Anil Kasture (36 results)

Condition: New.

Paperback. Condition: Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock.

Taschenbuch. Condition: Neu. Reconfigurable Platform to Design an Adaptive Filter to Denoise ECG | Anil Kasture (u. a.) | Taschenbuch | 100 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330077287 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Improvements in capacity, performance and decrease in cost, FPGAs have become a viable solution for making custom chips and programmable DSP devices. Baseline wander noise removal from Electrocardiogram (ECG) signal is very complex problem. In ECG signal baseline wander noise distorts the low frequency segments. Heart attack related information is retrained from ST segment, so it is very necessary to have a noise free ECG signal. This Research work presents Design and implementation of an architecture for a LMS based Adaptive filter to minimize Baseline wander noise, Power line noise and high frequency EMG noise from (ECG) signal. This architecture is implemented on FPGA using Spartan 3s400pq208-4 board and Xilinx system Generator (XSG) software. The signals under experiment are retrieved from MIT-BIH database and are added with Different noises. Efficient removal of Baseline wander noise, Power line noise and high frequency EMG noise is verified and observations are noted for getting desirable SNR. This research work is carried out by using FPGA for adaptive filter using LMS Algorithm to remove Baseline wander noise, Power line noise and high frequency EMG noise. …

paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condition: Neu. Plate-forme reconfigurable pour la conception d'un filtre adaptatif destiné à débruiter l'ECG | Anil Kasture (u. a.) | Taschenbuch | Französisch | 2024 | Editions Notre Savoir | EAN 9786207173501 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Piattaforma riconfigurabile per la progettazione di un filtro adattivo per il denoising dell'ECG | Anil Kasture (u. a.) | Taschenbuch | Italienisch | 2024 | Edizioni Sapienza | EAN 9786207173518 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Plataforma reconfigurável para a conceção de um filtro adaptativo para a redução do ruído do ECG | Anil Kasture (u. a.) | Taschenbuch | Portugiesisch | 2024 | Edições Nosso Conhecimento | EAN 9786207173587 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: Neu. Rekonfiguriruemaq platforma dlq razrabotki adaptiwnogo fil'tra dlq obescwechiwaniq JeKG | Anil Kasture (u. a.) | Taschenbuch | Russisch | 2024 | Sciencia Scripts | EAN 9786207173570 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: Neu. Rekonfigurierbare Plattform zur Entwicklung eines adaptiven Filters zur Entrauschung von EKGs | Anil Kasture (u. a.) | Taschenbuch | 96 S. | Deutsch | 2024 | Verlag Unser Wissen | EAN 9786207173488 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Improvements in capacity, performance and decrease in cost, FPGAs have become a viable solution for making custom chips and programmable DSP devices. Baseline wander noise removal from Electrocardiogram (ECG) signal is very complex problem. In ECG signal baseline wander noise distorts the low frequency segments. Heart attack related information is retrained from ST segment, so it is very necessary to have a noise free ECG signal. This Research work presents Design and implementation of an architecture for a LMS based Adaptive filter to minimize Baseline wander noise, Power line noise and high frequency EMG noise from (ECG) signal. This architecture is implemented on FPGA using Spartan 3s400pq208-4 board and Xilinx system Generator (XSG) software. The signals under experiment are retrieved from MIT-BIH database and are added with Different noises. Efficient removal of Baseline wander noise, Power line noise and high frequency EMG noise is verified and observations are noted for getting desirable SNR. This research work is carried out by using FPGA for adaptive filter using LMS Algorithm to remove Baseline wander noise, Power line noise and high frequency EMG noise. 100 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bhong VijayMr.Vijay Suresh Bhong received B.E. E&TC from Solapur University,Solapur in 2014. M.E.(VLSI & Embedded System) from Savitribai Phule Pune University Pune in 2016 respectively. Currently Working as Assistant Professor in SV.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 92 pp. Spanisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kasture AnilProf. Anil Kasture obtained his B.E. degree in Electronics and Telecommunication Engineering in the year 2013 from KIT s college of Engineering Kolhapur, M.Tech in Electronics Technology from Department of Technology, Shi.