剩餘失真 的英文怎麼說
中文拼音 [shèngyúshīzhēn]
剩餘失真
英文
residual distortion-
After like near future arrowroot continent dam flies a shop sign afresh go situation and to the limit of one ' s capacity rises should notice early days goes situation, if be pulled considerably, magnify again quantity, be about vigilance is banker shipment ( this time may be a few longer, banker is sucked prepare time to grow more, shipment time is long ), island visitting extensive region goes situation ( be about in first time to the limit of one ' s capacity first shipment ) if early days is to pass dish of full share, ( at present the individual thinks to have treasure new the sources of energy ) in the to the limit of one ' s capacity when breaking through strong line or resistance line but follow - up, that ability is really true the quantity adds valence to rise dropping is not must to the limit of one ' s capacity, and shrink the volume drops consequence is more serious, because early days banker already gave money, basically be, use odd amount to be bungled again dish, medicinal powder door meet disastrous
如近期葛洲壩重新開牌后的走勢而放量上升要注重前期走勢，假如大幅拉升后再放大量，就要警惕是莊家出貨（這個時間可能比較長一些，莊家吸籌時間越長，出貨時間就長） ，看看寰島走勢（在第一次放量就要先出貨了）假如前期是經過盤整的股票， （目前個人認為有寶新能源）在突破勁線或阻力線時放量就可跟進，那才是真真正正的量增價升下跌不是一定要放量，而縮量下跌後果更嚴重，主要是因為前期莊家已出完貨，利用剩餘數量再砸一下盤，散戶就會損失慘重！Based on fractional sampling method, a new super - exponential iteration decision feedback blind equalization algorithm for severely nonlinear phase distortion channels was proposed
因此針對嚴重頻率衰落和非線性相位失真通道，提出了一種分數采樣的混合盲均衡演算法，並獲得了較快的收斂速度和較小的剩餘均方誤差。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。It can be concluded after analysis that the speech distortion and the residual noise can be approximately regarded as multiplicative noise and additive noise, respectively. thus, we use a parallel model combination ( pmc ) algorithm, which is deployed in model space, to adapt the parameters of speech models to compensate the residual noise, or we use a cepstral mean normalization ( cmn ) algorithm in feature space to compensate both the speech distortion and the residual noise
分析表明，語音失真和剩餘噪聲可近似看作乘性噪聲和加性噪聲，因此可在模型空間利用并行模型合併（ pmc ）演算法通過調整模型參數對剩餘噪聲進行補償，或者在特徵空間利用倒譜均值歸一化（ cmn ）演算法對語音失真和剩餘噪聲同時進行補償。分享友人