2015 IEEE 25th International Workshop on Machine Learning for Signal Processing : 17-20 September 2015, Boston, MA, USA / / sponsored by IEEE Computer Society |
Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2015 |
Descrizione fisica | 1 online resource (79 pages) |
Disciplina | 006.31 |
Soggetto topico |
Signal processing - Digital techniques - Data processing
Machine learning |
ISBN | 1-4673-7454-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910135164003321 |
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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2015 IEEE 25th International Workshop on Machine Learning for Signal Processing : 17-20 September 2015, Boston, MA, USA / / sponsored by IEEE Computer Society |
Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2015 |
Descrizione fisica | 1 online resource (79 pages) |
Disciplina | 006.31 |
Soggetto topico |
Signal processing - Digital techniques - Data processing
Machine learning |
ISBN | 1-4673-7454-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996280309003316 |
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2015 | ||
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Lo trovi qui: Univ. di Salerno | ||
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2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP) : 13-16 October 2019, Pittsburgh, PA USA / / Institute of Electrical and Electronics Engineers |
Pubbl/distr/stampa | Pistacaway, New Jersey : , : IEEE, , [2019] |
Descrizione fisica | 1 online resource : illustrations |
Disciplina | 006.31 |
Soggetto topico |
Machine learning
Signal processing - Digital techniques - Data processing |
ISBN | 1-7281-0824-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing |
Record Nr. | UNINA-9910389509303321 |
Pistacaway, New Jersey : , : IEEE, , [2019] | ||
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Lo trovi qui: Univ. Federico II | ||
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2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP) : 13-16 October 2019, Pittsburgh, PA USA / / Institute of Electrical and Electronics Engineers |
Pubbl/distr/stampa | Pistacaway, New Jersey : , : IEEE, , [2019] |
Descrizione fisica | 1 online resource : illustrations |
Disciplina | 006.31 |
Soggetto topico |
Machine learning
Signal processing - Digital techniques - Data processing |
ISBN | 1-7281-0824-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing |
Record Nr. | UNISA-996574593903316 |
Pistacaway, New Jersey : , : IEEE, , [2019] | ||
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Lo trovi qui: Univ. di Salerno | ||
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Advances in intelligent signal processing and data mining : theory and applications / / Petia Georgieva, Lyudmila Mihaylova, and Lakhmi C. Jain (eds.) |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2013 |
Descrizione fisica | 1 online resource (XIV, 354 p.) |
Disciplina | 621.382/2 |
Altri autori (Persone) |
GeorgievaPetya
MihaylovaLyudmila JainL. C |
Collana | Studies in computational intelligence |
Soggetto topico |
Signal processing - Digital techniques - Data processing
Data mining |
ISBN | 3-642-28696-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | From the content: Introduction to Intelligent Signal Processing and Data Mining -- Monte Carlo-Based Bayesian Group Object Tracking and Causal Reasoning -- A Sequential Monte Carlo Method for Multi-Target Tracking with the Intensity Filter -- Sequential Monte Carlo Methods for Localisation inWireless Networks -- A Sequential Monte Carlo Approach for Brain Source Localization. |
Record Nr. | UNINA-9910437924203321 |
Berlin ; ; New York, : Springer, c2013 | ||
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Lo trovi qui: Univ. Federico II | ||
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An analytic description of a harmonic decomposition technique for correcting signal errors due to wideband radar phase detector [[electronic resource] /] / Thomas J. Pizzillo and Jerry Silvious |
Autore | Pizzillo Thomas J |
