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APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

應(yīng)用和計(jì)算諧波分析

期刊周期:Bimonthly
研究方向:數(shù)學(xué)
影響因子:2.964
通訊地址:ACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900, SAN DIEGO, USA, CA, 92101-4495
官網(wǎng):http://www.journals.elsevier.com/applied-and-computational-harmonic-analysis/
投稿地址:http://ees.elsevier.com/acha/default.asp?acw=6012
審稿速度:較慢,6-12周

  APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS期刊中文簡介

應(yīng)用和計(jì)算諧波分析(據(jù))是一個(gè)跨學(xué)科期刊發(fā)表高質(zhì)量的論文在數(shù)學(xué)科學(xué)的所有領(lǐng)域相關(guān)諧波分析的應(yīng)用和計(jì)算方面,特別強(qiáng)調(diào)創(chuàng)新理論的發(fā)展,方法和算法,對信息的加工、處理,理解,等等。該雜志的目標(biāo)是編年史的重要出版物,在快速增長的數(shù)據(jù)表示和分析領(lǐng)域,以刺激相關(guān)跨學(xué)科領(lǐng)域的研究,并提供一個(gè)共同的聯(lián)系,在數(shù)學(xué),物理,生命科學(xué)家,以及工程師。應(yīng)用諧波分析和計(jì)算諧波分析涵蓋了最廣泛的意義上的主題,包括但不限于:一、信號(hào)和函數(shù)表示?連續(xù)和離散小波變換?小波幀?小波算法?局部時(shí)頻和時(shí)標(biāo)基函數(shù)?多尺度、多層次的方法?refinable功能二、抽象高維對象的表示?擴(kuò)散小波與幾何?對圖和樹進(jìn)行諧波分析?稀疏數(shù)據(jù)表示?壓縮采樣?壓縮傳感?矩陣完成?隨機(jī)矩陣和投影?數(shù)據(jù)降維?高維積分三世應(yīng)用領(lǐng)域?數(shù)據(jù)壓縮?信號(hào)和圖像處理?學(xué)習(xí)理論和算法?計(jì)算機(jī)輔助幾何設(shè)計(jì)?超大數(shù)據(jù)分析和理解?數(shù)據(jù)恢復(fù)和圖像繪制?數(shù)據(jù)挖掘?高光譜成像?新型傳感器和系統(tǒng)

  APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS期刊英文簡介

Applied and Computational Harmonic Analysis (ACHA) is an interdisciplinary journal that publishes high-quality papers in all areas of mathematical sciences related to the applied and computational aspects of harmonic analysis, with special emphasis on innovative theoretical development, methods, and algorithms, for information processing, manipulation, understanding, and so forth. The objectives of the journal are to chronicle the important publications in the rapidly growing field of data representation and analysis, to stimulate research in relevant interdisciplinary areas, and to provide a common link among mathematical, physical, and life scientists, as well as engineers. Applied and computational harmonic analysis covers, in the broadest sense, topics that include but not limited to:I Signal and Function Representations? continuous and discrete wavelet transform? wavelet frames? wavelet algorithms?local time-frequency and time-scale basis functions? multi-scale and multi-level methods? refinable functionsII Representation of Abstract and High-dimensional Objects ? diffusion wavelets and geometry? harmonic analysis on graphs and trees? sparse data representation? compressive sampling? compressed sensing? matrix completion? random matrices and projections? data dimensionality reduction? high-dimensional integrationIII Application Areas? data compression? signal and image processing? learning theory and algorithms? computer-aided geometric design ? extra large data analysis and understanding? data recovery and image inpainting? data mining? hyperspectral imaging? novel sensors and systems

  APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS近年期刊影響因子趨勢圖

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