預檢波器 的英文怎麼說
中文拼音 [yùjiǎnbōqì]
預檢波器
英文
predetector- 預 : Ⅰ副詞(預先; 事先) in advance; beforehand Ⅱ動詞(參與) take part in
- 檢 : Ⅰ動詞1 (查) check up; inspect; examine 2 (約束; 檢點) restrain oneself; be careful in one s c...
- 波 : Ⅰ名詞1 (波浪) wave 2 [物理學] (振動傳播的過程) wave 3 (意外變化) an unexpected turn of even...
- 器 : 名詞1. (器具) implement; utensil; ware 2. (器官) organ 3. (度量; 才能) capacity; talent 4. (姓氏) a surname
-
In the paper, prescale technology, interpolate method, averaging method and multiple period synchronization method are used to measure the frequency accurately. diode demodulating technology, and power attenuated method or probe coupling & water load technology are employed to measure the power of high power microwave. isothermal technology is used to improve the stability of demodulator and to expend the range of square linear region
本文採用預分頻法、內插法、多周期同步法、平均法實現了頻率的精確測量;利用二極體檢波技術,結合衰減法或探針耦合+水負載技術實現了大功率微波功率的測量;採用恆溫技術提高了二極體檢波器穩定度;完成了單片機串口通信協議設計和系統電磁兼容的分析和設計。At the present time the prediction method of attracting pest with black light and recognizing and counting by man is generally adopted. there are some serious shortages such as bad recognition accuracy and low efficiency. it reduces seriously accuracy and timeliness of prediction and is disadvantage in guiding insect disease prevention
目前普遍採用的黑光燈誘集害蟲、人工識別計數的測報方法,存在識別準確性差、效率低等嚴重缺陷,極大地降低了測報的準確度和時效性,不利於指導農田害蟲的防治工作,因此本文提出了基於機器視覺和小波分析的圖像識別技術,用於農田害蟲的自動檢測預報。In applying western medicine, initiates prepared medical supplies, blood testing equipment, urine testing strips, an electrocardiograph, an abdominal ultra - sound scanner, and the latest and most professional eye - examination instruments used by ophthalmic experts. this was a great step toward meeting the medical needs of local residents in this modern age. while diagnosis and treatment were provided, much emphasis was also placed on educating the people that prevention is better than cure
義診當中,中西醫服務都廣受歡迎西醫方面除了藥品部分,還準備了血液生化檢驗機尿液篩選試紙心電圖機器腹部超音波機器等等,還有由眼科專科醫師所準備的最新最專業的眼睛檢查儀器,以最合乎時代需要的角度向前邁一大步,除了疾病治療,更朝向預防勝于治療的型態,所以幾乎所有前來接受義診的民眾,都要求接受各種檢驗。A new method for non - interposed testing to the flux and pressure parameters is proposed with ultrasonic. based on the new method, on - line fault diagnosis for weapons and equipments is achieved
本文提出的用超聲波非介入式管外測量方案,無需預留檢測介面,實現了流量、壓力的實時在線檢測,為武器裝備現場診斷搶修奠定了可靠基礎。The main achievements are as follows : the theory models of defect mfl field are set up ; based on the magnetic dipole model and finite element model, the distribution of defect mfl field is simulated in the dissertation ; the component of flux density ( magnetic filed ) parallel to the surface of pipe is detected by a circumferential array of hall probes ; the factors including defect geometry parameters, defect surface angle and shape, pipe material, field intensity, vehicle velocity, background magnetization, operating pressure and remanent magnetization and so on influence the mfl signal characteristics
採用霍爾元件作為缺陷漏磁檢測傳感器,獲得管道軸截面漏磁場切向分量的漏磁信號;研究了缺陷外形尺寸、缺陷傾角和形狀、管道材質和磁化強度、檢測儀移動速度、管道背底磁場、管內壓力和剩磁對漏磁信號的影響。提出了各通道增益放大、各路漏磁信號偏離調整、波形微分、數字濾波和平滑等漏磁信號預處理方法;分析了等空間采樣的漏磁信號轉換為等時間采樣信號的必要性,研究了漏磁信號的小波去噪方法。The signal testing unit examines directly the production parameter - the belt " s velocity and sends out electrical signal similar to sine wave. the signal handling and analyzing unit disposes of the sensor " s output signal by amplifying, plasticisering a / d transforming and measuring and displays it digitally. after the alarming and controlling unit compares the testing signal with the standard one and analyses, it will show the normal production situation or alarm at the abnormal state and control the related equipments if it is necessary
