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|a 9780387229799
|9 978-0-387-22979-9
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|a 10.1007/b100283
|2 doi
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|a 621.382
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|a DSP for In-Vehicle and Mobile Systems
|h [electronic resource] /
|c edited by Huseyin Abut, John Hansen, Kazuya Takeda.
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|a 1st ed. 2005.
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|a New York, NY :
|b Springer US :
|b Imprint: Springer,
|c 2005.
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|a XV, 313 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a text file
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|a Construction and Analysis of a Multi-Layered In-car Spoken Dialogue Corpus -- CU-Move: Advanced In-Vehicle Speech Systems for Route Navigation -- A Spoken Dialog Corpus for Car Telematics Services -- Experiences of Multi-Speaker Dialogue System for Vehicular Information Retrieval -- Robust Dialog Management Architecture Using VoiceXML for Car Telematics Systems -- Use of Multiple Speech Recognition Units in an In-car Assistance System -- Hi-Speed Error Correcting Code LSI for Mobile Phone -- Modified Cerebellar Model Articulation Controller (MCMAC) as an Amplitude Spectral Estimator for Speech Enhancement -- Noise Robust Speech Recognition Using Prosodic Information -- Reduction of Diffuse Noise in Mobile and Vehicular Applications -- Speech Enhancement Based on F-Norm Constrained Truncated SVD Algorithm -- Verbkey - A Single-Chip Speech Control for the Automobile Environment -- Real-Time Transmission of H.264 Video over 802.11B-Based Wireless ad hoc Networks -- DWT Image Compression for Mobile Communication -- Link-Adaptive Variable Bit-Rate Speech Transmission over 802.11 Wireless LANs -- Joint Audio-Video Processing for Robust Biometric Speaker Identification in Car -- Is Our Driving Behavior Unique? -- Robust ASR inside a Vehicle Using Blind Probabilistic Based Under-Determined Convolutive Mixture Separation Technique -- In-car Speech Recognition Using Distributed Microphones.
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|a DSP for In-Vehicle and Mobile Systems is focused on digital signal processing strategies for improving information access, command and control, and communications for in-vehicle environments. It is expected that the next generation of human-to-vehicle interfaces will incorporate speech, video/image, and wireless communication modalities to provide more comfortable and safer driving ambiance. It is also expected that vehicles will become "smarter" and provide a level of wireless information sharing of resources regarding road, weather, traffic, and other information that drivers may need immediately or request at a later time while driving on the road. The format of this work centers on three themes: in-vehicle corpora, speech recognition/dialog systems with emphasis on car environments, and digital signal processing for mobile platforms involving noise suppression, image/video processing, and alternative communication scenarios that can be employed for in-vehicle applications. DSP for In-Vehicle and Mobile Systems is appropriate for researchers and professionals working in signal processing technologies, next generation vehicle design and networked-communications.
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|a Signal processing.
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|a User interfaces (Computer systems).
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|a Human-computer interaction.
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|a Telecommunication.
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|a Signal, Speech and Image Processing .
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|a User Interfaces and Human Computer Interaction.
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650 |
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|a Communications Engineering, Networks.
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700 |
1 |
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|a Abut, Huseyin.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Hansen, John.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Takeda, Kazuya.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
0 |
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|t Springer Nature eBook
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776 |
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8 |
|i Printed edition:
|z 9780387502182
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776 |
0 |
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|i Printed edition:
|z 9781489973900
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776 |
0 |
8 |
|i Printed edition:
|z 9780387229782
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856 |
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|u https://doi.uam.elogim.com/10.1007/b100283
|z Texto Completo
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912 |
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|a ZDB-2-ENG
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912 |
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|a ZDB-2-SXE
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950 |
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|a Engineering (SpringerNature-11647)
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950 |
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|a Engineering (R0) (SpringerNature-43712)
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