discrete-time signals 中文意思是什麼
discrete-time signals
解釋
離散時間信號-
Taking a view of pure time field, this paper presents dissolvable signals and basic concepts of sampling ; and also gives the very condition of discrete of signal ; this paper uses linear algebra to analysis this kind of signal and then gives some results and relevant deductions ; based on these results, 1 made a further step to analysis some typical band - limited signals in order to proof the coherence of my theory of dissolvable signal to the typical sampling theory ; i made some preliminary study about the feasibility of sampling and recovering of this kind of signal
本文從純時域角度出發，給出了可分解信號及其采樣的基本概念；也指出了信號可離散化的條件；利用線性代數理論給出了對這類信號進行采樣的分析理論及相應的推論；並用這些結論對典型的帶限信號進行了分析，證明可分解信號采樣定理與經典采樣理論的一致性；初步探討了對這類信號的實行采樣與恢復的工程實現問題。 -
The paper also studies fast arithmetic and programming of discrete time quadrature wt and wpt and takes a deep look into their additional applications in motor testing, including denoising, filtering and so on. starting from basic theory of time - frequency analysis and wavelet analysis of asymptotic signals, this paper investigates several if law extraction methods and presents an especially effective one using wavelet ridge
論文從時頻分析的基本理論出發，在漸進信號小波分析的基礎上，研究了漸進信號小波變換的漸進估計方法，提出了利用小波脊線來提取信號頻率隨時間連續變化規律（即瞬時頻率）的方法。 -
To solve the aberrance problem of electromagnetic signals caused by fourier transform of limited time and discrete sampling, the function and the influence of windows with different scales were discussed
摘要針對電磁法物探觀測信號離散傅立葉變換中信號畸變問題，研究了不同尺度窗口對信號分析的作用和影響。 -
These systems operate on a wide variety of continuous time signals, which include speech, medical imaging, sonar, radar, electronic warfare, instrumentation, consumer electronics and telecommunications systems ( terrestrial and satellite ). one of the key to the success of these systems has been advances in the development of the font end of the electronic systems - analog - to - digital converters ( a / d ) which converter the continuous - time stimuli signals to discrete - time binary - coded form
這些系統可廣泛地應用於處理連續時間信號，包括語音、醫學成像、聲、雷達、電子對戰、儀器、消費電器、遠程通訊（地面和衛星）等，而這些系統成功的關鍵因素之一就是電子系統的前端部件? ? a d取得了長足的進步（ a d把連續時間信號轉換成離散時間、二進制編碼的數字信號，便於后級精確的數字信號處理） 。 -
Secondly, a network based on multi - terminal components modeling methodology was applied to model mems at system - level by the analogy and mixed - signal modeling tool of vhdl - ams, for the system - level model of mems is a mixed signal model, which has attributes of multi - energy domains coupling, multi - signals mixed and interacting between discrete - event subsystems and continuous - time subsystems. with this method, the whole system can be divided into some subsystems defined as multi - terminal components ; the behavior of the subsystems depends only on their terminal signals ; the information exchange between subsystems was done by the signals at their terminals. the continuous - time systems or discrete - event systems can be modeled and simulated with this method, which satisfied the requirements of nonlinear systems and large signals analysis
同時，針對mems的系統級模型是一個混合信號模型，具有多能量域耦合、多信號混合、離散事件子系統與連續時間子系統交互的特點，使用vhdl - ams作為混合信號模型建模的工具，採用多埠組件網路建模方法建立了mems系統級模型，把微型機電系統分解為多個子系統或組件，各子系統被定義為多埠組件，子系統的內部行為通過其埠行為來描述，子系統間的能量與信號的交換通過組件的埠映射來實現，從而實現了對連續時間系統和離散事件系統的建模與模擬，滿足了非線性系統以及大信號分析要求。 -
By studying the discrete fourier transform properties of the band - limited digital signal, the authors introduce alternating projection neural networks into the paper, expand apnn ' s application scope from real field to complex field, and present several important conclusions on apnn. analyzing and discussing network ' s tolerance to noise, convergence rate and the spectral leakage problem of the truncated signal expected to be extrapolated by using these conclusions, the paper presents an extrapolation algorithm for band - limited signals based on alternating projection neural networks. a lot of simulation experiments show that the algorithm is effective. in addition, the algorithm is also effective to spectrum extrapolation. owing to adopting network structure, the algorithm is prone to parallel computation and vlsi design, and consequently can satisfy real time military processing needs
本文通過對頻帶受限數字信號的離散傅立葉變換特性的研究，引進了交替投影神經網路，並將其應用范圍從實數域拓廣到復數域，且給出了在復數域仍然成立的若干結論.運用這些結論，在對網路噪聲抑制、網路收斂速度及待外推信號因截斷而造成頻譜嚴重外泄問題的分析與討論的基礎上，提出了一種基於交替投影神經網路的外推演算法.模擬實驗表明該方法是行之有效的.另外，該演算法對頻譜外推同樣適用；由於它採用全互連神經網路結構，易於并行計算和vlsi實現，從而可滿足軍事上實時處理的需要 -
Contrasting this, in feedback control the most majority of complex systems are controlled using sampled observations of system behavior taken at discrete time instants. thus the resulting controlled systems are hybrid systems, which are called sampled - data systems, involving both continuous - time and discrete - time signals. the investigation of sampled - data systems is motivated primarily due to the widespread use of digitally implemented controller in present - day feedback control of continuous - time systems
工程實踐中遇到的動態系統通常是連續時間系統，與此相反，大多數復雜系統的反饋控制卻是通過觀察采樣點上的系統行為來進行控制的，結果所得到的反饋控制系統是個混合系統，它含有連續信號和離散信號，這樣的系統稱之為采樣系統，當今連續受控系統中數字控制器的廣泛運用促進了對采樣系統的研究，已有的線性采樣系統理論顯然不能滿足處理非線性采樣系統的需要，因此近年來非線性采樣系統的分析與設計已經成為國際控制論界的持續的研究熱點之一。 -
On the one hand, the traffic system has hybrid dynamic property of discrete event and continuous time, high nonlinearity, non - stationary randomness with unknown distribution, fluctuating system parameters according to environmental conditions and people ' s travel demand, and strong - coupling adjacent intersections. therefore, the states of a traffic system are difficult to measure, predict or control. on the other hand, several kinds of control action are taken on the urban traffic system, such as signals at intersections, guiding information and etc. signals are the most commonly used control action
一方面，從系統動力學角度分析，具有離散事件一連續時間混合動態特性、高度非線性、非平穩未知分佈的隨機性、系統參數經常隨環境條件和人們出行需求發生漂移以及交叉口之間具有強耦合特性等，所以系統狀態難以準確測量、預測和控制；另一方面，交通系統的控製作用有很多種，如信號燈、誘導信息等，信號燈是當前被廣泛應用的主要控製作用。
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