信號檢測單元直接檢測皮帶速度,並輸出近似正弦波的電信號:信號處理與分析單元對傳感器輸出信號進行放大、整形、 a d轉換和計算等處理,並進行數字顯示;預警、報警、控制單元將信號與標準信號進行比較,經分析后顯示正常狀態或對異常狀態進行聲、光預警、報警。Then, a kind of wnn based on single - scaling multidimensional wavelet frames and its matching pursuit algorithm is introduced. it is applied to approximate the nonlinear terms with lipschitz property of nonlinear systems to establish the adaptive state observer. the robust fault detection is realized by the observer, demonstrating the predominant performance of the wnn
然後利用一種基於單尺度小波框架的小波網路,逼近一類滿足lipschitz條件的非線性系統的非線性項,構造自適應狀態觀測器,實現了系統的魯棒故障檢測,同時採用徑向基神經網路進行殘差處理,實現了故障預報。It discusses motion - detector response to narrow - band image motion and to broadband images. studies show that the motion - detector can provide velocity estimates in organism ' s natural visual environment, and physiological prefilters can improve determination of velocity of moving image
研究表明:運動檢測器可以精確檢測多頻譜自然圖像速度,在運動檢測器前增加生理學預濾波環節可以改善圖像運動速度的估計。The article relates that the tool ' s measurement precision has been improved by applying cycling acquisition method, self calibration function and phase - sensitive detector. the image coverage rate is improved and reached to 60 percent by increasing the number of pad ' s buttons. the tool carried out two logging functions : fast - scanner mode and dip mode
本文敘述了採用循環採集法、自刻度功能、相敏檢波等方法提高了儀器的測量精度;通過增加極板電扣的數量將圖像覆蓋率提高到60 ;實現了快掃描、傾角兩種測井模式;將測斜短節與預處理短節合二為一,縮短了儀器長度;去除了零伺服控制系統,簡化了電路;用fpga晶元對採集控制器重新設計。Including the testing of the validity of sensor data and the adapting of the q matrix in reai - time, the kalman filter is researched to improve the real - time, precision and robust of navigation system. with this method, the disturbances resulted from the many uncertainties in non - structure agricultural environment can be overcome, the movement of road line can be followed in the image space so that the technology of visual window can be used, the current measured state of wheeled mobile robot can be substituted by the predicted state to increase the real - time of control system
包括傳感器數據有效性檢驗、 q陣自適應實時調整等內容,詳細地研究了利用擴展卡爾曼濾波理論改善導航系統實時性、精確性和可靠性的具體方法,以克服農田非結構化自然環境里存在的多種不確定因素給導航系統造成的干擾,跟蹤圖像空間中路徑目標的運動而便於有效地利用視覺窗口技術,提供輪式機器人狀態的預測值代替實測值進行導航控制來改善控制系統的實時性等Simulation results show that : the two prediction model and the method to detached the epileptic waves by using the wavelet transform is effective. especially, the prediction precision of eeg signal is higher than 10 - 3 using the three - order volterra series filter
數值模擬結果表明,本文所研究的兩個預測模型以及棘波的小波變換檢測方法是很有效的,特別是三階volterra級數濾波器預測模型,它對腦電( eeg )信號的預測精度可以達到10 ~ ( - 3 )數量級。This filter is a combination of adaptive ud decomposition kalman filter with quad method. it use quad method to detect and correct the gross errors in observations, use ud decomposition technique to improve computation precision and overcome the instability of filter caused by instability of values, when divergence of kalman filter had been detected, an adaptive filter is employed to adjust the prediction error covariance matrix
