Aim: To observe the effect of LPC on the pacemaker current If in ischemic myocardium and if the effect could be reversed by ISO. 目的:观察在缺血条件下,溶血磷脂酰胆碱对心肌起搏离子流的影响以及能否被异丙肾上腺素逆转。
LPC Mel Cepstrum Coefficient ( LPCMCC) which comes from LPC Cepstrum ( LPCC) changed nonlinear by Mel scale according to human auditory characteristics, thus closer to human auditory system. LPC美尔倒频谱系数(LPCMCC)根据人耳听觉特性将LPC倒谱系数(LPCC)用非线性美尔尺度进行变换,从而更接近人耳的听觉系统。
Transformation between LPC and LSF based on Chebyshev algorithm of or relating to or in terms of a parameter. 基于Chebyshev法实现LPC与LSF相互转换属于、关于参数、参量的,或依据参数、参量的。
A recognition method based on gray correlation analysis algorithm is proposed through extracting LPC, characteristic from tank, helicopter and car acoustic. 提出了一种基于灰关联分析的声目标识别算法。
Speech Signal Extraction Method of Pitch Based on CEP and LPC Spectrum 基于CEP和LPC谱提取语音信号基音周期的方法
Hardware Design and Realize of Four-axletree Robot Based on LPC ARM Multi-body System Dynamics Simulation of Crankshaft System in a Four Cylinder In-line Diesel Engine 基于LPCARM的四轴机器人的硬件设计与实现直列四缸柴油机轴系动力学仿真分析
Method of solving LPC coefficients of speech signals 一种语音信号线性预测系数的求解新方法
New pitch detection algorithm based on LPC and normalized cross-correlation 基于线性预测与归一化互相关的基音检测
LPC will operate by modulating the laser beam, without connecting itself to the laser system. 控制器的运作是调制激光束,而不需连接至激光系统。
Protective effect of total flavonoids of epimedium on endothelial cell injury induced by LPC 淫羊藿总黄酮对LPC诱导内皮细胞损伤的保护作用
Firstly we analyze the speech with reversed polarity and present the idea of post-filtering of the LPC residual of these voiced speech frames. 该算法重点研究经典LPC分析后基音激励方向向下的语音,对这种浊音LPC残差进行后滤波以取代预增强的方法使其逼近语音激励。
Voice signal can be obtained by LPCCEP eigenvector, the eigenvector of the voice signal analysis has been widely used. 可以求出语音信号的LPC倒谱特征向量,该特征向量在语音信号分析中得到了广泛的应用。
The LPC from ryegrass have nutritional, healthy and drug-effective value. 黑麦草叶蛋白具有很好的营养、保健和药用价值。
Compared with the LPC and other sounding-encoding systems before, its synthesizing sound has obviously improved in the aspects of intelligibility and natural property. 其合成语音在可懂度和自然度方面,与以往的线性预测(LPC)等语音编码系统相比有了明显的改善。
The GMM was employed to extract LPC as coefficients of targets identification. 建立已知振动目标的GMM,然后实现混叠振动目标自适应盲源分离,提取了振动目标的线性预测系数作为目标识别的参数,产生了训练和识别所用的特征向量。
Frequency method is proposed to process the LPC residual, then the pitch modified LPC residual is got. 提出对LPC残差用频域法来进行处理,得到改变了基音周期的LPC残差,从而实现语音的基音周期的变换。
A new Split Vector Quantizer ( SVQ) of LSF parameters is designed in LPC speech coding. 在LPC语音编码中设计了一种新的LSF参数分裂矢量量化器。
The influence of LPC on the microstructure and corrosion resistance of hot-dipped aluminum was studied. 研究了LPC对热浸渗铝层组织和耐腐蚀性的影响。
Compared with traditional LPC method, it can lower the order. 与传统的LPC谱包络提取法相比,它能降低所用的阶数。
The early TTS system often employs synthesis methods based on parameters, such as formant synthesis or LPC synthesis. 早期的TTS系统多采用参数合成方法,如共振峰合成和LPC参数合成。
Quantization methods of two kinds of LPC vocal tract parameters are studied in this paper. 本文研究了两种LPc声道参数的量化方法。
Compared to classical LPC approach, the experiments prove the superiority of this approach in terms of speech quality. 与经典的LPC方法的对比实验验证了该法在合成语音质量方面的优越性。
The kernel algorithm of the whole system is LPC and DTW. 整个系统采用LPC和DTW作为核心算法。
A novel iterative learning preview control ( LPC) is developed in this paper. 提出了一种学习预见控制。
In speech processing, transformation between LPC and LSF is usually needed. 在语音信号的处理中,常常需要将线性预测的LPC系数与LSF参数相互转换。
This article provides a method of realizing speech synthesis based on LPC, by using resonance peak parameter estimation. 本文基于线性预测技术(LPC),对语音信号的共振峰参数估值,实现语音合成。
Al present, the linear predictive coding ( LPC) is the best method for voice analysis. 线性预测编码(LPC)是当今语音分析中最好的方法。
Then the feature parameters extraction of speaker recognition was studied, especially for the extraction algorithm of LPC, LPCC and MFCC. Besides, the speaker recognition system based on GMM was also studied. 2. 分析了目前常用的话者特征参数提取,重点研究了LPC、LPCC和MFCC特征参数的提取算法,同时也对基于高斯混合模型的说话人识别系统进行了深入研究。
Compared with the LPC parameter, the LSF parameter has the better interpolation characteristic and the quantification characteristic. 相对于LPC参数,LSF具有更好的内插特性和量化特性。
It compares LPC parameters and MFCC parameters. MFCC cepstrum parameters are used to calculate the desired feature parameters. 比较了LPC和MFCC参数特征,并运用了MFCC倒谱特征参数求出系统所需的特征参数。