剩餘信號 的英文怎麼說
中文拼音 [shèngyúxìnháo]
剩餘信號
英文
residual signal-
Evaluation method of residual intelligibility for analog - voice scramblersriavs
模擬保密話音信號剩餘可懂度估價測試法Signal - to - residual output - power ratio
信號對剩餘輸出功率比剩餘輸出電平The clues and techniques to improve the resolution of data processing are 1 ) removing the affection of near surface factors on data acquisition, including static correction and noise eliminating technique etc, 2 ) broadening the frequency band of pre - stack seismic data, including amplitude compensation and pre - stack deconvolution etc, 3 ) improving s / n ratio of high frequency and weak reflection signals through multiple coverage with high precision velocity analysis, residual static correction and high - order nmo, raising " dead line of high frequency reflection ", and 4 ) identifying post stack effective reflection frequency band, enhancing dominant frequency and so on
主要包括:消除近地表因素對資料採集的影響,包括靜校正和噪音壓制技術等;疊前拓寬地震資料領帶,包括振幅補償和疊前反褶積技術等;藉助高精度速度分析、剩餘靜校正和高次項nmo技術,通過多次覆蓋疊加,消除資料中隨機噪聲干擾、提高資料信噪比,尤其是高頻端反射信息的信噪比,改善高頻反射和弱反射信號信噪比,提高「高頻反射死亡線」 ;疊後有限反射頗帶識別、抬高優勢頻率等。In signal space, speech enhancement is adopted to effectively suppress the noise and increase the discriminative information embedded in noisy speech signal. however, the speech distortion introduced by enhancement, as well as the residual noise, is a very adverse factor for recognition
在信號空間,利用語音增強有效抑制噪聲,提高輸入信號中的鑒別信息,但增強帶來的語音失真和增強后的剩餘噪聲是對語音識別非常不利的因素。The time - domain filter can then be used to select the narrow central portion of the cross correlation function ( ccf ), capturing virtually all of the signal but rejecting most of the noise
對相關函數進行時域濾波,挑選出互相關函數中窄信號自相關函數部分,去掉剩餘的大部分噪聲能量,得到加窗互相關函數( ccf ) 。Based on the effective measured stress signal, the residual working life of the vane under current operating conditions was evaluated using nominal stress method, the reliable results could be acquired
基於處理后的有效實測應變信號,運用名義應力法對該工況下的葉片剩餘工作壽命進行了評估計算,獲得了較為可靠的結果。A new variable step - size cma blind equalization algorithm is introduced to conquer the defects of cma, in which the step size is controlled by the estimation of error signal ' s autocorrelation
摘要提出了一種自適應變步長恆模盲均衡演算法,利用剩餘誤差信號的自相關函數估計值作為控制步長的因子來自適應改變步長的大小,克服了恆模演算法存在的固有缺陷。To signaling with no constant modulus ( such as 16qam ), the switch algorithm is able to achieve less residual mean square error than that of cma
該切換演算法,對于非常數模信號(如16qam等) ,可以獲得比常數模演算法更小的剩餘均方誤差。分享友人