該法用擬準檢定法準確地探測和修正量測方程中存在的粗差;用ud分解演算法改進了計算精度,克服了由於數值不穩定帶來濾波的不穩定性;當判斷濾波器發散后,則啟用sage自適應濾波器,調整預測誤差方差,以克服濾波器的發散。It gives assistance to improve efficiency of the multiple frames accumulation. by analyzing the merits and demerits of several kinds of preprocessing, such as highpass filtering, median filtering, tophat transformation in mathematical morphology and wiener filtering, the local singularity filtering based on improved susan principle has been given, and it has a high power to raise the probability of target detection in single frame
良好的預處理將提高后續的多幀積累的效率,對比常用的幾種預處理演算法,如高通濾波、中值濾波、數學形態學的tophat濾波、維納濾波等方法的優點和不足,提出了一種改進的susan濾波器? ?區域奇異性濾波,該濾波方法對于提高單幀檢測概率有很好的功效。A llmmse filter is designed to reduce noise based on the noise model to improve snr of images. making use of the shape and lightness characters of feature points to detect the feature p oints from images. because the accuracy of feature imaging point ' s centroid has close relationship with measuring accuracy, an algorithm based on iteration of the center of the track window is used to improve the measurement accuracy
圍繞著提高測量精度的要求,分析了影響ccd圖像質量的三類隨機噪聲,建立局部統計特性為高斯分佈的簡化圖像噪聲模型,利用線性最小均方誤差濾波器對圖像進行預處理,而後根據特徵點的亮度和形狀特徵對特徵像點進行檢測,進一步在特徵像點的匹配中採用自適應的質心迭代演算法提高跟蹤精度。In this module, we focus on an improved 2 - d median - filter and a real time edge detect algorithm which has very regular computational structure. in chapter 4, we use fpga to capture the image data from infrared sensor and create the synchronization signal and output the video to monitor. chapter 5 describes the design of communication interface between dsp, fpga and missile control system, and focus on a new verilog description style called cycle accurate, and finally we design an i2c bus using this description style
本論文按照處理機的工作流程,首先討論fpga與視頻探測器之間的數據通訊模塊的設計,接著介紹了圖像預處理模塊,在預處理模塊中,重點介紹了一種改進的二維中值濾波方法和一種特別適于硬體實現的邊緣檢測演算法;在第四章,討論了用fpga實現圖像獲取和模擬視頻輸出;第五章,討論了fpga與dsp之間以及fpga與彈上機之間的通訊模塊的設計,接著重點研究了一種新的verilog語言的描述風格,並用此寫法在上fpga實現對外圍設備的初始化模塊;最後,對本文所做的工作進行了總結。Firstly, the theory and the architecture of hardware system are described, secondly, the steps of the signal processing are discussed in detail. based on the experiments and the characteristics of the signal, we pre - process the signals with band - pass filter, proportional amplifier and coherent demodulator. after sampling and analysis doppler information, we display the final results distinctly to alarm in time
然後,結合系統中各主要部分的任務,詳細介紹了信號處理的各個步驟:通過實驗比較,並結合接收信號的特點,選用帶通濾波器、比例放大器、相干檢波等技術對信號進行預處理;然後對獲得的多卜勒信息進行采樣和頻譜分析;最後,用比較直觀的形式顯示數據結果,以及時準確地告警。This method takes the second generation wavelet transformation as a base, using the interrelation between transformation sample and adjacent sample to detect partial feature of the signal, and according to the magnitude of related coefficient to define the optimal pre detector and re - newer of every sample in every dimension, so as to let the wavelet be able to suit fairly the partial feature of the signal
該方法以第二代小波變換為基礎,用變換樣本與相鄰樣本之間的相關性,來檢測信號的局部特徵,並根據相關系數的大小,來確定每一尺度上的每個樣本的最佳預測器和更新器,使小波能夠較好地適應信號的局部特徵。Because of the influence of the wobble of the sensor and the clutter background, the pretreatment is necessary and also it ’ s the research trend of this dissertation
由於圖像傳感器的抖動和背景雜波的影響,在目標檢測和跟蹤之前有必須實行圖像預處理,這正是本文的研究點。分享友人