Pubbl/distr/stampa | Adelphi, MD : , : Army Research Laboratory, , [2000] |
Descrizione fisica | 1 online resource (iii, 13 pages) : illustrations |
Altri autori (Persone) | SilviousJerry |
Collana | ARL-TR |
Soggetto topico |
Coherent radar
Signal processing - Digital techniques - Data processing |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910699695303321 |
Pizzillo Thomas J
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Adelphi, MD : , : Army Research Laboratory, , [2000] | ||
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Lo trovi qui: Univ. Federico II | ||
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Digital signal and image processing using Matlab [[electronic resource] /] / Gérard Blanchet, Maurice Charbit |
Autore | Blanchet Gerard |
Edizione | [1st edition] |
Pubbl/distr/stampa | London ; ; Newport Beach, CA, : ISTE Ltd., c2006 |
Descrizione fisica | 1 online resource (765 p.) |
Disciplina |
621.382/2
621.3822 |
Altri autori (Persone) | CharbitMaurice |
Collana | Digital signal and image processing series |
Soggetto topico | Signal processing - Digital techniques - Data processing |
Soggetto genere / forma | Electronic books. |
ISBN |
0-470-61238-X
1-280-51059-5 9786610510597 1-84704-463-8 0-470-39452-8 1-84704-563-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Digital Signal and Image Processing using MATLAB; Contents; Preface; Notations and Abbreviations; Introduction to MATLAB; 1 Variables; 1.1 Vectors and matrices; 1.2 Arrays; 1.3 Cells and structures; 2 Operations and functions; 2.1 Matrix operations; 2.2 Pointwise operations; 2.3 Constants and initialization; 2.4 Predefined matrices; 2.5 Mathematical functions; 2.6 Matrix functions; 2.7 Other useful functions; 2.8 Logical operators on boolean variables; 2.9 Program loops; 3 Graphically displaying results; 4 Converting numbers to character strings; 5 Input/output; 6 Program writing
Part I Deterministic SignalsChapter 1 Signal Fundamentals; 1.1 The concept of signal; 1.1.1 A few signals; 1.1.2 Spectral representation of signals; 1.2 The Concept of system; 1.3 Summary; Chapter 2 Discrete Time Signals and Sampling; 2.1 The sampling theorem; 2.1.1 Perfect reconstruction; 2.1.2 Digital-to-analog conversion; 2.2 Plotting a signal as a function of time; 2.3 Spectral representation; 2.3.1 Discrete-time Fourier transform (DTFT); 2.3.2 Discrete Fourier transform (DFT); 2.4 Fast Fourier transform; Chapter 3 Spectral Observation; 3.1 Spectral accuracy and resolution 3.1.1 Observation of a complex exponential3.1.2 Plotting accuracy of the DTFT; 3.1.3 Frequency resolution; 3.1.4 Effects of windowing on the resolution; 3.2 Short term Fourier transform; 3.3 Summing up; 3.4 Application examples and exercises; 3.4.1 Amplitude modulations; 3.4.2 Frequency modulation; Chapter 4 Linear Filters; 4.1 Definitions and properties; 4.2 The z-transform; 4.2.1 Definition and properties; 4.2.2 A few examples; 4.3 Transforms and linear filtering; 4.4 Difference equations and rational TF filters; 4.4.1 Stability considerations; 4.4.2 FIR and IIR filters 4.4.3 Causal solution and initial conditions4.4.4 Calculating the responses; 4.4.5 Stability and the Jury test; 4.5 Connection between gain and poles/zeros; 4.6 Minimum phase filters; 4.7 Filter design methods; 4.7.1 Going from the continuous-time filter to the discretetime filter; 4.7.2 FIR filter design using the window method; 4.7.3 IIR filter design; 4.8 Oversampling and undersampling; 4.8.1 Oversampling; 4.8.2 Undersampling; Chapter 5 Filter Implementation; 5.1 Filter implementation; 5.1.1 Examples of filter structures; 5.1.2 Distributing the calculation load in an FIR filter 5.1.3 FIR block filtering5.1.4 FFT filtering; 5.2 Filter banks; 5.2.1 Decimation and expansion; 5.2.2 Filter banks; Chapter 6 An Introduction to Image Processing; 6.1 Introduction; 6.1.1 Image display, color palette; 6.1.2 Importing images; 6.1.3 Arithmetical and logical operations; 6.2 Geometric transformations of an image; 6.2.1 The typical transformations; 6.2.2 Aligning images; 6.3 Frequential content of an image; 6.4 Linear filtering; 6.5 Other operations on images; 6.5.1 Undersampling; 6.5.2 Oversampling; 6.5.3 Contour detection; 6.5.4 Median filtering; 6.5.5 Maximum enhancement 6.5.6 Image binarization |
