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Switel Digitales Funk-Überwachungssystem mit 7 ...
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199,99 € *
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Über den 7 Touchscreen-Monitor können Sie bewegungsgesteuerte und programmierbare Aufnahmen anschauen und auf einer MicroSD Karte speichern. Sie können bis zu 4 Kameras anschließen und gleichzeitig auf dem Monitor ansehen. Audioüberwachung und Gegensprechfunktion Wetterfeste Kamera mit Bewegungserkennung und Nachtsicht HD Auflösung (720 P)2.4 GHz digitale drahtlose Übertragung Unterstützt SD-Karte bis zu 128GB (nicht enthalten) Technische Daten: Kamera: Wetterfest IP54Reichweite bis zu 300 m bei freier Sichtlinie Reichweite Nachtsicht bis zu 12 m Infrarot-LEDs (für Nachtsicht) Automatische ICR-Filterumschaltung gewährleistet optimale Darstellung Bewegungserkennung durch PIR Sensor und Bildverarbeitung Alarmsignal durch Bewegungserkennung Frequenz 2,400 ... 2,483 GHzKamerasensor 1/4 Color CMOS MEG pixel image sensorPIR-Winkel (horizontal) / Reichweite (25 °C) 70° / 6 m Stromversorgung ,2 x Netzteil 230 Volt (Kamera7Monitor)Monitor: Aufnahmeformat: MPEG4 Bewegungsgesteuerte Aufnahme 15/30/60 Sek. programmierbar

Anbieter: westfalia
Stand: 21.01.2020
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EK Water Blocks EK-Momentum MSI Z390 MEG Ace D-...
159,86 € *
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Titel: EK Water Blocks EK-Momentum MSI Z390 MEG Ace D-Rgb - Acryl Titelzusatz: Kombi-Wasserkuehler (Cpu & Vrm) von Ekwb, fuer MSI Z390 MEG Ace Motherboards, mit digital adressierbarer RGB-LED-Beleuchtung, Nickel + Acryl Hersteller: EK Water Blocks Rubrik

Anbieter: Rakuten
Stand: 21.01.2020
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Switel Zusatzkamera für digitales Funk-Überwach...
Unser Tipp
99,99 € *
zzgl. 5,95 € Versand

* Wetterfest IP54 * Reichweite bis zu 300 m bei freier Sichtlinie * Reichweite Nachtsicht bis zu 12 m * Infrarot-LEDs (für Nachtsicht) * Automatische ICR-Filterumschaltung gewährleistet optimale Darstellung * Bewegungserkennung durch PIR Sensor und Bildverarbeitung * Alarmsignal durch Bewegungserkennung * Frequenz 2,400 ... 2,483 GHz * Kamerasensor 1/4 Color CMOS MEG pixel image sensor * PIR-Winkel (horizontal) / Reichweite (25°C) 70° / 6 m * Stromversorgung 9.0 VDC 600 mA

