混雜信號 的英文怎麼說
中文拼音 [húnzáxìnháo]
混雜信號
英文
clutter-
Again call the the ratio, namely the electric voltage of the enlarger s exportation signal with at the same time output s voice ratio for electric voltage, usually use the decibel number to mean. the equipments s letter the ratio is more our output of high enunciation is more little. by any large, letter the ratio is more big, and the elucidation is in the in the signal a the quantity for more smallly, voice returning putting is more high, otherwise contrary. letter the ratio should be generally not lower than 70 dbs, high the letter of the true box the ratio should attain 110 dbs are above
又稱為訊噪比，即放大器的輸出信號的電壓與同時輸出的噪聲電壓的比，常常用分貝數表示。設備的信噪比越高表明它產生的雜音越少。一般來說，信噪比越大，說明混在信號里的噪聲越小，聲音回放的音質量越高，否則相反。Hybrid control based on q - learning for urban traffic signal
學習的城市交通信號燈混雜控制To detect transient signals under complex background, a novel method of aliasing - free exponential bilinear time - frequency distribution is presented in this paper, which can avoid the frequency aliasing and information loss existing in the traditional bilinear distributions, reduce the cross - terms effectively and possess high time - frequency resolution
摘要針對復雜背景條件下瞬時信號的探測，提出一種新的無混疊雙線性時間頻率分佈方法，該方法能夠避免常用的雙線性時頻分佈中的頻率混疊與信息丟失，有效減小交叉項干擾，而且具有較高的時頻解析度。Blind separation of hybrid mixture signals
雜系混合信號的盲分離The new design methodology for complex digital module in mixed signal circuit realizes a real design automation
全新的混合信號中的復雜數字模塊的設計方法，實現了設計真正的自動化。We reconstructed the phase space and calculated the nonlinear parameters such as correlation dimension, the largest lyapunov exponent, approximate entropy, and l - z complexity of the data. it can be conclud from the results that the reconstruction of heart beat rate signal is strange, its correlation dimension is between 5 to 7 and have the character of fractal dimension, its largest lyapunov exponent is larger than zero, its approximate entropy and l - z complexity are obviously differ from noise. we can draw a conclusion from all above : the heart beat rate signal is n ' t simple noise, it is high dimensional chaos obeys certain dynamical law
我們還對信號進行了相空間重構，計算了信號的關聯維數、最大lyapunov指數、近似熵和復雜度這幾個非線性特徵量，我們發現，心率信號的吸引子是奇怪吸引子，關聯維數介於5到7之間，具有分維的特徵，其最大lyapunov指數大於0 ，其近似熵值和復雜度值明顯區別于噪聲，這說明心率信號不是隨機噪聲，它是服從確定性動力學規律的高維混沌信號。The chaos sequence was applied in these two algorithms to increase its security and was served separately as the random watermark generator and the watermark image encryption techniques. due to the analysis of the image characteristics, we determined the watermark strength by the classification of the image content and obtained better robustness and imperceptibility. new algorithms of meaningful digital watermarking in svd domain with chaotic transform encryption are proposed
混沌序列在這兩類演算法中分別作為隨機水印信號發生器和二值圖像水印的混沌加密手段，具有安全性高、形式簡單的優點；利用hvs特性，分別在時空域和dct頻率變換域中計算圖像內容的自適應嵌入強度，增強了演算法的穩健性；水印的嵌入和檢測計算復雜度小，演算法簡單。The development of modern electrical technology causes phenomenal progress to be made in the improvement of the signal processing methods. the problems in signal processing are becoming more and more complex, many linear signal processing methods can ’ t meet the request, so, nonlinear signal processing methods become more and more widely used. the appearance of chaotic theory brings nonlinear signal processing more convenience, and promotes the development of nonlinear signal processing
現代電子技術的發展使信號處理手段的更新也突飛猛進，由於信號處理中的問題越來越復雜，很多的線性信號處理方法已經不能滿足要求，因此，非線性信號處理方法的應用越來越廣泛，而混沌學的出現給非線性信號處理帶來了更多的方便，使非線性信號處理方法向前發展。This thesis mainly describes a tesing and consoling kit based on ni " s special virtual instrument software development kit - labwindows / cvi, aming at traditional testing device " s limitation such as high cost of hardware, complexity of construct, singleness of function etc. the tesing and consoling kit can condition the signal intermixed with interfere noise and deal with the collected datum through common signal conditioning ( amplification, isolation multiplex filtering ) -, software calibration digital filtering etc to analyse signal in time and frequency domain
本文針對傳統測量設備硬體成本高、構造復雜、重用性差、功能單一等方面的問題，著重探討了利用ni的labwindows cvi這一虛擬儀器開發軟體構建的測控平臺，通過通用信號調理（如放大、隔離、多路轉換、模擬濾波等） 、軟體校正、數字濾波等方法對混雜有干擾的信號進行調理及採集后的數據進行處理，然後進行時域或頻域的分析。Radar is used to detect and identify different targets. as the name has shows its main purpose, one of the main task of radar is to detect the target in vary background
