scholarly journals Impulsive spike enhancement on gamelan audio using harmonic percussive separation

2019 ◽  
Vol 9 (3) ◽  
pp. 1700
Author(s):  
Solekhan Solekhan ◽  
Yoyon K. Suprapto ◽  
Wirawan Wirawan
Keyword(s):  
Source Separation ◽  
New Method ◽  
Average Error ◽  
Distance Method ◽  
Audio Quality ◽  
Average Value ◽  
Perceptual Evaluation ◽  
Harmonic Components ◽  
Cosine Distance ◽  
Average Cosine

Impulsive spikes often occur in audio recording of gamelan where most existing methods reduce it. This research offers new method to enhance audio impulsive spike in gamelan music that is able to reduce, eliminate and even strengthen spikes. The process separates audio components into harmonics and percussive components. Percussion component is set to rise or lowered, and the results of the process combined with harmonic components again. This study proposes a new method that allows reducing, eliminating and even amplifying the spike. From the similarity test using the Cosine Distance method, it is seen that spike enhancement through Harmonic Percussive Source Separation (HPSS) has an average Cosine Distance value of 0.0004 or similar to its original, while Mean Square Error (MSE) has an average value of 0.0004 that is very small in average error and also very similar. From the Perceptual Evaluation of Audio Quality (PEAQ) testing with Harmonic Percussive Source Separation (HPSS), it has a better quality with an average Objective Difference Grade (ODG) of -0.24 or Imperceptible.

scholarly journals On Newcomb's method of investigating periodicities and its application to Brückner's weather cycle

1914 ◽  
Vol 90 (619) ◽  
pp. 349-355
Keyword(s):  
Thermal Radiation ◽  
The Other ◽  
New Method ◽  
Critical Examination ◽  
Numerical Work ◽  
Average Value ◽  
Other Hand ◽  
Relationship Of ◽  
The Relationship ◽  
Great Simplicity

During the last few years of his life Prof. Simon Newcomb was keenly interested in the problem of periodicities, and devised a new method for their investigation. This method is explained, and to some extent applied, in a paper entitled "A Search for Fluctuations in the Sun's Thermal Radiation through their Influence on Terrestrial Temperature." The importance of the question justifies a critical examination of the relationship of the older methods to that of Newcomb, and though I do not agree with his contention that his process gives us more than can be obtained from Fourier's analysis, it has the advantage of great simplicity in its numerical work, and should prove useful in a certain, though I am afraid, very limited field. Let f ( t ) represent a function of a variable which we may take to be the time, and let the average value of the function be zero. Newcomb examines the sum of the series f ( t 1 ) f ( t 1 + τ) + f ( t 2 ) f ( t 2 + τ) + f ( t 3 ) f ( t 3 + τ) + ..., where t 1 , t 2 , etc., are definite values of the variable which are taken to lie at equal distances from each other. If the function be periodic so as to repeat itself after an interval τ, the products are all squares and each term is positive. If, on the other hand, the periodic time be 2τ, each product will be negative and the sum itself therefore negative. It is easy to see that if τ be varied continuously the sum of the series passes through maxima and minima, and the maxima will indicated the periodic time, or any of its multiples.

scholarly journals A Single Valued Neutrosophic Inventory Model with Neutrosophic Random Variable

2020 ◽  
pp. 52-63
Author(s):  
M. Mullai*, K. Sangeetha, R. Surya, G. Madhan kumar, R. Jeyabalan ◽  
◽  
◽  
S. Broumi
Keyword(s):  
Random Variables ◽  
Random Variable ◽  
Inventory Model ◽  
Newsvendor Problem ◽  
New Method ◽  
Optimal Sequence ◽  
Average Value ◽  
Proposed Model

This paper presents the problematic period of neutrosophic inventory in an inaccurate and unsafe mixed environment. The purpose of this paper is to present demand as a neutrosophic random variable. For this model, a new method is developed for determining the optimal sequence size in the presence of neutrosophic random variables. Where to get optimality by gradually expressing the average value of integration. The newsvendor problem is used to describe the proposed model.

A New Grade Method on Project Bid Evaluation

2011 ◽  
Vol 243-249 ◽  
pp. 6400-6403
Author(s):  
Hao Liu ◽  
Shu Ying Qu ◽  
Shu Mei Cui ◽  
Fang Wei Zhang
Keyword(s):  
Decision Theory ◽  
Computer Processing ◽  
New Method ◽  
Evaluation Team ◽  
Development Zone ◽  
Average Value ◽  
Grade Method ◽  
Bid Evaluation ◽  
Multiple Attributes ◽  
Excavation Support

In bid evaluation, the regular grade method on the grade items is that the grade message is composed of average value after throwing away the highest and lowest value, which essence is considered that the expert’s weight is zeroed. It is pointed the processing is too simple and unable to deal with all kinds of problems effectively in the match. Basing on numerical statistics, referencing multiple attributes and comprehensive decision theory, a grade method is put forward to empower expert weight. The method according to the results consistence of the expert grade determines the grade weight, then correcting their grade weight to each specific bid, fully using all grade message coming from the bid evaluation team. Its computation is simple and easy to computer processing. So it has larger practical value. Last, the new method is used in bid evaluation on excavation support project located in Wenchang Garden, Yantai Development Zone. It shows the practical value of this method.

Research on Dot Gain Compensation Curve Algorithm Model

2012 ◽  
Vol 200 ◽  
pp. 627-631 ◽  
Author(s):  
Li Li Si ◽  
Feng Xian Sang ◽  
Zhen Liu
Keyword(s):  
New Method ◽  
Average Error ◽  
Dot Gain ◽  
Gain Compensation ◽  
Normal Method ◽  
Compensation Curve

To make the dot gain compensation curve more precise, this paper analyzes the methods already used and then propose a new method. We implement this new method and the old ones respectively through MATLAB, and get their dot gain compensation curves. At the same time, the average error and variance were counted to test their precision. The results show that the new method can apparently improve the precision and reduce the error. The average error of the normal method is 2.96% while it is reduce to 1.56% by the new method.

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