Record Nr. | UNINA-9910146252003321 |
Blanchet Gerard
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London ; ; Newport Beach, CA, : ISTE Ltd., c2006 | ||
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Lo trovi qui: Univ. Federico II | ||
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Digital signal and image processing using Matlab [[electronic resource] /] / Gérard Blanchet, Maurice Charbit |
Autore | Blanchet Gerard |
Edizione | [1st edition] |
Pubbl/distr/stampa | London ; ; Newport Beach, CA, : ISTE Ltd., c2006 |
Descrizione fisica | 1 online resource (765 p.) |
Disciplina |
621.382/2
621.3822 |
Altri autori (Persone) | CharbitMaurice |
Collana | Digital signal and image processing series |
Soggetto topico | Signal processing - Digital techniques - Data processing |
ISBN |
0-470-61238-X
1-280-51059-5 9786610510597 1-84704-463-8 0-470-39452-8 1-84704-563-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Digital Signal and Image Processing using MATLAB; Contents; Preface; Notations and Abbreviations; Introduction to MATLAB; 1 Variables; 1.1 Vectors and matrices; 1.2 Arrays; 1.3 Cells and structures; 2 Operations and functions; 2.1 Matrix operations; 2.2 Pointwise operations; 2.3 Constants and initialization; 2.4 Predefined matrices; 2.5 Mathematical functions; 2.6 Matrix functions; 2.7 Other useful functions; 2.8 Logical operators on boolean variables; 2.9 Program loops; 3 Graphically displaying results; 4 Converting numbers to character strings; 5 Input/output; 6 Program writing
Part I Deterministic SignalsChapter 1 Signal Fundamentals; 1.1 The concept of signal; 1.1.1 A few signals; 1.1.2 Spectral representation of signals; 1.2 The Concept of system; 1.3 Summary; Chapter 2 Discrete Time Signals and Sampling; 2.1 The sampling theorem; 2.1.1 Perfect reconstruction; 2.1.2 Digital-to-analog conversion; 2.2 Plotting a signal as a function of time; 2.3 Spectral representation; 2.3.1 Discrete-time Fourier transform (DTFT); 2.3.2 Discrete Fourier transform (DFT); 2.4 Fast Fourier transform; Chapter 3 Spectral Observation; 3.1 Spectral accuracy and resolution 3.1.1 Observation of a complex exponential3.1.2 Plotting accuracy of the DTFT; 3.1.3 Frequency resolution; 3.1.4 Effects of windowing on the resolution; 3.2 Short term Fourier transform; 3.3 Summing up; 3.4 Application examples and exercises; 3.4.1 Amplitude modulations; 3.4.2 Frequency modulation; Chapter 4 Linear Filters; 4.1 Definitions and properties; 4.2 The z-transform; 4.2.1 Definition and properties; 4.2.2 A few examples; 4.3 Transforms and linear filtering; 4.4 Difference equations and rational TF filters; 4.4.1 Stability considerations; 4.4.2 FIR and IIR filters 4.4.3 Causal solution and initial conditions4.4.4 Calculating the responses; 4.4.5 Stability and the Jury test; 4.5 Connection between gain and poles/zeros; 4.6 Minimum phase filters; 4.7 Filter design methods; 4.7.1 Going from the continuous-time filter to the discretetime filter; 4.7.2 FIR filter design using the window method; 4.7.3 IIR filter design; 4.8 Oversampling and undersampling; 4.8.1 Oversampling; 4.8.2 Undersampling; Chapter 5 Filter Implementation; 5.1 Filter implementation; 5.1.1 Examples of filter structures; 5.1.2 Distributing the calculation load in an FIR filter 5.1.3 FIR block filtering5.1.4 FFT filtering; 5.2 Filter banks; 5.2.1 Decimation and expansion; 5.2.2 Filter banks; Chapter 6 An Introduction to Image Processing; 6.1 Introduction; 6.1.1 Image display, color palette; 6.1.2 Importing images; 6.1.3 Arithmetical and logical operations; 6.2 Geometric transformations of an image; 6.2.1 The typical transformations; 6.2.2 Aligning images; 6.3 Frequential content of an image; 6.4 Linear filtering; 6.5 Other operations on images; 6.5.1 Undersampling; 6.5.2 Oversampling; 6.5.3 Contour detection; 6.5.4 Median filtering; 6.5.5 Maximum enhancement 6.5.6 Image binarization |
