DSP for In-Vehicle and Mobile Systems

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,...

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Egile nagusia: Abut, Hüseyin, 1945-
Beste egile batzuk: Abut, Huseyin (Argitalpenaren zuzendaria), Hansen, John (Argitalpenaren zuzendaria), Takeda, Kazuya (Argitalpenaren zuzendaria)
Formatua: Livre numérique
Hizkuntza:Anglais
Argitaratua: New York, NY : Springer US 2005.
Cham : Springer Nature
Sarrera elektronikoa:Accès sur la plateforme de l'éditeur
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Accès Université d'Orléans
Accès INSA CVL
Oharra: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• DSP for In-Vehicle and Mobile Systems, Texte imprimé, 9780387229782
• DSP for In-Vehicle and Mobile Systems, Texte imprimé, 9780387502182
• DSP for In-Vehicle and Mobile Systems, Texte imprimé, 9781489973900
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100 1 |a Abut, Hüseyin,  |d 1945- 
245 1 0 |a DSP for In-Vehicle and Mobile Systems   |c edited by Hüseyin Abut, John H.L. Hansen, Kazuya Takeda. 
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260 |a Cham :  |b Springer Nature,  |c 2005. 
500 |a Archives Springer e-books (Licence nationale) 
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505 0 |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. 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
506 |a Accès soumis à abonnement pour tout autre établissement 
506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |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. 
700 1 |a Abut, Huseyin.  |4 pbd 
700 1 |a Hansen, John.  |4 pbd 
700 1 |a Takeda, Kazuya.  |4 pbd 
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776 0 |t DSP for In-Vehicle and Mobile Systems  |b Texte imprimé  |z 9781489973900 
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856 4 |5 452349901:748049894  |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/b100283  |z Accès Université d'Orléans 
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