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Advanced CMOS Integrated Circuit Design and Application
| Advanced CMOS Integrated Circuit Design and Application |
| Autore | Yang Jong-Ryul |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (198 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
spin memristor
mask operation memristor switch memristor crossbar image processing CMOS voltage-controlled oscillator switched-biasing flicker noise phase noise current source figure-of-merit pixel-level ADC current-input ADC readout circuit microbolometer high SNR wide dynamic range current-reuse injection-locked frequency divider radar sensor wideband RF receiver blocker second-order intermodulation (IM2) orthogonal frequency division modulation (OFDM) MedRadio medical implanted communication service (MICS) biomedical device biosensors LC-VCO current-shaping 90 nm current tail varactor LC tank on-wafer vibration energy harvester power management circuit CMOS rectifier dynamic threshold cancellation technique high power conversion efficiency CMOS circuit analog system signal processing learning algorithm artificial neural network freeware open science analog microelectronics design long channel transistors short channel transistors integrated circuit design CMOS design VLSI higher education educational innovation integrated circuit layout complex thinking CMOS detector concurrent-mode differential detector IC imaging SNR integrated folded-dipole antenna sub-terahertz imaging voltage responsivity |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566458003321 |
Yang Jong-Ryul
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Memristors for Neuromorphic Circuits and Artificial Intelligence Applications
| Memristors for Neuromorphic Circuits and Artificial Intelligence Applications |
| Autore | Suñé Jordi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (244 p.) |
| Soggetto non controllato |
graphene oxide
artificial neural network simulation neural networks STDP neuromorphics spiking neural network artificial intelligence hierarchical temporal memory synaptic weight optimization transistor-like devices multiscale modeling memristor crossbar spike-timing-dependent plasticity memristor-CMOS hybrid circuit pavlov wire resistance AI neocortex synapse character recognition resistive switching electronic synapses defect-tolerant spatial pooling emulator compact model deep learning networks artificial synapse circuit design memristors neuromorphic engineering memristive devices OxRAM neural network hardware sensory and hippocampal responses neuromorphic hardware boost-factor adjustment RRAM variability Flash memories neuromorphic reinforcement learning laser memristor hardware-based deep learning ICs temporal pooling self-organization maps crossbar array pattern recognition strongly correlated oxides vertical RRAM autocovariance neuromorphic computing synaptic device cortical neurons time series modeling spiking neural networks neuromorphic systems synaptic plasticity |
| ISBN | 3-03928-577-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404090703321 |
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Suñé Jordi
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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