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cross rate 第三國外匯牌價。

cross ratio

The method proposed in this thesis do well in solving the problems of multi - damping - ratio - spectra simulation . it is convenient to obtain the pareto optimal solution set of the multi - object question by using implicit parallel genetic algorithms and the method can meet the practical needs for simulating ground motions coinciding with multi - damping - ratio - spectra in seismic design . the crossing rate and variance rate are important parameters of genetic algorithms which affect the rate of convergence , the adapting rate of cross and variation in this paper can auto - adapt and according to stand or fall of current sample , it assures the sample approach to the pareto optimal solution set in fast convergent speed 較好地解決多阻尼比反應譜擬合問題;本文方法通過一次運行就能獲得一組具有集系特性的地震動,在擬合多阻尼比反應譜的人造地震波集系的仿真方面有傳統方法所不能比擬的優勢,產生的人造波或人造波集系可滿足工程抗震設計需要;在遺傳算法中,交叉概率和變異概率是影響收斂速度的重要參數,本文采用的改進自適應交叉概率和變異概率,可以根據當前樣本的好壞程度來自動地選擇適當的交叉概率和變異概率,以保證算法始終以較好的速度向pareto最優解集逼近。

The initial vsd process uses two main characters , the average instantaneous energy and the average instantaneous zero crossing rate ( zcr ) . to make the first recognition for the start and the end , the emphasis of which is to select the appropriate value of the threshold and the length of frame . in the final vsd process , the author compares several characters and confirms the new recognition character 初步分段過程使用了能量和過零率這兩個主要特征進行端點檢測,重點是合理選擇兩個重要參數? ?門限和統計幀長度的取值;在最終分段過程中,筆者首先通過比較幾種特征的識別效果,選擇卡爾曼濾波參數作為再次分段的識別特征,還提出了一種新的識別特征? ?周期性緩變特征,使用這兩個特征分別在子語音段內進行端點檢測。

This dissertation uses genetic algorithm to choose optimum parameters for the widely used pid controllers . in the optimization calculation process , mutation rate , cross rate and parameter range are adaptively changed to accelerate optimization process 本文用遺傳算法優化工程中廣泛使用的pid控制器的參數,采用變參數區間、變交叉變異概率等方法提高計算速度,并對適應值函數進行了改進。

In this article , double threshold , iteration is applied to improve segmentation algorithm based on signal energy , and short - time zero - crossing rate is proposed for the first time to determine the exact boundaries between different components of heart sound 本文通過使用雙門限、迭代等方法,改進了基于信號能量的分段算法,并首次引入短時過零率以更準確地定位分段邊界。

( 2 ) study the character of audio signal . analyze the zero - crossing rate and mfcc . a mean mel coefficients is proposed , it can be used to recognized different audio signal 通過對mfcc系數進行分析,均值mfcc系數作為音頻特征,采用動態時間規整識別算法,能夠對單一音頻進行識別,對已有數據源進行測試,有較高的識別率。

( 3 ) study the segmentation and recognition of audio frequency signal . audio signal can be divided into segments based on zero - crossing rate . ( 4 ) a audio recognition arithmetic based on mfcc is proposed 音頻信號的處理作為項目的一部分,根據要求實現了對單一音頻信號的識別,用vc6 . 0來實現。

Where u . s . dollars are not used to express an exchange rate , the term “ cross rate “ is usually used to express the relative values between two currencies 在美元被用來表示匯率的地方,套匯匯率就被用來表示兩種貨幣間的相對價值