CRIS Current Research Information System

SOVERINI, UMBERTO
 Distribuzione geografica
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Continente #
NA - Nord America 5.129
AS - Asia 2.565
EU - Europa 2.486
AF - Africa 191
SA - Sud America 121
Continente sconosciuto - Info sul continente non disponibili 4
OC - Oceania 3
Totale 10.499
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Nazione #
US - Stati Uniti d'America 5.106
SG - Singapore 817
CN - Cina 799
GB - Regno Unito 668
IT - Italia 632
VN - Vietnam 401
DE - Germania 276
HK - Hong Kong 225
UA - Ucraina 180
SE - Svezia 160
RU - Federazione Russa 154
IN - India 146
FR - Francia 110
NL - Olanda 91
BR - Brasile 88
IE - Irlanda 69
TG - Togo 64
KR - Corea 52
ZA - Sudafrica 51
CI - Costa d'Avorio 45
EE - Estonia 43
JP - Giappone 41
JO - Giordania 38
BG - Bulgaria 20
CA - Canada 20
CH - Svizzera 17
SC - Seychelles 17
AR - Argentina 14
BE - Belgio 11
TR - Turchia 10
EC - Ecuador 9
ES - Italia 9
FI - Finlandia 9
ID - Indonesia 9
BD - Bangladesh 8
GR - Grecia 7
PL - Polonia 6
AT - Austria 5
RO - Romania 4
AU - Australia 3
CL - Cile 3
EG - Egitto 3
EU - Europa 3
HR - Croazia 3
MA - Marocco 3
YE - Yemen 3
AZ - Azerbaigian 2
DZ - Algeria 2
IL - Israele 2
KE - Kenya 2
LB - Libano 2
LT - Lituania 2
LU - Lussemburgo 2
MY - Malesia 2
PY - Paraguay 2
SA - Arabia Saudita 2
SK - Slovacchia (Repubblica Slovacca) 2
UY - Uruguay 2
VE - Venezuela 2
A2 - ???statistics.table.value.countryCode.A2??? 1
AE - Emirati Arabi Uniti 1
AL - Albania 1
BH - Bahrain 1
CO - Colombia 1
DK - Danimarca 1
HU - Ungheria 1
JM - Giamaica 1
KH - Cambogia 1
KZ - Kazakistan 1
LA - Repubblica Popolare Democratica del Laos 1
MD - Moldavia 1
ME - Montenegro 1
MX - Messico 1
NG - Nigeria 1
NI - Nicaragua 1
SD - Sudan 1
SI - Slovenia 1
TN - Tunisia 1
UZ - Uzbekistan 1
ZW - Zimbabwe 1
Totale 10.499
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Città #
Ann Arbor 1.836
Southend 573
Singapore 564
Santa Clara 411
Fairfield 333
Ashburn 292
Wilmington 229
Hong Kong 221
Chandler 201
Hefei 168
Woodbridge 157
Houston 125
Princeton 125
Jacksonville 120
Seattle 120
Bologna 112
Cambridge 98
Dong Ket 98
Boardman 96
Beijing 95
Dublin 68
Hanoi 65
Lomé 64
Nanjing 63
Ho Chi Minh City 59
Westminster 57
Padova 52
Medford 49
Seoul 47
Milan 46
Abidjan 45
Berlin 44
Rome 42
Tokyo 39
Amman 38
Los Angeles 37
Buffalo 33
San Diego 29
Saint Petersburg 28
The Dalles 25
Jinan 23
Redwood City 23
Nanchang 22
Mülheim 21
Cesena 20
Sofia 20
Tianjin 20
Redondo Beach 19
Dallas 18
Fremont 17
Shenyang 17
Zhengzhou 17
Changsha 16
Naples 15
Mahé 14
Shanghai 14
Yubileyny 14
Bern 13
Dearborn 13
Florence 13
Redmond 13
Bengaluru 12
Guangzhou 11
Ningbo 11
Brussels 10
Chicago 10
Falls Church 10
Hangzhou 10
Hebei 10
Phoenix 10
Da Nang 9
Haikou 9
London 9
San Francisco 9
Taiyuan 9
Toronto 9
Des Moines 8
Jiaxing 8
Bühl 7
Fuzhou 7
Haiphong 7
Hải Dương 7
Salerno 7
Taizhou 7
Trieste 7
Verona 7
Forlì 6
Helsinki 6
Montreal 6
New York 6
Norwalk 6
Pistoia 6
Turin 6
Biên Hòa 5
Catania 5
Frankfurt am Main 5
Gorizia 5
Ha Long 5
Jakarta 5
Lanzhou 5
Totale 7.563
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Nome #
Sistemi Dinamici - Esercizi commentati e risolti 452
A noise signature approach to fault detection and isolation 245
Kalman filtering in extended noise environments 236
A new estimation approach for AR models in presence of noise 231
Blind identification and equalization of two-channel FIR systems in unbalanced noise environments 223
Identification of ARMAX models with additive output noise 216
Identification of ARX and ARARX models in the presence of input and output noises 206
Frisch scheme-based algorithms for EIV identification 200
Errors-in-variables identification using maximum likelihood estimation in the frequency domain 200
On the use of quasi-positive versus positive state-space models of externally positive discrete-time systems 198
2D-frequency domain identification of complex sinusoids in the presence of additive noise 197
