Advances in time series forecasting [[electronic resource] /] / editor, Cagdas Hakan Aladag ; co-editor, Erol Eǧrioǧlu |
Pubbl/distr/stampa | [Oak Park, Ill.], : Bentham eBooks, [2012] |
Descrizione fisica | 1 online resource (143 p.) |
Disciplina | 621.38220151 |
Altri autori (Persone) |
AladagCagdas Hakan
EǧrioǧluErol |
Soggetto topico | Time-series analysis |
Soggetto genere / forma | Electronic books. |
ISBN | 1-60805-373-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | pt. 1. Time series forecasting using ANN -- pt. 2. Fuzzy time series -- pt. 3. Hybrid methods. |
Record Nr. | UNINA-9910465406703321 |
[Oak Park, Ill.], : Bentham eBooks, [2012] | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Advances in time series forecasting [[electronic resource] /] / editor, Cagdas Hakan Aladag ; co-editor, Erol Eǧrioǧlu |
Pubbl/distr/stampa | [Oak Park, Ill.], : Bentham eBooks, [2012] |
Descrizione fisica | 1 online resource (143 p.) |
Disciplina | 621.38220151 |
Altri autori (Persone) |
AladagCagdas Hakan
EǧrioǧluErol |
Soggetto topico | Time-series analysis |
ISBN | 1-60805-373-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | pt. 1. Time series forecasting using ANN -- pt. 2. Fuzzy time series -- pt. 3. Hybrid methods. |
Record Nr. | UNINA-9910792098303321 |
[Oak Park, Ill.], : Bentham eBooks, [2012] | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Advances in time series forecasting [[electronic resource] /] / editor, Cagdas Hakan Aladag ; co-editor, Erol Eǧrioǧlu |
Pubbl/distr/stampa | [Oak Park, Ill.], : Bentham eBooks, [2012] |
Descrizione fisica | 1 online resource (143 p.) |
Disciplina | 621.38220151 |
Altri autori (Persone) |
AladagCagdas Hakan
EǧrioǧluErol |
Soggetto topico | Time-series analysis |
ISBN | 1-60805-373-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | pt. 1. Time series forecasting using ANN -- pt. 2. Fuzzy time series -- pt. 3. Hybrid methods. |
Record Nr. | UNINA-9910826077903321 |
[Oak Park, Ill.], : Bentham eBooks, [2012] | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
ANSI C93.3-1995 : American National Standard--Requirements for Power-Line Carrier Line Traps / / Institute of Electrical and Electronics Engineers |
Pubbl/distr/stampa | New York, New York : , : IEEE, , 1995 |
Descrizione fisica | 1 online resource (29 pages) |
Disciplina | 621.38220151 |
Soggetto topico | Signal processing - Mathematics |
ISBN | 0-7381-4037-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | ANSI C93.3-1995: American National Standard--Requirements for Power-Line Carrier Line Traps |
Record Nr. | UNINA-9910135783303321 |
New York, New York : , : IEEE, , 1995 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
ANSI C93.3-1995 : American National Standard--Requirements for Power-Line Carrier Line Traps / / Institute of Electrical and Electronics Engineers |
Pubbl/distr/stampa | New York, New York : , : IEEE, , 1995 |
Descrizione fisica | 1 online resource (29 pages) |
Disciplina | 621.38220151 |
Soggetto topico | Signal processing - Mathematics |
ISBN | 0-7381-4037-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | ANSI C93.3-1995: American National Standard--Requirements for Power-Line Carrier Line Traps |
Record Nr. | UNISA-996279858403316 |
New York, New York : , : IEEE, , 1995 | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
|
The Art of Error Correcting Coding [[electronic resource]] |
Autore | Morelos-Zaragoza Robert H |
Edizione | [2nd ed.] |
Pubbl/distr/stampa | Hoboken, : Wiley, 2006 |
Descrizione fisica | 1 online resource (279 p.) |
Disciplina |
621.3822
621.38220151 |
