2 Archives - Department Of Physics University of Patras https://physics.upatras.gr/en/semester/2/ School of Natural Sciences Wed, 25 Sep 2024 08:57:17 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 Digital System Design with FPGAs https://physics.upatras.gr/en/pms-courses/digital-system-design-with-fpgas-2/ Wed, 25 Sep 2024 08:57:17 +0000 https://physics.upatras.gr/?post_type=pms-courses&p=7337 FPLDs, CPLDs and FPGAs. The case of Intel’s FPGA s (former altera). Microprocessor systems. Set of commands architectures. Arithmetic for computers. Design of central processing unit. Memory. Input/Output. Design of single processor systems in a programmable circuit. The case of Intel’s Nios II processor. The hardware description language VHDL. Logic circuits design, description and simulation [...]

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  • FPLDs, CPLDs and FPGAs. The case of Intel’s FPGA s (former altera).
  • Microprocessor systems. Set of commands architectures. Arithmetic for computers. Design of central processing unit. Memory. Input/Output.
  • Design of single processor systems in a programmable circuit. The case of Intel’s Nios II processor.
  • The hardware description language VHDL. Logic circuits design, description and simulation of them using VHDL and Intel’s Quartus Prime.
  • Laboratory practice: Design and description using VHDL of very simple central processing unit. Implementation using the Terasic’s DE10-Standard board.

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    ]]>         Statistical Methods in Atmospheric Sciences https://physics.upatras.gr/en/pms-courses/statistical-methods-in-atmospheric-sciences/ Fri, 31 May 2024 16:22:43 +0000 https://physics.upatras.gr/pms-courses/statistical-methods-in-atmospheric-sciences/ Statistics and uncertainties in atmospheric sciences. Probabilities – review. Empirical distributions and exploratory data analysis. Parametric distributions. Hypothesis test. Statistical forecasting.

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  • Statistics and uncertainties in atmospheric sciences.
  • Probabilities – review.
  • Empirical distributions and exploratory data analysis.
  • Parametric distributions.
  • Hypothesis test.
  • Statistical forecasting.

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    ]]>         Atmospheric Simulations https://physics.upatras.gr/en/pms-courses/atmospheric-simulations/ Fri, 31 May 2024 16:16:46 +0000 https://physics.upatras.gr/pms-courses/atmospheric-simulations/ The procedure of modeling Fundamental Equations: conservation of energy, mass and momentum. Coordinate systems – Discretization. Physical parameterizations: boundary layer, clouds, radiation, chemistry Solving methods Validation of atmospheric models Ensemble Forecasting

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  • The procedure of modeling
  • Fundamental Equations: conservation of energy, mass and momentum.
  • Coordinate systems – Discretization.
  • Physical parameterizations: boundary layer, clouds, radiation, chemistry
  • Solving methods
  • Validation of atmospheric models
  • Ensemble Forecasting

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    ]]>         Atmospheric Pollution Management https://physics.upatras.gr/en/pms-courses/atmospheric-pollution-management/ Fri, 31 May 2024 16:15:49 +0000 https://physics.upatras.gr/pms-courses/atmospheric-pollution-management/ Atmosphere. Introduction, Transport times in the atmosphere, sulfur compounds, nitrogen compounds, organic compounds, ozone, atmospheric particulate matter, toxics, standards and regulations. Tropospheric chemistry. Basic photochemical cycle of NO2, NO and O3, Atmospheric chemistry of CO and NOX, formaldehyde chemistry, chemistry of the clean atmosphere, tropospheric ozone, the role of organic compounds and NOx in ozone formation. [...]

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    ]]>     Atmosphere. Introduction, Transport times in the atmosphere, sulfur compounds, nitrogen compounds, organic compounds, ozone, atmospheric particulate matter, toxics, standards and regulations.

    Tropospheric chemistry. Basic photochemical cycle of NO2, NO and O3, Atmospheric chemistry of CO and NOX, formaldehyde chemistry, chemistry of the clean atmosphere, tropospheric ozone, the role of organic compounds and NOx in ozone formation.

    Aqueous-phase chemistry. Water in the atmosphere, absorption of pollutants in clouds, sulfuric acid formation, nitric acid formation.

