energy of signals 中文意思是什麼
energy of signals
解釋
信號的能量-
In theory, this may be in part because non - exercise activity thermogenesis ( neat ) is generally a much greater component of total energy expenditure than exercise, or because any type of brief, yet frequent muscular contraction throughout the day may be necessary to short - circuit unhealthy molecular signals causing metabolic diseases
從理論上來說，這樣的結果部分是由於非運動型活動的產熱作用比鍛煉占據了更多比例的能量消耗，或者是由於長時間短暫、頻繁的肌肉收縮造成短途的不健康的分子通路，後者是代謝綜合征中的必經途徑。 -
In this paper, on the basis of absorption of achievements of the research on auditory physiology, an auditory model simulationg the peripheral auditory system and part of the central auditory system is set up. the model is made of the fitlters presenting the characteristics of the basilar membrane for analyzing the voice signals, the half wave rectification modeling the inner hair cells and energy transfer of nerve fiber
在吸收聽覺生理學研究成果基礎上，建立了一個模擬外圍聽覺系統和部分中樞聖經系統功能的聽覺模型。模型由表徵基底膜的頻率分析的帶通濾波器組、內毛細胞的半波整流特性和神經纖維的能量轉換特性組成，該模型可以作為前端處理來提取語音信號的自相關圖譜。 -
The potential applications of amr include both civil and military communication, especially non - cooperative communications and communication confrontation, such as identifying signals, supervising signals, distinguishing interference, electronic confrontation, analyzing military threat, etc. on the basis of our analysis to the existing research on feature abstraction, the related feature abstraction methods are optimized in this paper, resulting several effective methods such as the feature abstraction based on transformation domain, stepped voltage level analysis, normalized carrier - free spectral energy analysis, squared signal and fourth powered signal analysis, etc. both the decision theory based on recognition algorithms and the artificial neural network ( ann ) based on recognition algorithms is analyzed, and the former is selected as it is more appropriate for this research
調制類型的自動識別廣泛應用於民用通信與軍用通信，尤其是對于非合作性通信、通信對抗，比如：信號確認、信號監控、干擾辨識、電子對抗、軟體無線電、電子救援、通信對抗、軍事威脅分析等。本論文在分析現有研究的基礎上，借鑒了已有的特徵提取方法，對相關調制類型特徵提取方法進行了優化，使用了一些有效的方法，如基於變換域特徵提取方法、梯層電平分析方法、剔除載波后的歸一化頻域能量分析方法、信號平方后的頻譜分析方法、信號四次方后的頻譜分析方法等。通過對基於決策理論和基於人工神經網路兩種識別演算法進行分析，本論文選擇了較適合的基於決策理論的識別演算法。 -
Based on many references, a evaluating function is proposed with performance index of hall call waiting time ( hwt ), people number in a car, energy consuming. the statistic approximation algorithm for hwt is introduced, based on the analysis of elevator traffic state, the calculation of traveling distance and stop number is explained in detail in the thesis. according to the characteristics of the elevator, a group of elevator teaching signals are constructed, by which the weight coefficients are trained according to the widrow - hoff rule
本文在借鑒了大量的文獻基礎上，提出以平均等候時間、轎廂人數、能源消耗為性能指標的評價函數；詳細介紹了乘客待梯時間hwt的統計近似演算法；基於對電梯交通狀況的分析，對停層次數和運行距離這兩個重要參數的計算進行了詳盡的介紹；依據電梯運行特性參數，構造一組電梯運行教師信號，並採用神經網路的widrow - hoff學習規則訓練權系數。 -
The results of numeral simulation show that the higher - energy neutrons counting rate is quite low, it requires more counting time or much stronger low energy neutron source to detect the reliable signals
計算結果表明，核彈頭裂變產生的較高能的中子數很少，需要較長的時間或較強的低能中子源才能探測到可靠的信號。 -
This thesis presents a new audio digital watermark algorithm based on has model. the steps : first, it classifies the signals through fft ; second, calculating the tones, noise and the overall masking threshold of different phases through has, and changing the energy value of tones which are more than that of the overall masking threshold to embed the watermark information
