adaptive delta modulation

简明释义

自适应增量调制

英英释义

例句

1.In telecommunications, adaptive delta modulation is often employed for efficient voice encoding.

在电信中，自适应增量调制常用于高效的语音编码。

2.The audio processing system uses adaptive delta modulation to enhance sound quality during transmission.

音频处理系统使用自适应增量调制来提高传输过程中的音质。

3.Many modern hearing aids utilize adaptive delta modulation to provide clearer sound amplification.

许多现代助听器利用自适应增量调制来提供更清晰的声音放大。

4.The implementation of adaptive delta modulation in digital signal processing allows for reduced bandwidth usage.

在数字信号处理中实施自适应增量调制可以减少带宽使用。

5.With adaptive delta modulation, the system can adjust the step size based on the input signal's characteristics.

通过自适应增量调制，系统可以根据输入信号的特性调整步长。

作文

In the realm of digital signal processing, various techniques have been developed to enhance the efficiency and quality of audio and video transmission. One such technique is adaptive delta modulation, which has gained popularity due to its ability to compress data while maintaining high fidelity. This method represents a significant advancement over traditional pulse code modulation (PCM) methods, primarily because of its dynamic adaptability to the input signal's characteristics.Adaptive delta modulation (自适应增量调制) works by encoding the difference between the current sample and the previous one, rather than encoding the absolute value of each sample. This approach reduces the amount of data that needs to be transmitted, as it focuses on changes in the signal rather than the signal itself. The 'adaptive' aspect comes into play as the system adjusts its step size based on the rate of change in the input signal. When the signal varies rapidly, the step size increases to capture those changes accurately. Conversely, when the signal is relatively stable, the step size decreases, allowing for more efficient data compression.The advantages of using adaptive delta modulation are manifold. Firstly, it significantly reduces the bandwidth required for transmission, making it an ideal choice for applications where bandwidth is limited. Secondly, the reduced data size leads to lower storage requirements, which is crucial in devices with limited memory capacity. Additionally, since the system only transmits changes, it inherently provides a level of error resilience; if a single bit is lost during transmission, it affects only the immediate sample rather than the entire sequence.However, adaptive delta modulation is not without its challenges. One of the primary issues is the potential for distortion, particularly in scenarios where the input signal has rapid fluctuations. If the step size is not adequately adjusted, the system may either overshoot or undershoot the actual signal, leading to a phenomenon known as slope overload distortion. To mitigate this, careful tuning of the adaptive algorithm is necessary, which can increase the complexity of the implementation.Despite these challenges, adaptive delta modulation has found applications in various fields, including telecommunications, audio processing, and even in some medical devices where real-time monitoring of signals is critical. Its ability to provide a balance between data compression and signal fidelity makes it a valuable tool in modern digital communication systems.In conclusion, adaptive delta modulation represents a sophisticated method of signal encoding that adapts to the characteristics of the input signal. By focusing on the differences between samples and dynamically adjusting its parameters, it achieves efficient data compression without sacrificing quality. As technology continues to evolve, the relevance and application of adaptive delta modulation are likely to expand, paving the way for more advanced and efficient communication systems.

在数字信号处理领域，已经开发出多种技术以提高音频和视频传输的效率和质量。其中一种技术是自适应增量调制，由于其能够在保持高保真的同时压缩数据而受到欢迎。这种方法比传统的脉冲编码调制（PCM）方法有了显著的进步，主要是因为它能够动态适应输入信号的特性。自适应增量调制通过编码当前样本与前一个样本之间的差值，而不是编码每个样本的绝对值，从而工作。这种方法减少了需要传输的数据量，因为它关注的是信号的变化而不是信号本身。‘自适应’的方面体现在系统根据输入信号的变化速率调整其步长。当信号迅速变化时，步长增加，以准确捕捉这些变化。相反，当信号相对稳定时，步长减小，从而实现更高效的数据压缩。使用自适应增量调制的优势是多方面的。首先，它显著减少了传输所需的带宽，使其成为带宽有限的应用的理想选择。其次，减少的数据量降低了存储要求，这在内存容量有限的设备中至关重要。此外，由于系统仅传输变化，它固有地提供了一定程度的错误恢复能力；如果在传输过程中丢失了一位，则只影响即时样本，而不是整个序列。然而，自适应增量调制并非没有挑战。其中一个主要问题是失真，特别是在输入信号快速波动的情况下。如果步长没有得到适当调整，系统可能会超调或欠调实际信号，导致称为斜率过载失真的现象。为了缓解这一问题，需要仔细调整自适应算法，这可能增加实现的复杂性。尽管存在这些挑战，自适应增量调制已在多个领域找到了应用，包括电信、音频处理，甚至在一些医疗设备中，实时监测信号至关重要。其在数据压缩和信号保真度之间提供平衡的能力，使其成为现代数字通信系统中的一项宝贵工具。总之，自适应增量调制代表了一种复杂的信号编码方法，能够适应输入信号的特性。通过关注样本之间的差异并动态调整其参数，它实现了高效的数据压缩而不牺牲质量。随着技术的不断发展，自适应增量调制的相关性和应用可能会扩展，为更先进、更高效的通信系统铺平道路。