    Atmospheric particulate matter. Chemical composition and size distribution, thermodynamic principles, water and aerosols, thermodynamics of atmospheric particles, organic components of aerosols, primary and secondary aerosols.

    Wet deposition and acid rain. General principles, collection of gas-phase pollutants by rain, collection of particles by rain, acid deposition, synthesis of processes leading to acid deposition.

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    ]]>         Energy Meteorology https://physics.upatras.gr/en/pms-courses/energy-meteorology/ Fri, 31 May 2024 16:14:44 +0000 https://physics.upatras.gr/pms-courses/energy-meteorology/ Solar Energy Solar Radiation and Atmosphere Semi-empirical and Physical Models using Satellite Data. Databases and Variability of Solar’s Potential. Solar Radiation Forecasting in Various Spatial and Time Scales: Digital Imaging of the Sky Dome, Satellite Data, Weather Forecast Models. Wind Energy Wind Systems Vertical Wind Speed Distribution over a Complex Terrain. Off-shore Wind. Physics of [...]

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    ]]>     Solar Energy

    1. Solar Radiation and Atmosphere
    2. Semi-empirical and Physical Models using Satellite Data.
    3. Databases and Variability of Solar’s Potential.
    4. Solar Radiation Forecasting in Various Spatial and Time Scales: Digital Imaging of the Sky Dome, Satellite Data, Weather Forecast Models.

    Wind Energy

    1. Wind Systems
    2. Vertical Wind Speed Distribution over a Complex Terrain.
    3. Off-shore Wind.
    4. Physics of Wind Farms
    5. State-of-the-Art methods for evaluating the wind potential.

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    ]]>         Speech and Natural Language Processing https://physics.upatras.gr/en/pms-courses/speech-and-natural-language-processing/ Fri, 31 May 2024 16:08:24 +0000 https://physics.upatras.gr/pms-courses/speech-and-natural-language-processing/ Sound modeling. Waveform coding PCM,ADPCM, Delta Modulation, VQ, optimal quantization, Linear prediction, Analog speech coders, Digital speech coders, (LPC, CELP). Homomorphic Speech Processing, Speech synthesis, Speech Recognition, Speaker Recognition, Markov Models, Neural Networks. Digital Speech Processing Hardware (Digital Signal Processing (DSP) chips – TI, AT&T, Motorola and Motorola CVSD and ADPCM chips). State-of-the-Art Speech Coding [...]

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  • Sound modeling. Waveform coding PCM,ADPCM, Delta Modulation, VQ, optimal quantization, Linear prediction, Analog speech coders, Digital speech coders, (LPC, CELP).
  • Homomorphic Speech Processing, Speech synthesis, Speech Recognition, Speaker Recognition, Markov Models, Neural Networks.
  • Digital Speech Processing Hardware (Digital Signal Processing (DSP) chips – TI, AT&T, Motorola and Motorola CVSD and ADPCM chips). State-of-the-Art Speech Coding Standards. Speech Transformation

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    ]]>         Intelligent Data Analysis and Pattern Recognition https://physics.upatras.gr/en/pms-courses/intelligent-data-analysis-and-pattern-recognition-2/ Fri, 31 May 2024 15:57:47 +0000 https://physics.upatras.gr/pms-courses/intelligent-data-analysis-and-pattern-recognition-2/ Basic principles of classic classification theory (Bayes). Probability ratio as criterion in population distinction. Use of the theory in standard (Gaussian) deviate populations. Mahalanobis Distance: Separation of the feature space according to the population statistics and the correlation of the features. Correlation of population features: Degree of correlation. Feature quality. Dimensionality of a classification problem. [...]

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  • Basic principles of classic classification theory (Bayes). Probability ratio as criterion in population distinction. Use of the theory in standard (Gaussian) deviate populations.
  • Mahalanobis Distance: Separation of the feature space according to the population statistics and the correlation of the features.
  • Correlation of population features: Degree of correlation. Feature quality. Dimensionality of a classification problem. Dimensionality reduction and important dimensions.
  • Artificial Neural Networks: Problems that they can solve. Neural networks simple structures.
  • Parameters Estimation. Calculation of the distribution of dependent random variables:
  • Mathematical Morphology
  • Signal detection theory: Basic concepts. Neyman-Pearson criterion. Constant false alarm rate (CFAR) detector.
  • Information synthesis, into simple data, into features and into decisions.
  • Remote sensing
  • Examples of remoting-sensing information synthesis.
  • Decision synthesis.
  • Oversampling – Noise shaping – ΣΔ coders