提出了一種基於人類聽覺系統（ has ）模型的音頻數字水印演算法，該演算法首先對信號進行分段離散快速傅立葉變換（ fft ） ，再根據人類聽覺系統模型計算出各段的類純音、類噪音以及各段的總體掩蔽閾值，通過改變大於總體遮蔽閾值的類純音的能量值來嵌入水印信息。 -
According to the time variation and feature extraction difficulty of rotating machinery vibration signals, the rule of choosing wavelet basis function and wavelet denoising soft - thresholding value is proposed after making further research on wavelet transform technique, using for denoising rotating machinery vibration signals the conception of " energy " is proposed, based on the theory that signals energy in all frequency can be affected by faults deeply, to construct feature vectors of rotating machinery vibration signals which can give a convenient disposal way to fault feature extraction and fault intellectual diagnosis
針對旋轉機械振動信號的非平穩性及特徵難以提取的特點，通過對小波變換技術的進一步研究，提出旋轉機械振動信號處理的小波基函數選擇原則及小波包消噪的軟閥值原則。利用小波包變換對旋轉機械振動信號進行消噪處理和特徵提取。並以「能量」為元素，構造旋轉機械振動信號的特徵向量，從而為旋轉機械振動信號的故障特徵提取以及后續的故障智能診斷提供了一種便捷的處理方法。 -
Finally, we discussed the way of dealing with micro - leaking - signal as to fine a way to locate the leaking place accurately. at the same time, i analyze these signals with weina filter and energy statistics in order to locate the leaking point
結果通過兩套採集系統可以有效的採集到微弱的泄漏信號，通過使用有效的信號分析法，能夠有效的分析泄漏信號和定位漏點，得到了實質性的結果。 -
Due to energy spread of return target signals between doppler cells, both false alarms and missed alarms increased
機動目標回波能量在多普勒單元間的擴展還會導致弱目標的漏檢和虛警率的提高。 -
Energy spectrum ananlysis using wavelet technique is studied and applied to deal with feature exstraction of missile fault signals, from which a feasible feature vector is created, to be used by the fdes based on inn. parameters for diagnosis are also selected based on two different criteria : the cluster divergence of sample datas and the diagnosis reliability of parameter candidates
研究了小波能量譜分析技術在地空導彈故障數據特徵提取方面的應用；提出了基於樣本綜合離散度和參數診斷置信度兩種診斷參數選擇的方法，從而為基於集成神經網路的故障診斷做好了準備。 -
First, the traditional speech detection method based on short - time energy is discussed, including its principle and implementation. then it is used for the jumping - off point detection of speech signals transmitted by awgn channel. simulation results are provided
包括該方法的原理、實現，並將其應用於加性高斯白噪聲通道干擾下的語音信號起點檢測實驗，給出了實驗的統計結果。 -
With the run of rhic, how to find the signals of qgp from the final hadrons state has become the sensitive topics in high energy heavy ion collision
隨著相對論重離子對撞機rhic的運行，如何從末態強子中尋找標志qgp生成的信號是當前高能核物理界的重大熱點課題。 -
Compared with the similar research results, the weighted control ic here has the following characteristics : ( 1 ) the circuit structure is simpler ; ( 2 ) the chip ' s fabrication is compatible with standard cmos process ; ( 3 ) n - mosfets with high w / l ratio and short channels are used for weighting and output to reduce the insertion loss ; ( 4 ) the weighting factor varies in a relatively wide range with the controlling signals ; ( 5 ) input and output impedance approach 50 in low frequency ( e. g. 50mhz ), while in higher frequency they slightly deviate from 50, hence the energy reflection lower than 0. 1 ; ( 6 ) it completes the functions of sampling, weighting, controlling and summing of high frequency analog signals
它的加權控制電路與已報道的相關電路相比具有如下特點：電路結構簡單；製造工藝與普通cmos工藝兼容：短溝道，高寬長比的nmos晶體管具有低的通導電阻，將其作為加權、輸出器件可降低由電路引起的插入損耗；改變加權信號，可實現權值在較大范圍內的連續變化；輸入、輸出阻抗在低頻（如50mhz ）下接近50 ，而在高頻下略有偏離50 ，但反射系數均低於0 . 1 ；實現了對高頻信號的取樣、加權、控制、疊加功能的迭加。 -
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。 -