Soggetto topico |
Computer algorithms
Error-correcting codes (Information theory) Mathematics Electrical & Computer Engineering Telecommunications Algebra Engineering & Applied Sciences Physical Sciences & Mathematics |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-51916-9
9786610519163 0-470-03570-6 0-470-03569-2 |
Classificazione | 54.10 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
The Art of Error Correcting Coding; Contents; Preface; Foreword; The ECC web site; 1 Introduction; 1.1 Error correcting coding: Basic concepts; 1.1.1 Block codes and convolutional codes; 1.1.2 Hamming distance, Hamming spheres and error correcting capability; 1.2 Linear block codes; 1.2.1 Generator and parity-check matrices; 1.2.2 The weight is the distance; 1.3 Encoding and decoding of linear block codes; 1.3.1 Encoding with G and H; 1.3.2 Standard array decoding; 1.3.3 Hamming spheres, decoding regions and the standard array; 1.4 Weight distribution and error performance
1.4.1 Weight distribution and undetected error probability over a BSC1.4.2 Performance bounds over BSC, AWGN and fading channels; 1.5 General structure of a hard-decision decoder of linear codes; Problems; 2 Hamming, Golay and Reed-Muller codes; 2.1 Hamming codes; 2.1.1 Encoding and decoding procedures; 2.2 The binary Golay code; 2.2.1 Encoding; 2.2.2 Decoding; 2.2.3 Arithmetic decoding of the extended (24, 12, 8) Golay code; 2.3 Binary Reed-Muller codes; 2.3.1 Boolean polynomials and RM codes; 2.3.2 Finite geometries and majority-logic decoding; Problems; 3 Binary cyclic codes and BCH codes 3.1 Binary cyclic codes3.1.1 Generator and parity-check polynomials; 3.1.2 The generator polynomial; 3.1.3 Encoding and decoding of binary cyclic codes; 3.1.4 The parity-check polynomial; 3.1.5 Shortened cyclic codes and CRC codes; 3.1.6 Fire codes; 3.2 General decoding of cyclic codes; 3.2.1 GF(2m) arithmetic; 3.3 Binary BCH codes; 3.3.1 BCH bound; 3.4 Polynomial codes; 3.5 Decoding of binary BCH codes; 3.5.1 General decoding algorithm for BCH codes; 3.5.2 The Berlekamp-Massey algorithm (BMA); 3.5.3 PGZ decoder; 3.5.4 Euclidean algorithm; 3.5.5 Chien search and error correction 3.5.6 Errors-and-erasures decoding3.6 Weight distribution and performance bounds; 3.6.1 Error performance evaluation; Problems; 4 Nonbinary BCH codes: Reed-Solomon codes; 4.1 RS codes as polynomial codes; 4.2 From binary BCH to RS codes; 4.3 Decoding RS codes; 4.3.1 Remarks on decoding algorithms; 4.3.2 Errors-and-erasures decoding; 4.4 Weight distribution; Problems; 5 Binary convolutional codes; 5.1 Basic structure; 5.1.1 Recursive systematic convolutional codes; 5.1.2 Free distance; 5.2 Connections with block codes; 5.2.1 Zero-tail construction; 5.2.2 Direct-truncation construction 5.2.3 Tail-biting construction5.2.4 Weight distributions; 5.3 Weight enumeration; 5.4 Performance bounds; 5.5 Decoding: Viterbi algorithm with Hamming metrics; 5.5.1 Maximum-likelihood decoding and metrics; 5.5.2 The Viterbi algorithm; 5.5.3 Implementation issues; 5.6 Punctured convolutional codes; 5.6.1 Implementation issues related to punctured convolutional codes; 5.6.2 RCPC codes; Problems; 6 Modifying and combining codes; 6.1 Modifying codes; 6.1.1 Shortening; 6.1.2 Extending; 6.1.3 Puncturing; 6.1.4 Augmenting, expurgating and lengthening; 6.2 Combining codes 6.2.1 Time sharing of codes |
Record Nr. | UNINA-9910143714103321 |
Morelos-Zaragoza Robert H
![]() |
||
Hoboken, : Wiley, 2006 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
The Art of Error Correcting Coding [[electronic resource]] |
Autore | Morelos-Zaragoza Robert H |