Record Nr. | UNISA-996207979703316 |
Blanchet Gerard
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London ; ; Newport Beach, CA, : ISTE Ltd., c2006 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Digital signal and image processing using Matlab [[electronic resource] /] / Gérard Blanchet, Maurice Charbit |
Autore | Blanchet Gerard |
Edizione | [1st edition] |
Pubbl/distr/stampa | London ; ; Newport Beach, CA, : ISTE Ltd., c2006 |
Descrizione fisica | 1 online resource (765 p.) |
Disciplina |
621.382/2
621.3822 |
Altri autori (Persone) | CharbitMaurice |
Collana | Digital signal and image processing series |
Soggetto topico | Signal processing - Digital techniques - Data processing |
ISBN |
0-470-61238-X
1-280-51059-5 9786610510597 1-84704-463-8 0-470-39452-8 1-84704-563-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Digital Signal and Image Processing using MATLAB; Contents; Preface; Notations and Abbreviations; Introduction to MATLAB; 1 Variables; 1.1 Vectors and matrices; 1.2 Arrays; 1.3 Cells and structures; 2 Operations and functions; 2.1 Matrix operations; 2.2 Pointwise operations; 2.3 Constants and initialization; 2.4 Predefined matrices; 2.5 Mathematical functions; 2.6 Matrix functions; 2.7 Other useful functions; 2.8 Logical operators on boolean variables; 2.9 Program loops; 3 Graphically displaying results; 4 Converting numbers to character strings; 5 Input/output; 6 Program writing
Part I Deterministic SignalsChapter 1 Signal Fundamentals; 1.1 The concept of signal; 1.1.1 A few signals; 1.1.2 Spectral representation of signals; 1.2 The Concept of system; 1.3 Summary; Chapter 2 Discrete Time Signals and Sampling; 2.1 The sampling theorem; 2.1.1 Perfect reconstruction; 2.1.2 Digital-to-analog conversion; 2.2 Plotting a signal as a function of time; 2.3 Spectral representation; 2.3.1 Discrete-time Fourier transform (DTFT); 2.3.2 Discrete Fourier transform (DFT); 2.4 Fast Fourier transform; Chapter 3 Spectral Observation; 3.1 Spectral accuracy and resolution 3.1.1 Observation of a complex exponential3.1.2 Plotting accuracy of the DTFT; 3.1.3 Frequency resolution; 3.1.4 Effects of windowing on the resolution; 3.2 Short term Fourier transform; 3.3 Summing up; 3.4 Application examples and exercises; 3.4.1 Amplitude modulations; 3.4.2 Frequency modulation; Chapter 4 Linear Filters; 4.1 Definitions and properties; 4.2 The z-transform; 4.2.1 Definition and properties; 4.2.2 A few examples; 4.3 Transforms and linear filtering; 4.4 Difference equations and rational TF filters; 4.4.1 Stability considerations; 4.4.2 FIR and IIR filters 4.4.3 Causal solution and initial conditions4.4.4 Calculating the responses; 4.4.5 Stability and the Jury test; 4.5 Connection between gain and poles/zeros; 4.6 Minimum phase filters; 4.7 Filter design methods; 4.7.1 Going from the continuous-time filter to the discretetime filter; 4.7.2 FIR filter design using the window method; 4.7.3 IIR filter design; 4.8 Oversampling and undersampling; 4.8.1 Oversampling; 4.8.2 Undersampling; Chapter 5 Filter Implementation; 5.1 Filter implementation; 5.1.1 Examples of filter structures; 5.1.2 Distributing the calculation load in an FIR filter 5.1.3 FIR block filtering5.1.4 FFT filtering; 5.2 Filter banks; 5.2.1 Decimation and expansion; 5.2.2 Filter banks; Chapter 6 An Introduction to Image Processing; 6.1 Introduction; 6.1.1 Image display, color palette; 6.1.2 Importing images; 6.1.3 Arithmetical and logical operations; 6.2 Geometric transformations of an image; 6.2.1 The typical transformations; 6.2.2 Aligning images; 6.3 Frequential content of an image; 6.4 Linear filtering; 6.5 Other operations on images; 6.5.1 Undersampling; 6.5.2 Oversampling; 6.5.3 Contour detection; 6.5.4 Median filtering; 6.5.5 Maximum enhancement 6.5.6 Image binarization |
Record Nr. | UNINA-9910830078403321 |
Blanchet Gerard
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London ; ; Newport Beach, CA, : ISTE Ltd., c2006 | ||
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Lo trovi qui: Univ. Federico II | ||