Anbieter: westfalia
Stand: 21.01.2020
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Digital Enhancement of EEG/MEG Signals
48,80 € *
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Electroencephalography (EEG) and Magnetoencephalography (MEG) recordings are commonly used for analyzing the brain. However, in most cases, the recordings not only contain brain waves, but also artifacts of physiological (ocular, muscle, ECG artifacts) or technical (electrode popping, power-line) origins, and noise from different sources. The main aim of the work described in this thesis is the noise reduction and artifact suppression from EEG and MEG signals.Different techniques for artifact suppression have been used: A Low-Pass Filter (LPF), an instantaneous Independent Component Analysis (ICA) algorithm, a combination of ICA and LPF, a combination of ICA and State-Space Modeling (SSM), a combination of ICA and Wiener filters, and a hybrid filter (i.e., a filter that works in the time- and frequency-domains). These techniques have been tested only offline in the present work.Additionally, two artifact suppression methods that could work either offline or in real-time have been tested in real-time. The first one is a recent approach used for signal enhancement, called Empirical Mode Decomposition (EMD). This method is employed in this work for denoising, for detrending, and for suppressing the muscle artifacts from EEG signals. The second method is an algorithm here called Classification-based Signal Enhancement (CBSE). It was also used to suppress muscle artifacts in EEG signals, in real-time, using Wiener filters for signal enhancement.In order to use any artifact suppression technique, the artifacts to be removed have to be previously identified. If the artifact suppression is done offline, the detection can be carried out by visual inspection of the data by an expert, or in an automatic way. On the other hand, if the suppression of artifacts has to be done in real-time, the artifacts have to be detected automatically. A detection technique is proposed in the present work. First, different features are extracted from the independent components, and then a threshold-based classification is performed to determine which components are contaminated, what kind of artifacts they contain, and how the suppression of the artifacts is realized. This method was tested in an offline manner in this thesis.The effectiveness of the proposed artifact suppression techniques was demonstrated by application to either “semi-simulated” EEG signals artificially contaminated with artifacts, or to real EEG/MEG data from a healthy subject or a patient suffering from epilepsy (inherently contaminated with different kinds of artifacts). It is shown by visual inspection and in a quantitative manner that, after applying the different techniques, the EEG/MEG signals are enhanced.To reduce the noise, an equalizer and a Wiener filter have been used. The signals employed for this purpose correspond to those from the newly developed magnetoelectric (ME) sensors at Kiel University.

Anbieter: Dodax
Stand: 21.01.2020
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Digital Enhancement of EEG/MEG Signals
48,80 € *
ggf. zzgl. Versand

Electroencephalography (EEG) and Magnetoencephalography (MEG) recordings are commonly used for analyzing the brain. However, in most cases, the recordings not only contain brain waves, but also artifacts of physiological (ocular, muscle, ECG artifacts) or technical (electrode popping, power-line) origins, and noise from different sources. The main aim of the work described in this thesis is the noise reduction and artifact suppression from EEG and MEG signals.Different techniques for artifact suppression have been used: A Low-Pass Filter (LPF), an instantaneous Independent Component Analysis (ICA) algorithm, a combination of ICA and LPF, a combination of ICA and State-Space Modeling (SSM), a combination of ICA and Wiener filters, and a hybrid filter (i.e., a filter that works in the time- and frequency-domains). These techniques have been tested only offline in the present work.Additionally, two artifact suppression methods that could work either offline or in real-time have been tested in real-time. The first one is a recent approach used for signal enhancement, called Empirical Mode Decomposition (EMD). This method is employed in this work for denoising, for detrending, and for suppressing the muscle artifacts from EEG signals. The second method is an algorithm here called Classification-based Signal Enhancement (CBSE). It was also used to suppress muscle artifacts in EEG signals, in real-time, using Wiener filters for signal enhancement.In order to use any artifact suppression technique, the artifacts to be removed have to be previously identified. If the artifact suppression is done offline, the detection can be carried out by visual inspection of the data by an expert, or in an automatic way. On the other hand, if the suppression of artifacts has to be done in real-time, the artifacts have to be detected automatically. A detection technique is proposed in the present work. First, different features are extracted from the independent components, and then a threshold-based classification is performed to determine which components are contaminated, what kind of artifacts they contain, and how the suppression of the artifacts is realized. This method was tested in an offline manner in this thesis.The effectiveness of the proposed artifact suppression techniques was demonstrated by application to either “semi-simulated” EEG signals artificially contaminated with artifacts, or to real EEG/MEG data from a healthy subject or a patient suffering from epilepsy (inherently contaminated with different kinds of artifacts). It is shown by visual inspection and in a quantitative manner that, after applying the different techniques, the EEG/MEG signals are enhanced.To reduce the noise, an equalizer and a Wiener filter have been used. The signals employed for this purpose correspond to those from the newly developed magnetoelectric (ME) sensors at Kiel University.

