- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
A Model for an Interconnected Photovoltaic System using an Off-grid Inverter as a Reference Node in Island Mode
摘要： This paper presents a new feature extraction algorithm called power normalized Cepstral coefficients (PNCC) that is motivated by auditory processing. Major new features of PNCC processing include the use of a power-law nonlinearity that replaces the traditional log nonlinearity used in MFCC coefficients, a noise-suppression algorithm based on asymmetric filtering that suppresses background excitation, and a module that accomplishes temporal masking. We also propose the use of medium-time power analysis in which environmental parameters are estimated over a longer duration than is commonly used for speech, as well as frequency smoothing. Experimental results demonstrate that PNCC processing provides substantial improvements in recognition accuracy compared to MFCC and PLP processing for speech in the presence of various types of additive noise and in reverberant environments, with only slightly greater computational cost than conventional MFCC processing, and without degrading the recognition accuracy that is observed while training and testing using clean speech. PNCC processing also provides better recognition accuracy in noisy environments than techniques such as vector Taylor series (VTS) and the ETSI advanced front end (AFE) while requiring much less computation. We describe an implementation of PNCC using “online processing” that does not require future knowledge of the input.
关键词： modulation filtering,feature extraction,rate-level curve,on-line speech processing,Robust speech recognition,temporal masking,asymmetric filtering,spectral weight smoothing,power function,physiological modeling,medium-time power estimation
更新于2025-09-19 17:13:59
-
A new analytical modeling method for photovoltaic solar cells based on derivative power function
摘要： This paper presents a simple method of optimizing the photovoltaic (PV) generator based on the one diode electrical model. The method consists in solving a second degree equation representing the derivative of the power function. The maximum current and voltage are determined, and the maximum power is deduced. Two popular types of photovoltaic panels constructed with different materials have been considered for the test: the multi-crystalline silicon (Shell S75), and the mono-crystalline silicon (Shell SP70). For various environmental conditions, a comparative study is done between the simulated results and the product manufacturer data. The obtained results prove the efficiency of the proposed method.
关键词： optimizing,power function,photovoltaic generator,model,maximum power
更新于2025-09-12 10:27:22