Through processing of digital signals, the energy spectrum of bearing vibration has been obtained, and the gray incidence dynamic matrix being improved, and the energy spectrum of front and rear shafts being analysed by using the said matrix, and the prediction method of maximal peak value of the ball mill ' s coal pulverizing capacity being put forward
摘要通過數字信號處理獲得軸承振動能量譜，對灰關聯動態矩陣進行了改進並用其對前後軸能量譜進行分析，提出了磨煤機制粉出力的最大峰值的預測方法。 -
Conventional detector ( single - user matched filter ) distinguishes each user by the crosscorrelation of their spread - spectrum codes. in practice, however, its performance is much deteriorated due to the existence of noise in channel and strong multi - access interference, i. e. near for effect. a new method using independent component analysis is proposed in this paper. the - received energy of signals is controlled effectively, thus the near - far effect is overcome as much as possible ; moreover, the effect that noise imposed on the detector is mostly reduced. simulations verify the effectiveness of this method
傳統檢測器（單用戶匹配濾波）利用擴頻碼之間的互相關特性來區分各用戶信號.而在實際應用中，通道噪聲和近距離用戶對遠距離用戶的強多址干擾即遠近效應，使得接收機的性能受到很大影響.本文將獨立分量分析法引入傳統接收機，有效控制接收信號的能量，從而極大地提高了接收機的抗遠近性能，同時噪聲的影響被盡可能消除.模擬結果表明了該方法的有效性和可行性 -
Based on the character of short - time non - stationary random signal, the feature of energy distribution of multi - interval - time in millisecond blast signals was investigated by means of the wavelet packet method
摘要根據爆破振動信號具有短時非平穩的特點，利用小波包分析技術對滿足分析要求的多段微差爆破振動信號的能量分佈特徵進行研究。 -
Abstract : a new non - contact measurement system of the ammunition energy is discussed, which can be used to measure the performance parameters of all kinds of ammunition chemical battery in non - contact means. as infra - red optical medium is applied to send signals in this system, the problems in the traditional measuring such as low - precision measurement, existing of the ac - dc boundary and the multi - factors arising thereform are overcome, and the noncontact measurement precision of the ammunition energy performance parameters is improved
文摘:論述一種彈載能源非接觸測量系統，適用於各型彈載化學電池性能參數的非接觸測量，該系統採用紅外光介質從電磁場中傳遞信號，克服了傳統測量方法精度低和「交直流界線」及其導致的「多系數」等問題，大大提高了彈載能源性能參數非接觸測量的準確度。 -
Experiment datas under fluctuation complexity analysis of three different signals all show that there exist " fluctuation " regime between aggregative fluidization and particulate fluidization. the reason is that there exists mutual competition of obtaining resource ( energy and infonnation ) between all subsystem or variable in transition regime
漲落復雜性參數表徵的過渡區域有明顯的上下起伏漲落的過程，是由於在過渡區流化床動力系統中各個子系統或變量在獲取能量和信息方面存在相互竟爭協同，也就是在獲取資源上存在優勢上的差異造成的。 -
In this paper, a new way of real - time damage detection method was proposed according to the high speed working situation of the composite flywheels for energy storage, and a suit of equipment was developed to test the composite samples with piezoelectric disc built - in, the response waves before and after the damage occurred were recorded to the computer. on the base of traditional spectrum analysis of signal recorded, the wavelet analysis was introduced and the program in matlab language was made. with the wavelet packet decomposition of the signal, the relations between the change of response signals and damage characters were gotten, a database for damage recognition was created
本文結合儲能復合材料飛輪高速旋轉的工作特點，提出了一種在線檢測飛輪轉子損傷的方法，自主設計一套實驗裝置對模擬各種損傷的的試樣進行了測試，試樣損傷前後的響應信號被採集后存入計算機中；在對採集信號進行傳統的頻譜分析的基礎上，引入了先進的小波分析理論，利用matlab語言編寫程序，對信號進行小波分解，得到了信號變化和損傷特徵之間的關系，建立了一個識別飛輪損傷的數據庫；小波包分解得到信號對比圖和特徵向量，可以有效判定材料內部有無損傷和損傷的程度，結合頻譜分析等，可一定程度上判定損傷的類型，為儲能飛輪的安全運轉和智能化運作提供了決策依據。
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