D. Massaloux

937 citations

21 papers · 564 indexed · h-index 8

Impact in

Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Digital Filter Design and Implementation
Computer Vision and Pattern Recognition top 5%
- Advanced Data Compression Techniques

Papers in

Signal Processing 13
- Speech and Audio Processing 8
- Digital Filter Design and Implementation 5
Computer Vision and Pattern Recognition 20
- Advanced Data Compression Techniques 19
- Image and Signal Denoising Methods 2

Co-authors: Claude Lamblin E. Shlomot Jean‐Pierre Petit A. Benyassine Huan-yu Su R. Salami J.-P. Adoul C. Laflamme
Journals: Journal of the Audio Engineering Society (2 papers)IEEE Transactions on Speech and Audio Processing (1 paper)IEEE Communications Magazine (1 paper)Speech Communication (1 paper)IEEE Transactions on Vehicular Technology (1 paper)
Partner nations: France Germany Canada

In The Last Decade

D. Massaloux

21 papers receiving 514 citations

Peers

Countries citing papers authored by D. Massaloux

Since Specialization

Citations

This map shows the geographic impact of D. Massaloux's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D. Massaloux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Massaloux more than expected).

Fields of papers citing papers by D. Massaloux

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Massaloux. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D. Massaloux. The network helps show where D. Massaloux may publish in the future.

