residual signal造句
例句與造句
- The faults in the automotive engine control systems can be reliably diagnosed by the proposed method through suitable choice of the threshold for the residual signals of the uifdos
合理選擇殘差信號(hào)的閾值，能夠可靠地診斷汽車(chē)發(fā)動(dòng)機(jī)電控系統(tǒng)負(fù)載不可測(cè)且存在隨機(jī)干擾時(shí)的故障。 - This model is used to generate residual signal by comparing the healthy signal and the signal in the running system . by processing the residual signal , faults from incipient fault to serious fault can be detected effectively
利用這個(gè)模型，通過(guò)比較無(wú)故障信號(hào)和系統(tǒng)實(shí)際產(chǎn)生的信號(hào)，產(chǎn)生一個(gè)殘差信號(hào)，并對(duì)殘差信號(hào)進(jìn)行適當(dāng)處理，就可以對(duì)系統(tǒng)從初始故障到嚴(yán)重故障，進(jìn)行有效地監(jiān)測(cè)。 - In this scheme , the speech residual signal is synthesized directly using magnitude spectrum and phase track where there are continuous changes for pitch between frames , while the speech residual signal is synthesized using phase intergradations with a burst of the pitch
在該方案中,當(dāng)幀間的基音周期連續(xù)變化時(shí),語(yǔ)音殘差信號(hào)由幅度譜和相位軌跡直接合成,而當(dāng)基音周期發(fā)生跳變時(shí),則利用相位過(guò)渡過(guò)程合成語(yǔ)音殘差信號(hào)。 - For multicomponent chirp signals with unbalanced amplitudes , an iterative algorithm combined with the paf is proposed to suppress the error propagation effect and residual signal in the peeling - off procedure . the corresponding time - frequency distribution for unbalanced signals is derived
針對(duì)多分量強(qiáng)弱信號(hào),引入基于逐次減小誤差的迭代算法,導(dǎo)出了能夠減小強(qiáng)弱信號(hào)相互影響的核函數(shù)設(shè)計(jì)方法,從而有效抑制誤差傳播和殘余信號(hào)。 - Then the difference between the output of the trained neural networks and that of the actual system is used as a residual , which detects the sensor fault . the diagnosis can then be performed by further exploiting the information provided from the residual signals according to certain rules introduced in detail in the thesis . simulating results show that the method can isolate any fault of the sensors in any input types and normal work frequencies
仿真結(jié)果表明，基于神經(jīng)網(wǎng)絡(luò)觀測(cè)器的故障診斷方法在系統(tǒng)正常工作頻率范圍之內(nèi)，不受系統(tǒng)輸入類(lèi)型和故障的類(lèi)型的影響，只要故障對(duì)系統(tǒng)的特性發(fā)生影響(系統(tǒng)參數(shù)漂移3 ) ，通過(guò)神經(jīng)網(wǎng)絡(luò)觀測(cè)器的殘差判別函數(shù)可以診斷出故障。 - It's difficult to find residual signal in a sentence. 用residual signal造句挺難的
- The residual signals will be gotten from the comparison between the actual and prediction states . use a som neural networks as a classifier to classify characteristics contained in the residuals . so , we can detect whether the traffic incident has happened . this algorithm can detect not only whether the traffic incident has happened but also the level of accidental congestion caused by the traffic incident the second is another freeway traffic incident detection novel algorithm based on art2 neural networks . this algorithm uses the freeway traffic flow model and art2 neural networks as observer and classifier , respectively . the residual signals will be gotten from the comparison between the actual and estimated value of observer . use the art2 neural networks to classify characteristics contained in the residuals . so . we can detect whether the traffic incident has happened . this algorithm can recognize new pattern at the same ti
第二種是基于ar咒神經(jīng)網(wǎng)絡(luò)的檢測(cè)高速公路交通事件的新算法。該算法利用高速公路交通流模型和artz神經(jīng)網(wǎng)絡(luò)分別作觀測(cè)器和分類(lèi)器，觀測(cè)器估計(jì)的數(shù)據(jù)和實(shí)際交通數(shù)據(jù)進(jìn)行比較，得到殘差序列;利用artz神經(jīng)網(wǎng)絡(luò)對(duì)殘差序列進(jìn)行分類(lèi)，以區(qū)分不同交通狀態(tài)下的交通信息，達(dá)到檢測(cè)交通事件的目的。本算法不但可以識(shí)別已知的交通事件類(lèi)型，還可以識(shí)別未知的或從未出現(xiàn)過(guò)的交通事件類(lèi)型，是一個(gè)可以邊工作、邊學(xué)習(xí)的檢測(cè)系統(tǒng)。 - The adaptation processing includes linear prediction coefficient adaptation and adaptation of quantization step size for residual signals . based on g . 726 , we adopt a huffman coder to make use of probability statistic of bit cascade covering n ( n 1 ) samples generated from adpcm , in order to further reduce the bit rate . ng is lossless entropy coding , the speech quality of our improved algorithm should be same as that of g . 726 standard
我們的研究和改進(jìn)工作包括:研究最優(yōu)非均勻自適應(yīng)量化器,及其自適應(yīng)算法;研究波形預(yù)測(cè)函數(shù),以及函數(shù)零點(diǎn)、極點(diǎn)的自適應(yīng)算法;基于每n ( n 1 )個(gè)樣本所對(duì)應(yīng)符號(hào)的概率統(tǒng)計(jì),對(duì)預(yù)測(cè)殘差量化值再進(jìn)行huffman編碼,進(jìn)一步降低比特率。