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    ]]>         Digital Telecommunications https://physics.upatras.gr/en/pms-courses/digital-telecommunications/ Fri, 31 May 2024 15:54:41 +0000 https://physics.upatras.gr/pms-courses/digital-telecommunications/ A. Digital Communications Introduction to Telecommunication Systems and Stochastic Processes. Information Theory and Digital Transmission, Channel Bandwidth. Baseband transmission at AWGN channel. Digital Modulations and Constellations (ASK, PSK, FSK, QPSK, QAM), Geometrical representation of signals. Bandpass Transmission and Linear Compensators, Analytic Signals, Bandpass – Lowpass Signal Transform, Iridium Satellite Interception (ISI), Nyquist Waveforms. Optimum Receiver, [...]

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    ]]>     A. Digital Communications

    1. Introduction to Telecommunication Systems and Stochastic Processes.
    2. Information Theory and Digital Transmission, Channel Bandwidth.
    3. Baseband transmission at AWGN channel.
    4. Digital Modulations and Constellations (ASK, PSK, FSK, QPSK, QAM), Geometrical representation of signals.
    5. Bandpass Transmission and Linear Compensators, Analytic Signals, Bandpass – Lowpass Signal Transform, Iridium Satellite Interception (ISI), Nyquist Waveforms.
    6. Optimum Receiver, Maximum Likelihood Detector, Error Probability.
    7. Spread-Spectrum Systems, Pseudo-random Noise (PN) sequences, Orthogonal Frequency-Division Multiplexing (OFDM) Systems.

    B. Wireless Communications

    1. Electromagnetism – Foundation of digital communications. Introduction to digital communication systems. Overview of analog and digital mobile telephony.
    2. State-of-the-Art wireless networks, Wireless backhaul, Small cells, 5G: Smart World, Internet-of-Things (IoT) and Digital Communications.
    3. Arising wireless technologies and digital communication protocols. Broadband and Digital Communications: Definition and requirements of network design and physical layer. Broadband examples in digital communications

    Arising digital communications: 5G-over-microwave, IoT: Industry 4.0 & Digital/Smart Health.

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    ]]>         Biomedical Signals and Images https://physics.upatras.gr/en/pms-courses/biomedical-signals-and-images/ Fri, 31 May 2024 08:35:23 +0000 https://physics.upatras.gr/pms-courses/biomedical-signals-and-images/ Recording systems (analog and digital) of biomedical signals and images. Image formation and processing. Signal and Image quality features. Transfer feautures of imaging systems X-Ray imaging. X-Ray Digital Imaging. Mammography. Fluoroscopy. Computed Fluoroscopy, Tomography, Imaging with Radioisotopes, Ultrasounds, Magnetic Resonance Imaging (MRI), MRI Spectroscopy. Perception and interpretation of images Imaging of Electrical behavior of tissues. [...]

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  • Recording systems (analog and digital) of biomedical signals and images. Image formation and processing. Signal and Image quality features. Transfer feautures of imaging systems
  • X-Ray imaging. X-Ray Digital Imaging. Mammography. Fluoroscopy. Computed Fluoroscopy, Tomography, Imaging with Radioisotopes, Ultrasounds, Magnetic Resonance Imaging (MRI), MRI Spectroscopy.
  • Perception and interpretation of images
  • Imaging of Electrical behavior of tissues. EKG, EEG.
  • Control and Quality Assurance of Biomedical Imaging Systems.

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    ]]>         Telecommunication VLSI Circuits https://physics.upatras.gr/en/pms-courses/telecommunication-vlsi-circuits/ Fri, 31 May 2024 08:30:55 +0000 https://physics.upatras.gr/pms-courses/telecommunication-vlsi-circuits/ Electronic noise Matching networks for RF applications. Circuits linearity. Basic topologies of receivers and specifications of receiver. Introduction to phase locked loop (PLL).

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  • Electronic noise
  • Matching networks for RF applications.
  • Circuits linearity.
  • Basic topologies of receivers and specifications of receiver.
  • Introduction to phase locked loop (PLL).

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