecommunications, and simulation highlight its importance in maintaining data security and enhancing communication systems. As technology continues to evolve, the understanding and implementation of pseudo random noise will remain critical for professionals in various fields, ensuring that they can effectively address the challenges posed by an increasingly digital world.

在数字通信和信号处理领域，术语伪随机噪声指的是看似随机但由确定性过程生成的一系列数字。这个概念在加密、通信和模拟建模等各种应用中至关重要。理解伪随机噪声对这些领域的专业人士来说是必不可少的，因为它在确保数据安全和提高信号传输质量方面发挥着重要作用。为了深入了解这一概念，我们首先需要区分真实随机性和伪随机噪声。真实随机噪声来自不可预测的物理过程，例如电子电路中的热噪声或放射性衰变。相比之下，伪随机噪声是由算法生成的，产生的序列模拟了随机序列的特性。这些算法称为伪随机数生成器（PRNG），使用称为种子的初始值来生成它们的序列。输出可能看起来是随机的，但如果知道种子，则可以重现整个序列。伪随机噪声的主要用途之一是在加密学中。安全通信依赖于用于加密和解密消息的密钥的不可预测性。通过使用伪随机噪声，密码学家可以生成难以被未授权用户预测的安全密钥。例如，先进加密标准（AES）利用伪随机噪声来创建加密密钥，确保即使攻击者拦截了一些加密数据，他们也无法轻易解读，而不需要正确的密钥。此外，伪随机噪声在电信中被广泛用于提高信号质量。在扩频通信技术中，信号通过伪随机噪声在更宽的带宽上扩展。这种扩展有助于减少干扰，提高信号抵抗干扰和窃听的能力。例如，在码分多址（CDMA）技术中，每个用户被分配一个独特的伪随机噪声代码，使多个用户能够共享相同的频段而不会造成干扰。在模拟建模中，伪随机噪声被用来创建复杂系统的现实模型。例如，在金融模拟中，分析师使用伪随机噪声来模拟市场波动的不可预测性。通过将伪随机噪声纳入其模拟中，他们可以更好地理解潜在风险，并根据更准确的未来趋势预测做出明智的决策。尽管伪随机噪声非常有用，但它也有局限性。由于它是由确定性过程生成的，因此如果算法和种子被发现，它可能会受到攻击。这种脆弱性强调了在敏感应用中使用强大的PRNG的重要性，其中随机性的质量直接影响安全性和可靠性。总之，伪随机噪声的概念是许多现代技术的核心。它在加密、通信和模拟中的应用突显了它在维护数据安全和增强通信系统方面的重要性。随着技术的不断发展，对伪随机噪声的理解和实施将继续对各个领域的专业人士至关重要，确保他们能够有效应对日益数字化世界带来的挑战。