Edizione | [2nd ed.] |
Pubbl/distr/stampa | Hoboken, : Wiley, 2006 |
Descrizione fisica | 1 online resource (279 p.) |
Disciplina |
621.3822
621.38220151 |
Soggetto topico |
Computer algorithms
Error-correcting codes (Information theory) Mathematics Electrical & Computer Engineering Telecommunications Algebra Engineering & Applied Sciences Physical Sciences & Mathematics |
ISBN |
1-280-51916-9
9786610519163 0-470-03570-6 0-470-03569-2 |
Classificazione | 54.10 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
The Art of Error Correcting Coding; Contents; Preface; Foreword; The ECC web site; 1 Introduction; 1.1 Error correcting coding: Basic concepts; 1.1.1 Block codes and convolutional codes; 1.1.2 Hamming distance, Hamming spheres and error correcting capability; 1.2 Linear block codes; 1.2.1 Generator and parity-check matrices; 1.2.2 The weight is the distance; 1.3 Encoding and decoding of linear block codes; 1.3.1 Encoding with G and H; 1.3.2 Standard array decoding; 1.3.3 Hamming spheres, decoding regions and the standard array; 1.4 Weight distribution and error performance
1.4.1 Weight distribution and undetected error probability over a BSC1.4.2 Performance bounds over BSC, AWGN and fading channels; 1.5 General structure of a hard-decision decoder of linear codes; Problems; 2 Hamming, Golay and Reed-Muller codes; 2.1 Hamming codes; 2.1.1 Encoding and decoding procedures; 2.2 The binary Golay code; 2.2.1 Encoding; 2.2.2 Decoding; 2.2.3 Arithmetic decoding of the extended (24, 12, 8) Golay code; 2.3 Binary Reed-Muller codes; 2.3.1 Boolean polynomials and RM codes; 2.3.2 Finite geometries and majority-logic decoding; Problems; 3 Binary cyclic codes and BCH codes 3.1 Binary cyclic codes3.1.1 Generator and parity-check polynomials; 3.1.2 The generator polynomial; 3.1.3 Encoding and decoding of binary cyclic codes; 3.1.4 The parity-check polynomial; 3.1.5 Shortened cyclic codes and CRC codes; 3.1.6 Fire codes; 3.2 General decoding of cyclic codes; 3.2.1 GF(2m) arithmetic; 3.3 Binary BCH codes; 3.3.1 BCH bound; 3.4 Polynomial codes; 3.5 Decoding of binary BCH codes; 3.5.1 General decoding algorithm for BCH codes; 3.5.2 The Berlekamp-Massey algorithm (BMA); 3.5.3 PGZ decoder; 3.5.4 Euclidean algorithm; 3.5.5 Chien search and error correction 3.5.6 Errors-and-erasures decoding3.6 Weight distribution and performance bounds; 3.6.1 Error performance evaluation; Problems; 4 Nonbinary BCH codes: Reed-Solomon codes; 4.1 RS codes as polynomial codes; 4.2 From binary BCH to RS codes; 4.3 Decoding RS codes; 4.3.1 Remarks on decoding algorithms; 4.3.2 Errors-and-erasures decoding; 4.4 Weight distribution; Problems; 5 Binary convolutional codes; 5.1 Basic structure; 5.1.1 Recursive systematic convolutional codes; 5.1.2 Free distance; 5.2 Connections with block codes; 5.2.1 Zero-tail construction; 5.2.2 Direct-truncation construction 5.2.3 Tail-biting construction5.2.4 Weight distributions; 5.3 Weight enumeration; 5.4 Performance bounds; 5.5 Decoding: Viterbi algorithm with Hamming metrics; 5.5.1 Maximum-likelihood decoding and metrics; 5.5.2 The Viterbi algorithm; 5.5.3 Implementation issues; 5.6 Punctured convolutional codes; 5.6.1 Implementation issues related to punctured convolutional codes; 5.6.2 RCPC codes; Problems; 6 Modifying and combining codes; 6.1 Modifying codes; 6.1.1 Shortening; 6.1.2 Extending; 6.1.3 Puncturing; 6.1.4 Augmenting, expurgating and lengthening; 6.2 Combining codes 6.2.1 Time sharing of codes |
Record Nr. | UNINA-9910831055703321 |
Morelos-Zaragoza Robert H
![]() |
||