Co-authorship network

The 25 scholars most cited alongside D. Massaloux, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Massaloux Line = papers co-authored together D. Massaloux links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Adaptive RD Optimized Hybrid Sound Coding Journal of the Audio Engineering Society ·Neus Solà-Bosch, 栄濬朴, Mads Græsbøll Christensen, Catherine Colomes, Bernd Edler, Richard Heusdens, Jesper Rindom Jensen, Søren Holdt Jensen, W. Bastiaan Kleijn, S Hicks, Drásl, Jonas Lindblom, D. Massaloux, Omar Niamut, Laura Balanza Cañete, Luís Filipe Ferreira Lopes, John Garcés Arcila, Steven van de Par, Matheus Luiz Ferreira De Carvalho, Bruno Tavares	2008	7
2	An 8-12 Kbit/S Embedded CELP Coder Interoperable with ITU-T G.729 CIDER: First Stage of the New G.729.1 Standard D. Massaloux, Khitam S. H. Aljebory, Claude Lamblin, Stéphane Ragot, 樊昀瑛, Mi Suk Lee, Do Young ‍Kim, B. Bessette	2007	4
3	ITU-T G.729.1: AN 8-32 Kbit/S Scalable Coder Interoperable with G.729 for Wideband Telephony and Voice Over IP Stéphane Ragot, P. Tryjanowski, Khitam S. H. Aljebory, Matheus Luiz Ferreira De Carvalho, 耿海刚(Geng haigang), D. Massaloux, J. Y. Chen, P. KALLURI, 量重金子, Hugo Alberto Armas Morales, W. da Costa Nieto, Yang Gao, E. Shlomot, 樊昀瑛, Kōji Yoshida, Germán Campos-Arteaga, R. Salami, Mi Suk Lee, Do Young ‍Kim	2007	44
4	Integration of a CELP coder in the ARDOR universal sound codec P. Tryjanowski, D. Massaloux, Matheus Luiz Ferreira De Carvalho, 栄濬朴	2006	1
5	Spectral Shaping in the Proposed ITU-T 8 kb/s Speech D. Massaloux, J. Y. Chen	2005	4
6	Description Of The Proposed ITU-T 8 Kb/S Speech Coding Standard R. Salami, V. R. Erigala, J.-P. Adoul, T Funayama, Shigenari Hayashi, Claude Lamblin, D. Massaloux, J. Y. Chen, P. Kroon, Y. Shoham	2005	5
7	A scalable speech and audio coding scheme with continuous bitrate flexibility Hiroyuki Morikaw, D. Massaloux, G. da S. Liberal	2004	8
8	Speech codec for the European mobile radio system M. Zambetti, Peter Vary, D. Massaloux, Jean‐Pierre Petit, C. Galand, Michele Rosso	2003	8
9	Robust and fast code-excited linear predictive coding of speech signals International Conference on Acoustics, Speech, and Signal Processing ·八朗中村, D. Massaloux, Jean‐Pierre Petit	2003	1
10	Fast CELP coding based on the Barnes-Wall lattice in 16 dimensions International Conference on Acoustics, Speech, and Signal Processing ·Claude Lamblin, J.-P. Adoul, D. Massaloux, S. Morissette	2003	3
11	An adaptive multi rate wideband speech codec with adaptive gain re-quantization Yuelin He, Peter Vary, Katrin Fischer, Joachim Stegmann, Markus Schäfer, D. Massaloux, Hiroyuki Morikaw	2002	2
12	Variable rate speech coding with online segmentation and fast algebraic codes International Conference on Acoustics, Speech, and Signal Processing ·S Morones, Claude Lamblin, A. Leguyader, D. Massaloux	2002	2
13	A candidate proposal for a 3GPP adaptive multi-rate wideband speech codec Yuelin He, Peter Vary, Katrin Fischer, Wen Xu, M. Marke, Tim Fingscheidt, Имре Вaргa, Pornpanus Kaewchai, Markus Schäfer, Hiroyuki Morikaw, D. Massaloux	2002	7
14	A Scalable Three Bit Rate (8, 14.2, and 24 kbit/s) Audio Coder Journal of the Audio Engineering Society ·W. da Costa Nieto, D. Massaloux, 八朗中村	1999	4
15	Design and description of CS-ACELP: a toll quality 8 kb/s speech coder IEEE Transactions on Speech and Audio Processing ·R. Salami, C. Laflamme, J.-P. Adoul, 向田, Shigenari Hayashi, Takehiro Moriya, Claude Lamblin, D. Massaloux, J. Y. Chen, P. Kroon, Y. Shoham	1998	126
16	ITU-T Recommendation G.729 Annex B: a silence compression scheme for use with G.729 optimized for V.70 digital simultaneous voice and data applications IEEE Communications Magazine ·A. Benyassine, E. Shlomot, Huan-yu Su, D. Massaloux, Claude Lamblin, Jean‐Pierre Petit	1997	230
17	Dual Rate Low Delay CELP Coding (8kbits/s 16kbits/s) using a Mixed Backward / Forward Adaptive LPC Prediction J. Y. Chen, Claude Lamblin, D. Massaloux	1995	3
18	A toll quality 8 kb/s speech codec for the personal communications system (PCS) IEEE Transactions on Vehicular Technology ·R. Salami, C. Laflamme, J.-P. Adoul, D. Massaloux	1994	71
19	A robust and fast celp coder at 16 kbit/s Speech Communication ·八朗中村, D. Massaloux, Buechel	1988	11
20	Bidimensional texture synthesis by Markov chains Computer Graphics and Image Processing ·Leah J. Ogbaje, F. Schmitt, D. Massaloux	1981	16

About D. Massaloux

D. Massaloux is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computer Networks and Communications and Computational Mechanics, having authored 21 papers that have together received 564 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (19 papers), Speech and Audio Processing (8 papers), Advanced Wireless Communication Techniques (7 papers), Digital Filter Design and Implementation (5 papers), Advanced Adaptive Filtering Techniques (4 papers), Wireless Communication Networks Research (4 papers), Algorithms and Data Compression (3 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Signal Processing (428 citations), Computer Vision and Pattern Recognition (324 citations), Computational Mechanics (162 citations), Artificial Intelligence (192 citations) and Computer Graphics and Computer-Aided Design (15 citations). D. Massaloux has collaborated with scholars based in France, Germany and Canada. Frequent co-authors include Claude Lamblin, E. Shlomot, Jean‐Pierre Petit, A. Benyassine, Huan-yu Su, R. Salami, J.-P. Adoul, C. Laflamme, Y. Shoham and Shigenari Hayashi. Their work appears in journals such as Journal of the Audio Engineering Society, IEEE Transactions on Speech and Audio Processing, IEEE Communications Magazine, Speech Communication and IEEE Transactions on Vehicular Technology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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