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Digital signal and image processing using Matlab / / Gérard Blanchet, Maurice Charbit |
Autore | Blanchet Gerard |
Edizione | [1st edition] |
Pubbl/distr/stampa | London ; ; Newport Beach, CA, : ISTE Ltd., c2006 |
Descrizione fisica | 1 online resource (765 p.) |
Disciplina |
621.382/2
621.3822 |
Altri autori (Persone) | CharbitMaurice |
Collana | Digital signal and image processing series |
Soggetto topico | Signal processing - Digital techniques - Data processing |
ISBN |
9786610510597
9780470612385 047061238X 9781280510595 1280510595 9781847044631 1847044638 9780470394526 0470394528 9781847045638 1847045634 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Digital Signal and Image Processing using MATLAB; Contents; Preface; Notations and Abbreviations; Introduction to MATLAB; 1 Variables; 1.1 Vectors and matrices; 1.2 Arrays; 1.3 Cells and structures; 2 Operations and functions; 2.1 Matrix operations; 2.2 Pointwise operations; 2.3 Constants and initialization; 2.4 Predefined matrices; 2.5 Mathematical functions; 2.6 Matrix functions; 2.7 Other useful functions; 2.8 Logical operators on boolean variables; 2.9 Program loops; 3 Graphically displaying results; 4 Converting numbers to character strings; 5 Input/output; 6 Program writing
Part I Deterministic SignalsChapter 1 Signal Fundamentals; 1.1 The concept of signal; 1.1.1 A few signals; 1.1.2 Spectral representation of signals; 1.2 The Concept of system; 1.3 Summary; Chapter 2 Discrete Time Signals and Sampling; 2.1 The sampling theorem; 2.1.1 Perfect reconstruction; 2.1.2 Digital-to-analog conversion; 2.2 Plotting a signal as a function of time; 2.3 Spectral representation; 2.3.1 Discrete-time Fourier transform (DTFT); 2.3.2 Discrete Fourier transform (DFT); 2.4 Fast Fourier transform; Chapter 3 Spectral Observation; 3.1 Spectral accuracy and resolution 3.1.1 Observation of a complex exponential3.1.2 Plotting accuracy of the DTFT; 3.1.3 Frequency resolution; 3.1.4 Effects of windowing on the resolution; 3.2 Short term Fourier transform; 3.3 Summing up; 3.4 Application examples and exercises; 3.4.1 Amplitude modulations; 3.4.2 Frequency modulation; Chapter 4 Linear Filters; 4.1 Definitions and properties; 4.2 The z-transform; 4.2.1 Definition and properties; 4.2.2 A few examples; 4.3 Transforms and linear filtering; 4.4 Difference equations and rational TF filters; 4.4.1 Stability considerations; 4.4.2 FIR and IIR filters 4.4.3 Causal solution and initial conditions4.4.4 Calculating the responses; 4.4.5 Stability and the Jury test; 4.5 Connection between gain and poles/zeros; 4.6 Minimum phase filters; 4.7 Filter design methods; 4.7.1 Going from the continuous-time filter to the discretetime filter; 4.7.2 FIR filter design using the window method; 4.7.3 IIR filter design; 4.8 Oversampling and undersampling; 4.8.1 Oversampling; 4.8.2 Undersampling; Chapter 5 Filter Implementation; 5.1 Filter implementation; 5.1.1 Examples of filter structures; 5.1.2 Distributing the calculation load in an FIR filter 5.1.3 FIR block filtering5.1.4 FFT filtering; 5.2 Filter banks; 5.2.1 Decimation and expansion; 5.2.2 Filter banks; Chapter 6 An Introduction to Image Processing; 6.1 Introduction; 6.1.1 Image display, color palette; 6.1.2 Importing images; 6.1.3 Arithmetical and logical operations; 6.2 Geometric transformations of an image; 6.2.1 The typical transformations; 6.2.2 Aligning images; 6.3 Frequential content of an image; 6.4 Linear filtering; 6.5 Other operations on images; 6.5.1 Undersampling; 6.5.2 Oversampling; 6.5.3 Contour detection; 6.5.4 Median filtering; 6.5.5 Maximum enhancement 6.5.6 Image binarization |
Altri titoli varianti | Digital signal and image processing using matrix laboratory |
Record Nr. | UNINA-9910877254003321 |
Blanchet Gerard
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London ; ; Newport Beach, CA, : ISTE Ltd., c2006 | ||
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Lo trovi qui: Univ. Federico II | ||
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