Hoboken, : Wiley, 2006 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
The Art of Error Correcting Coding [[electronic resource]] |
Autore | Morelos-Zaragoza Robert H |
Edizione | [2nd ed.] |
Pubbl/distr/stampa | Hoboken, : Wiley, 2006 |
Descrizione fisica | 1 online resource (279 p.) |
Disciplina |
621.3822
621.38220151 |
Soggetto topico |
Computer algorithms
Error-correcting codes (Information theory) Mathematics Electrical & Computer Engineering Telecommunications Algebra Engineering & Applied Sciences Physical Sciences & Mathematics |
ISBN |
1-280-51916-9
9786610519163 0-470-03570-6 0-470-03569-2 |
Classificazione | 54.10 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
The Art of Error Correcting Coding; Contents; Preface; Foreword; The ECC web site; 1 Introduction; 1.1 Error correcting coding: Basic concepts; 1.1.1 Block codes and convolutional codes; 1.1.2 Hamming distance, Hamming spheres and error correcting capability; 1.2 Linear block codes; 1.2.1 Generator and parity-check matrices; 1.2.2 The weight is the distance; 1.3 Encoding and decoding of linear block codes; 1.3.1 Encoding with G and H; 1.3.2 Standard array decoding; 1.3.3 Hamming spheres, decoding regions and the standard array; 1.4 Weight distribution and error performance
1.4.1 Weight distribution and undetected error probability over a BSC1.4.2 Performance bounds over BSC, AWGN and fading channels; 1.5 General structure of a hard-decision decoder of linear codes; Problems; 2 Hamming, Golay and Reed-Muller codes; 2.1 Hamming codes; 2.1.1 Encoding and decoding procedures; 2.2 The binary Golay code; 2.2.1 Encoding; 2.2.2 Decoding; 2.2.3 Arithmetic decoding of the extended (24, 12, 8) Golay code; 2.3 Binary Reed-Muller codes; 2.3.1 Boolean polynomials and RM codes; 2.3.2 Finite geometries and majority-logic decoding; Problems; 3 Binary cyclic codes and BCH codes 3.1 Binary cyclic codes3.1.1 Generator and parity-check polynomials; 3.1.2 The generator polynomial; 3.1.3 Encoding and decoding of binary cyclic codes; 3.1.4 The parity-check polynomial; 3.1.5 Shortened cyclic codes and CRC codes; 3.1.6 Fire codes; 3.2 General decoding of cyclic codes; 3.2.1 GF(2m) arithmetic; 3.3 Binary BCH codes; 3.3.1 BCH bound; 3.4 Polynomial codes; 3.5 Decoding of binary BCH codes; 3.5.1 General decoding algorithm for BCH codes; 3.5.2 The Berlekamp-Massey algorithm (BMA); 3.5.3 PGZ decoder; 3.5.4 Euclidean algorithm; 3.5.5 Chien search and error correction 3.5.6 Errors-and-erasures decoding3.6 Weight distribution and performance bounds; 3.6.1 Error performance evaluation; Problems; 4 Nonbinary BCH codes: Reed-Solomon codes; 4.1 RS codes as polynomial codes; 4.2 From binary BCH to RS codes; 4.3 Decoding RS codes; 4.3.1 Remarks on decoding algorithms; 4.3.2 Errors-and-erasures decoding; 4.4 Weight distribution; Problems; 5 Binary convolutional codes; 5.1 Basic structure; 5.1.1 Recursive systematic convolutional codes; 5.1.2 Free distance; 5.2 Connections with block codes; 5.2.1 Zero-tail construction; 5.2.2 Direct-truncation construction 5.2.3 Tail-biting construction5.2.4 Weight distributions; 5.3 Weight enumeration; 5.4 Performance bounds; 5.5 Decoding: Viterbi algorithm with Hamming metrics; 5.5.1 Maximum-likelihood decoding and metrics; 5.5.2 The Viterbi algorithm; 5.5.3 Implementation issues; 5.6 Punctured convolutional codes; 5.6.1 Implementation issues related to punctured convolutional codes; 5.6.2 RCPC codes; Problems; 6 Modifying and combining codes; 6.1 Modifying codes; 6.1.1 Shortening; 6.1.2 Extending; 6.1.3 Puncturing; 6.1.4 Augmenting, expurgating and lengthening; 6.2 Combining codes 6.2.1 Time sharing of codes |