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Improvements in capacity, performance and decrease in cost, FPGAs have become a viable solution for making custom chips and programmable DSP devices. Baseline wander noise removal from Electrocardiogram (ECG) signal is very complex problem. In ECG signal baseline wander noise distorts the low frequency segments. Heart attack related information is retrained from ST segment, so it is very necessary to have a noise free ECG signal. This Research work presents Design and implementation of an architecture for a LMS based Adaptive filter to minimize Baseline wander noise, Power line noise and high frequency EMG noise from (ECG) signal. This architecture is implemented on FPGA using Spartan 3s400pq208-4 board and Xilinx system Generator (XSG) software. The signals under experiment are retrieved from MIT-BIH database and are added with Different noises. Efficient removal of Baseline wander noise, Power line noise and high frequency EMG noise is verified and observations are noted for getting desirable SNR. This research work is carried out by using FPGA for adaptive filter using LMS Algorithm to remove Baseline wander noise, Power line noise and high frequency EMG noise.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Improvements in capacity, performance and decrease in cost, FPGAs have become a viable solution for making custom chips and programmable DSP devices. Baseline wander noise removal from Electrocardiogram (ECG) signal is very complex problem. In ECG signal baseline wander noise distorts the low frequency segments. Heart attack related information is retrained from ST segment, so it is very necessary to have a noise free ECG signal. This Research work presents Design and implementation of an architecture for a LMS based Adaptive filter to minimize Baseline wander noise, Power line noise and high frequency EMG noise from (ECG) signal. This architecture is implemented on FPGA using Spartan 3s400pq208-4 board and Xilinx system Generator (XSG) software. The signals under experiment are retrieved from MIT-BIH database and are added with Different noises. Efficient removal of Baseline wander noise, Power line noise and high frequency EMG noise is verified and observations are noted for getting desirable SNR. This research work is carried out by using FPGA for adaptive filter using LMS Algorithm to remove Baseline wander noise, Power line noise and high frequency EMG noise.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 92 pp. Französisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Gracias a las mejoras en capacidad, rendimiento y reducción de costes, las FPGAs se han convertido en una solución viable para fabricar chips personalizados y dispositivos DSP programables. La eliminación del ruido de fondo de la señal de electrocardiograma (ECG) es un problema muy complejo. En la señal de ECG, el ruido de base distorsiona los segmentos de baja frecuencia. La información relacionada con el ataque al corazón se obtiene a partir del segmento ST, por lo que es muy necesario disponer de una señal de ECG libre de ruido. Este trabajo de investigación presenta el diseño y la implementación de una arquitectura para un filtro adaptativo basado en LMS para minimizar el ruido de la línea de base, el ruido de la línea eléctrica y el ruido EMG de alta frecuencia de la señal (ECG). Esta arquitectura se implementa en FPGA utilizando la placa Spartan 3400pq208-4 y el software Xilinx system Generator (XSG). Las señales experimentales se obtienen de la base de datos MIT-BIH y se les añaden diferentes ruidos. Se ha comprobado la eliminación eficaz del ruido de la línea de base, el ruido de la línea eléctrica y el ruido EMG de alta frecuencia, y se han realizado observaciones para obtener la SNR deseada. Este trabajo de investigación se lleva a cabo mediante el uso de FPGA para el filtro adaptativo utilizando el algoritmo LMS para eliminar el ruido de la línea de base, el ruido de la línea eléctrica y el ruido EMG de alta frecuencia.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Gracias a las mejoras en capacidad, rendimiento y reducción de costes, las FPGAs se han convertido en una solución viable para fabricar chips personalizados y dispositivos DSP programables. La eliminación del ruido de fondo de la señal de electrocardiograma (ECG) es un problema muy complejo. En la señal de ECG, el ruido de base distorsiona los segmentos de baja frecuencia. La información relacionada con el ataque al corazón se obtiene a partir del segmento ST, por lo que es muy necesario disponer de una señal de ECG libre de ruido. Este trabajo de investigación presenta el diseño y la implementación de una arquitectura para un filtro adaptativo basado en LMS para minimizar el ruido de la línea de base, el ruido de la línea eléctrica y el ruido EMG de alta frecuencia de la señal (ECG). Esta arquitectura se implementa en FPGA utilizando la placa Spartan 3400pq208-4 y el software Xilinx system Generator (XSG). Las señales experimentales se obtienen de la base de datos MIT-BIH y se les añaden diferentes ruidos. Se ha comprobado la eliminación eficaz del ruido de la línea de base, el ruido de la línea eléctrica y el ruido EMG de alta frecuencia, y se han realizado observaciones para obtener la SNR deseada. Este trabajo de investigación se lleva a cabo mediante el uso de FPGA para el filtro adaptativo utilizando el algoritmo LMS para eliminar el ruido de la línea de base, el ruido de la línea eléctrica y el ruido EMG de alta frecuencia.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Spanisch.…

Taschenbuch. Condition: Neu. Plataforma reconfigurable para diseñar un filtro adaptativo para denotar ECG | Anil Kasture (u. a.) | Taschenbuch | Spanisch | 2024 | Ediciones Nuestro Conocimiento | EAN 9786207173495 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. …

