是与小波分析的理论研究紧密地结合在一起的。现在，它已经在科技信息产业领

是与小波分析的理论研究紧密地结合在一起的。现在，它已经在科技信息产业领域取得了令人瞩目的成就。电子信息技术是六大高新技术中重要的一个领域，它的重要方面是图象和信号处理。现今，信号处理已经成为当代科学技术工作的重要部分，信号处理的目的就是：准确的分析、诊断、编码压缩和量化、快速传递或存储、精确地重构（或恢复）。从数学地角度来看，信号与图象处理可以统一看作是信号处理（图象可以看作是二维信号），小波分析的许多分析和应用问题，都可以归结为信号处理问题。现在，对于其性质随时间是稳定不变的信号（平稳随机过程），处理的理想工具仍然是傅立叶分析。但是在实际应用中的绝大多数信号是非稳定的（非平稳随机过程），而特别适用于非稳定信号的工具就是小波分析。

結果 (英文) 1:

Wavelet analysis and is closely combined with theoretical research. Now, it has been in the information technology industry has made remarkable achievements in the field. Electronic and information technology is an important one in the six major high-tech fields, it is an important aspect of image and signal processing. Today, signal processing has become an important part of the work of science and technology, signal processing is: accurate analysis, diagnosis, coding and quantization, express delivery or storage, accurate reconstruction (or restore). From a mathematical point of view, signal and image processing can be unified as a signal processing (image can be thought of as a two-dimensional signal),Of the many analyses and application of wavelet analysis, can be due to signal processing problems. Now, for its nature is unchanging over time signals (stationary random process), ideal for processing is Fourier analysis. But in the real world most of the signal is very stable (non-stationary random process), while the special tool is applied to unsteady signal using Wavelet analysis.

結果 (英文) 2:

Wavelet analysis theory and closely together. Now, it has made remarkable achievements in the field of information technology. Electronic information technology is an important one in six high-tech field, it is an important aspect of image and signal processing. Today, the signal processing has become an important part of contemporary scientific and technological work, the purpose of signal processing is: accurate analysis, diagnosis, and quantification coding compression, fast delivery or storage, accurately reconstruct (or restore). From the perspective mathematically, signal and image processing can be seen as a unified signal processing (image can be seen as a two-dimensional signal), many analysts and application of wavelet analysis, can be attributed to the signal processing problems. Now, for its nature is stable and unchanging over time signals (stationary random process), is still the ideal tool for handling Fourier analysis. But the vast majority of the signal is non-stable (non-stationary random process), and is especially suitable for non-stationary signals is the wavelet analysis tool in practical applications.

結果 (英文) 3:

Theoretical research and wavelet analysis closely together. Now, it has been made to attract people's attention achievements in the field of science and technology and information industry. Electronic information technology is an important field of six new and high technology, an important aspect of it is the image and signal processing. Nowadays, signal processing has become an important part of contemporary science and technology work, the purpose of signal processing is to: accurate rapid analysis, diagnosis, compression and quantification, transfer or storage, accurate reconstruction (or recovery). From the mathematical point of view, signal and image processing can be unified as signal processing (image can be seen as a two-dimensional signal),Many analysis and application of wavelet analysis, can be summed up as the signal processing problems. Now, for the nature of time signal is stable (stationary random process), an ideal tool for processing is still Fu Liye analysis. But in the practical application of the vast majority of signal is not stable (non stationary random process), and is especially suitable for the non steady signal is wavelet analysis tools.