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This paper discussed the example of the way in digital signal processing teaching, through the theoretical question simplification and abstract problem Visualization, Graphic representation, analogism and guide teaching-method was introduced to the teaching process.

本文以实例方式讨论了在数字信号处理教学中,把理论问题简单化、抽象问题形象化,将图示法,类比法及引导法等方引入教学过程中。

Main contribution of this dissertation can be concluded as follows: A new compensable algorithm for improving the accuracy of periodic signal DFT analysis is presented in details.

因此研究更快、更有效的数字信号处理算法是现代仪器平台技术中十分重要和关键的问题。

All of the work is applied to study the hardware structure and software implement cored in DSP system.

论文是围绕机械故障诊断分析仪系统展开,主要涉及机械故障诊断的基本理论、数字信号处理的基本算法,并且对以DSP为核心的系统的硬件的构成、软件的实现进行了深入的阐述。

With great improvement of software radio techniques, digital signal process techniques and micro-electronic techniques, digitalize technique grows to be perfect, to digitalize IF transmit system is becoming a serious task.

随着软件无线电技术、数字信号处理技术和微电子技术的蓬勃发展,数字化技术已逐渐走向成熟,中频发射系统的数字化已日益成为一项紧要的任务。

It isalso proposed in this paper that the combination of digital signalprocessing with fuzzy inference will achieve an excellent result incomplex image recognition problem in real time.

分析了利用图象识别解决问题的优势及难点,提出了运用数字信号处理技术与模糊推理技术相结合以解决复杂的图象识别问题的工程实现方案。

His research interest covers network control, process control, and multirate digital signal processing.

主要研究方向为网络控制,过程控制以及多率数字信号处理

The theory of multirate digital signal processing and its applications.

多抽样率数字信号处理理论及其应用。

Nonuniformly sampling theory and technique is an important component of digital signal processing subject.

非均匀采样理论和技术是数字信号处理学科体系的重要组成部份。

Systemic researching of these phenomena, finding the principle of them and decreasing the effections of the nonuniformly sampling with post data processing, will promote the development of the time-interleaved ADC system.

随着数字信号处理技术的发展,ADC的采样速率和精度成为各种电子系统的瓶颈,提高ADC的采样速率和精度成为学术界和仪器厂商的首要目标。

The main method used to detect the periodic variation signal caused by the back-up rool's eccentricity is MFFT (Modified Fast Fourier Transform).

主要控制思想是预先模型识别加在线参数自学习,主要数字信号处理手段是MFFT。

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