Amrita Vishwa Vidyapeetham
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BIO103 BIO103 1
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ECE 21
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General microbiology JFA214 6
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MAT 8
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Linear Integrated Circuits (ICs) are electronic circuits that are designed to perform analog functions, such as amplification, filtering, and signal processing, using a combination of active and passive electronic components on a single semiconductor chip. The key characteristic of linear ICs is their ability to process analog signals with high precision and accuracy, without the need for external components. Linear ICs use operational amplifiers (op-amps) as their main building blocks, which...
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Amrita Vishwa Vidyapeetham•ECE
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Linear Integrated Circuits (ICs) are electronic circuits that are designed to perform analog functions, such as amplification, filtering, and signal processing, using a combination of active and passive electronic components on a single semiconductor chip. The key characteristic of linear ICs is their ability to process analog signals with high precision and accuracy, without the need for external components. Linear ICs use operational amplifiers (op-amps) as their main building blocks, which...
Machine learning is a subfield of artificial intelligence that focuses on developing algorithms and models that can learn patterns and make predictions or decisions without being explicitly programmed. The goal of machine learning is to enable machines to learn from data and improve their performance on a given task over time. In machine learning, algorithms are trained on large amounts of data to identify patterns and make predictions or decisions based on that data. There are three main typ...
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Amrita Vishwa Vidyapeetham•19ECE363
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Machine learning is a subfield of artificial intelligence that focuses on developing algorithms and models that can learn patterns and make predictions or decisions without being explicitly programmed. The goal of machine learning is to enable machines to learn from data and improve their performance on a given task over time. In machine learning, algorithms are trained on large amounts of data to identify patterns and make predictions or decisions based on that data. There are three main typ...
Markov chain
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Amrita Vishwa Vidyapeetham•MAT
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Random Process• Bygokulkumarjk07
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Markov chain
Random Process-Statistical Properties
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Amrita Vishwa Vidyapeetham•MAT
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Random Process• Bygokulkumarjk07
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Random Process-Statistical Properties
Power spectral density
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Amrita Vishwa Vidyapeetham•MAT
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Random Process• Bygokulkumarjk07
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Power spectral density
Problems on WSS _ SSS
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Amrita Vishwa Vidyapeetham•MAT
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Random Process• Bygokulkumarjk07
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Problems on WSS _ SSS
Problems on ACF
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Amrita Vishwa Vidyapeetham•MAT
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Random Process• Bygokulkumarjk07
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Problems on ACF
Classes of Random Processes-SSS_WSS
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Amrita Vishwa Vidyapeetham•MAT
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Random Process• Bygokulkumarjk07
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Classes of Random Processes-SSS_WSS
Introduction to Random Processes
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Amrita Vishwa Vidyapeetham•MAT
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Random Process• Bygokulkumarjk07
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Introduction to Random Processes
Auto-Correlation Function
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Amrita Vishwa Vidyapeetham•MAT
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Auto-Correlation Function