Anbieter: Dodax AT
Stand: 21.01.2020
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EK Water Blocks EK-Momentum MSI Z390 MEG Ace D-...
173,69 € *
ggf. zzgl. Versand

Titel: EK Water Blocks EK-Momentum MSI Z390 MEG Ace D-RGB - Acryl, Titelzusatz: Kombi-Wasserkühler (CPU & VRM) von EKWB, für MSI Z390 MEG Ace Motherboards, mit digital adressierbarer RGB-LED-Beleuchtung, Nickel + Acryl, Hersteller: EK Water Blocks, Rubrik: Wasserkühlung // CPU-Kühler, Gewicht: 1000 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 21.01.2020
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EK Water Blocks Momentum MSI Z390 MEG Godlike -...
170,79 € *
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Titel: EK Water Blocks Momentum MSI Z390 MEG Godlike - D-RGB - Acryl, Titelzusatz: Kombi-Wasserkühler (CPU & VRM) von EKWB, für MSI Z390 MEG Godlike Motherboards, mit digital adressierbarer RGB-LED-Beleuchtung, Nickel + Acryl, Hersteller: EK Water Blocks, Rubrik: Wasserkühlung // CPU-Kühler, Gewicht: 1000 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 21.01.2020
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EK Water Blocks Momentum MSI Z390 MEG Godlike -...
170,79 € *
ggf. zzgl. Versand

Titel: EK Water Blocks Momentum MSI Z390 MEG Godlike - D-RGB - Acryl, Titelzusatz: Kombi-Wasserkühler (CPU & VRM) von EKWB, für MSI Z390 MEG Godlike Motherboards, mit digital adressierbarer RGB-LED-Beleuchtung, Nickel + Acryl, Hersteller: EK Water Blocks, Rubrik: Wasserkühlung // CPU-Kühler, Gewicht: 1000 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 21.01.2020
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EK Water Blocks Momentum MSI Z390 MEG Godlike -...
170,79 € *
ggf. zzgl. Versand

Titel: EK Water Blocks Momentum MSI Z390 MEG Godlike - D-RGB - Acryl, Titelzusatz: Kombi-Wasserkühler (CPU & VRM) von EKWB, für MSI Z390 MEG Godlike Motherboards, mit digital adressierbarer RGB-LED-Beleuchtung, Nickel + Acryl, Hersteller: EK Water Blocks, Rubrik: Wasserkühlung // CPU-Kühler, Gewicht: 1000 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 21.01.2020
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EK Water Blocks EK-Momentum MSI Z390 MEG Ace D-...
173,69 € *
ggf. zzgl. Versand

Titel: EK Water Blocks EK-Momentum MSI Z390 MEG Ace D-RGB - Acryl, Titelzusatz: Kombi-Wasserkühler (CPU & VRM) von EKWB, für MSI Z390 MEG Ace Motherboards, mit digital adressierbarer RGB-LED-Beleuchtung, Nickel + Acryl, Hersteller: EK Water Blocks, Rubrik: Wasserkühlung // CPU-Kühler, Gewicht: 1000 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 21.01.2020
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Kate and Leopold
10,19 € *
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Erscheinungsdatum: 12/2002, Produktionsjahr: 2001, Medium: DVD, Titel: Kate and Leopold, Regisseur: Mangold, James, Schauspieler: Ryan, Meg // Jackman, Hugh // Schreiber, Liev, Verlag: WVG Medien GmbH, Sprache: Englisch // Deutsch, Untertitel: Deutsch // Deutsch für Hörgeschädigte // Englisch, Schlagworte: Video // Film // Drama // Liebe, Rubrik: Belletristik // Romane, Erzählungen, Laufzeit: 114 Minuten, Informationen: Kodierungsart: 2. TV-Norm: PAL. Ausgabeformat: 16:9. Aufnahmeformat: 1,78:1. Sprachversion: Deutsch Dolby Digital 5.1, 3/2.01, AC3. Sprachversion: Englisch Dolby Digital 5.1, 3/2.01, AC3 // Kino Trailer, Biographien der Hauptdarsteller, Filmographien der Hauptdarsteller, Interviews: Meg Ryan, Hugh Jackmann, Sting, Liev Schreiber, Breckin Meyer, James Mangold, Natasha Lyonne, Bradley Whitford, Kathy Konrad u.a., B-Roll, Directors Cut Fas, Gewicht: 75 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 21.01.2020
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