針對混沌雜波背景中的信號檢測問題，本文把神經網路應用於海雜波中的雷達信號檢測問題中。Although wmhs were prealent and associated with cognition in unadjusted analyses, there was no discernible association between wmhs and the cognitie measures in this study after adjustment for age
雖然白質高信號在未調整的數據分析中與認知功能相關，但是，在去除了年齡這個混雜因素后，白質高信號和認知功能並沒有顯著的聯系。The main contents of this dissertation are follows : the mathematical model of chaos is discussed deeply from mathematical map, statistical viewpoint for the purpose of analysis and synthesis chaotic signal. the dissertation analysis chaotic signals deeply, mainly about the correlation property ( including auto - correlation and cross correlation ) and lyapunov exponent. the study shows the ideal auto correlation and cross correlation of the chaotic signals by using theoretical derives and computer simulations
本文首先對混沌信號的數學模型進行了深入的討論，並分別從數學映射、統計學角度對其數學模型進行了全面的研究，特別是全面總結了混沌系統的統計學模型的研究成果，討論並給出了混沌與噪聲的區別與相似之處；雷達信號處理的重要一步是雜波中的信號檢測問題。However, signals take effect by the switch of signal phases, which introduces integer control values into the traffic control problem, so the traffic control problem becomes a large - scale mixed integer programming problem, the computation of which requires an exponential - complexity optimiz ation algorithm
但是，信號燈通過相位切換對交叉口進行控制，同時也在交通控制模型中引入了整數決策變量，使交通控制模型成為一個大規模混合整數規劃問題，需要指數復雜度的優化演算法。For the detection problem in chaotic noise ( clutter ), this paper presents to use the rbf neural network to solve it. analysis of the algorithm is given out
全針對混沌雜波中的信號檢測問題，基於神經網路具有的擬和任意非線性函數的能力，建立了混沌系統的神經網路模型。Chaos is a kind of complicated oscillation, which is produced by definite system and described by nonlinear equation. it lies between cycle oscillation and noise. because of the sensitive initial value and wide spectrum, chaotic application in the field of secure communication and spread spectrum communication has already attracted people ' s eyes
混沌是非線性方程描述的確定系統所產生的介於周期振蕩與噪聲之間的一種復雜振蕩，由於混沌信號的初值敏感性和廣譜性，它在保密通信和擴頻通信領域中的應用已經引起人們的廣泛關注。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。Therefore, the target signals, which are submerged in chaos clutter or chaos clutter mixed with a certain intensity of white noise, can be detected on the basis of the predicting error
這樣可根據預測誤差對淹沒在混沌雜波及混沌雜波加一定強度的白噪聲中的弱目標信號進行檢測。To solve the weak target detection under the clutter background, combined with dynamic chaotic model, the chaotic property of the laser echo signal is discussed and a novel algorithm is presented based on chaotic signal detection using neural network predictor
摘要為了解決雜波背景下的激光微弱目標檢測的問題，結合混沌動態建模思想，討論了激光回波的混沌特性，提出激光信號非線性混沌序列的神經網路建模、預測及信號檢測演算法。But they have the disadvantages such as poor complexity, poor security and insufficient amount of sequence numbers among the family of codes, the chaotic signals have noise ? ike, broadband frequency spectrum, they can be used as spreading codes, furthermore, chaos system is extremely sensitive on initial conditions so that the various initial conditions given by chaos system can provide with large sum of spreading sequences and this can meet the demand of cdma, this thesis sets out to study on using chaos system to generate spreading sequence s, there are two parts is this paper : firstly, we study the basic theory of spread ? pectrum communication and the characteristics of chaos so as to prove the applicability of chaos system to be used in spread ? pectrum ii communication system
現在使用的擴頻碼有m序列， gold碼和r - s碼等，這些擴頻碼具有良好的隨機性，但普遍存在著復雜度低、保密性差以及同一碼族序列數目少等缺點。混沌信號具有類似噪聲、寬帶連續頻譜的特徵，正符合擴頻通信中對擴頻碼的要求，而且混沌系統對初始值極其敏感，可以通過給混沌系統賦予不同的初始值得到為數眾多、不相關的擴頻序列，這正好滿足碼分多址的要求。本文對利用混沌系統應用於擴頻通信作了一些研究工作，主要包括兩部分：第一部分：探討了擴頻通信的基本理論和混沌的基本特性，說明將混沌系統應用於擴頻通信系統的可行性。Theoretical analysis shows that information contained along one common ridge could be used to represent the interacted ridges, and be used to reconstruct the related components. thirdly, a common ridge relocation method is presented based on reassignment method that is generally used to improve the energy concentration on certain distribution plane. the relationship between the extracted complex ridge image and the corresponding common ridge is studied ; a common ridge relocation method is derived from reassigning the interacted ridges
其次，針對脊之間形成干擾，無法分辨的情況，本文提出可以用一條公共脊來代替多條混雜在一起的脊，利用公共脊上分佈的數據來表示多條相鄰脊上的信息，用來對多個信號分量同時進行重建，並且從理論上分析了這一方法的近似效果。分享友人