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Grâce à l'amélioration des capacités et des performances et à la diminution des coûts, les FPGA sont devenus une solution viable pour la fabrication de puces personnalisées et de dispositifs DSP programmables. L'élimination du bruit d'errance de la ligne de base du signal de l'électrocardiogramme (ECG) est un problème très complexe. Dans le signal ECG, le bruit d'errance de la ligne de base déforme les segments de basse fréquence. Les informations relatives aux crises cardiaques sont entraînées à partir du segment ST, il est donc très important d'avoir un signal ECG exempt de bruit. Ce travail de recherche présente la conception et la mise en oeuvre d'une architecture pour un filtre adaptatif basé sur la LMS afin de minimiser le bruit d'errance de la ligne de base, le bruit de la ligne électrique et le bruit EMG à haute fréquence du signal (ECG). Cette architecture est mise en oeuvre sur un FPGA utilisant la carte Spartan 3s400pq208-4 et le logiciel Xilinx system Generator (XSG). Les signaux expérimentés sont extraits de la base de données MIT-BIH et sont additionnés de différents bruits. L'élimination efficace du bruit de la ligne de base, du bruit de la ligne électrique et du bruit EMG à haute fréquence est vérifiée et les observations sont notées pour obtenir le SNR souhaitable.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Grâce à l'amélioration des capacités et des performances et à la diminution des coûts, les FPGA sont devenus une solution viable pour la fabrication de puces personnalisées et de dispositifs DSP programmables. L'élimination du bruit d'errance de la ligne de base du signal de l'électrocardiogramme (ECG) est un problème très complexe. Dans le signal ECG, le bruit d'errance de la ligne de base déforme les segments de basse fréquence. Les informations relatives aux crises cardiaques sont entraînées à partir du segment ST, il est donc très important d'avoir un signal ECG exempt de bruit. Ce travail de recherche présente la conception et la mise en ¿uvre d'une architecture pour un filtre adaptatif basé sur la LMS afin de minimiser le bruit d'errance de la ligne de base, le bruit de la ligne électrique et le bruit EMG à haute fréquence du signal (ECG). Cette architecture est mise en ¿uvre sur un FPGA utilisant la carte Spartan 3s400pq208-4 et le logiciel Xilinx system Generator (XSG). Les signaux expérimentés sont extraits de la base de données MIT-BIH et sont additionnés de différents bruits. L'élimination efficace du bruit de la ligne de base, du bruit de la ligne électrique et du bruit EMG à haute fréquence est vérifiée et les observations sont notées pour obtenir le SNR souhaitable.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Französisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 92 pp. Italienisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 96 pp. Deutsch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 92 pp. Portugiesisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 96 pp. Russisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Grazie ai miglioramenti in termini di capacità, prestazioni e riduzione dei costi, le FPGA sono diventate una soluzione valida per la realizzazione di chip personalizzati e dispositivi DSP programmabili. La rimozione del rumore di fondo dal segnale dell'elettrocardiogramma (ECG) è un problema molto complesso. Nel segnale ECG il rumore della linea di base distorce i segmenti a bassa frequenza. Le informazioni relative all'infarto vengono riqualificate a partire dal segmento ST, quindi è molto necessario avere un segnale ECG privo di rumore. Questo lavoro di ricerca presenta la progettazione e l'implementazione di un'architettura per un filtro adattivo basato su LMS per ridurre al minimo il rumore della linea di base, il rumore della linea elettrica e il rumore EMG ad alta frequenza dal segnale (ECG). Questa architettura è implementata su FPGA utilizzando la scheda Spartan 3s400pq208-4 e il software Xilinx system Generator (XSG). I segnali oggetto dell'esperimento sono stati recuperati dal database MIT-BIH e sono stati addizionati con diversi rumori. È stata verificata l'efficienza della rimozione del rumore di linea di base, del rumore della linea elettrica e del rumore EMG ad alta frequenza e sono state fatte osservazioni per ottenere un SNR desiderabile. Questo lavoro di ricerca è stato realizzato utilizzando FPGA per il filtro adattivo con l'algoritmo LMS per rimuovere il rumore di base, il rumore della linea elettrica e il rumore EMG ad alta frequenza.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Com a melhoria da capacidade, do desempenho e a diminuição do custo, os FPGAs tornaram-se uma solução viável para o fabrico de chips personalizados e dispositivos DSP programáveis. A remoção do ruído de vagueza da linha de base do sinal de eletrocardiograma (ECG) é um problema muito complexo. No sinal de ECG, o ruído de vagueza da linha de base distorce os segmentos de baixa frequência. A informação relacionada com o ataque cardíaco é obtida a partir do segmento ST, pelo que é muito necessário dispor de um sinal de ECG sem ruído. Este trabalho de investigação apresenta a conceção e a implementação de uma arquitetura para um filtro adaptativo baseado em LMS para minimizar o ruído de vagueza da linha de base, o ruído da linha de alimentação e o ruído EMG de alta frequência do sinal (ECG). Esta arquitetura é implementada em FPGA usando a placa Spartan 3s400pq208-4 e o software Xilinx system Generator (XSG). Os sinais experimentais são obtidos a partir da base de dados MIT-BIH e são adicionados com diferentes ruídos. Verifica-se a remoção eficaz do ruído de vagueamento da linha de base, do ruído da linha eléctrica e do ruído EMG de alta frequência e registam-se observações para obter uma SNR desejável. Este trabalho de investigação é efectuado utilizando FPGA para um filtro adaptativo que utiliza o algoritmo LMS para remover o ruído de vagueação da linha de base, o ruído da linha de alimentação e o ruído EMG de alta frequência.…