Record Nr. | UNINA-9910841302103321 |
Morelos-Zaragoza Robert H
![]() |
||
Hoboken, : Wiley, 2006 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Compressed Sensing and Its Applications [[electronic resource] ] : Third International MATHEON Conference 2017 / / edited by Holger Boche, Giuseppe Caire, Robert Calderbank, Gitta Kutyniok, Rudolf Mathar, Philipp Petersen |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2019 |
Descrizione fisica | 1 online resource (305 pages) |
Disciplina | 621.38220151 |
Collana | Applied and Numerical Harmonic Analysis |
Soggetto topico |
Information theory
Fourier analysis Computer science—Mathematics Computer mathematics Machine learning Signal processing Image processing Speech processing systems Information and Communication, Circuits Fourier Analysis Mathematical Applications in Computer Science Machine Learning Signal, Image and Speech Processing |
ISBN | 3-319-73074-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | An Introduction to Compressed Sensing -- Quantized Compressed Sensing: a Survey -- On reconstructing functions from binary measurements -- Classification scheme for binary data with extensions -- Generalization Error in Deep Learning -- Deep learning for trivial inverse problems -- Oracle inequalities for local and global empirical risk minimizers -- Median-Truncated Gradient Descent: A Robust and Scalable Nonconvex Approach for Signal Estimation -- Reconstruction Methods in THz Single-pixel Imaging. |
Record Nr. | UNINA-9910349322703321 |
Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2019 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Compressed Sensing and its Applications [[electronic resource] ] : MATHEON Workshop 2013 / / edited by Holger Boche, Robert Calderbank, Gitta Kutyniok, Jan Vybíral |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2015 |
Descrizione fisica | 1 online resource (475 p.) |
Disciplina | 621.38220151 |
Collana | Applied and Numerical Harmonic Analysis |
Soggetto topico |
Information theory
Signal processing Image processing Speech processing systems Coding theory Numerical analysis Matrix theory Algebra Computer mathematics Information and Communication, Circuits Signal, Image and Speech Processing Coding and Information Theory Numerical Analysis Linear and Multilinear Algebras, Matrix Theory Computational Science and Engineering |
ISBN | 3-319-16042-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Survey on Compressed Sensing -- Temporal compressive sensing for video -- Compressed Sensing, Sparse Inversion, and Model Mismatch -- Recovering Structured Signals in Noise: Least-Squares Meets Compressed Sensing -- The Quest for Optimal Sampling: Computationally Efficient, Structure-exploiting Measurements for Compressed Sensing -- Compressive Sensing in Acoustic Imaging -- Quantization and Compressive Sensing -- Compressive Gaussian Mixture Estimation -- Two Algorithms for Compressed Sensing of Sparse Tensors -- Sparse Model Uncertainties in Compressed Sensing with Application to Convolutions and Sporadic Communication -- Cosparsity in Compressed Sensing -- Structured Sparsity: Discrete and Convex Approaches -- Explicit Matrices with the Restricted Isometry Property: Breaking the Square-Root Bottleneck -- Tensor Completion in Hierarchical Tensor Representations -- Compressive Classification: Where Wireless Communications Meets Machine Learning. |
Record Nr. | UNINA-9910299783403321 |
Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2015 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|