A new optimal smoothing approach for AR + noise models and application to single-microphone speech enhancement 196
Blind identification and equalization of multichannel FIR systems in unbalanced noise environments 193
A dual filtering approach in MEMS based dynamic attitude estimation 192
Frequency domain identification of ARX models in the presence of additive input-output noise 191
Direction-of-Arrival estimation in nonuniform noise fields: a Frisch scheme approach 184
Yule-Walker equations in the Frisch scheme solution of errors-in-variables identification problems 183
Identification techniques in VNAV autopilot design for a light sport aircraft 180
Comparison of three Frisch methods for errors-in-variables identification 179
Identification of residual generators for fault detection of linear dynamic models 178
The Frisch scheme in algebraic and dynamic identification problems 175
Identification of ARX models with noisy input and output 174
Identification of errors-in-variables models with colored output noise 174
Identification of autoregressive models in the presence of additive noise 173
Frequency domain identification of complex sinusoids in the presence of additive noise 171
A unified framework for EIV identification methods in the presence of mutually correlated noises 170
Speech enhancement combining optimal smoothing and errors-in-variables identification of noisy AR processes 169
Blind identification of two–channel FIR systems: a frequency domain approach 169
Errors-in-variables based identification of autoregressive parameters for speech enhancement using one microphone 168
A new approach for identifying noisy input-output FIR models 167
Identification of errors–in–variables models with mutually correlated input and output noises 167
Some issues on errors-in-variables identification 165
The Frisch scheme in algebraic and dynamic identification problems 164
Maximum likelihood identification of noisy input-output models 164
Identification of ARMAX models with noisy input and output 161
Estimating the number of signals in the presence of nonuniform noise 161
A noise-compensated estimation scheme for AR processes 157
Identification of two dimensional complex sinusoids in white noise: a state-space frequency approach 157
Frequency domain identification of FIR models in the presence of additive input–output noise 157
Frequency domain maximum likelihood identification of noisy input–output models 154
Frequency domain EIV identification combining the Frisch scheme and Yule-Walker equations 153
2D-frequency domain identification of complex sinusoids in the presence of additive noise 149
Dereverbering speech and cancelling additive noise as an errors-in-variables interpolation issue 149
Frequency domain EIV identification: a Frisch Scheme approach 147
A unified framework for EIV identification methods when the measurement noises are mutually correlated 146
Identification of ARARX models in presence of additive noise 143
Optimal errors-in-variables filtering in the MIMO case 141
Transfer Function Parameter Identification in the Frequency domain 134
Errors in Variables Identification using maximum likelihood estimation in the Frequency Domain 132
The Frisch scheme for EIV system identification: time and frequency domain formulations 128
Identification of errors-in-variables models as a quadratic eigenvalue problem 126
FRF parameter identification with arbitrary input sequence from noisy input–output measurements 125
A note on the estimation of real- and complex-valued parameters in frequency domain maximum likelihood identification 125
Frequency domain identification of autoregressive models in the presence of additive noise 123
Identification of two-dimensional complex sinusoids in white noise: a state-space frequency approach 117
Aspects on errors-in-variables identification: Some ways to mitigate a large bias 116
When Are Errors-in-Variables Aspects Important to Consider in System Identification? 116
Esercizi di Sistemi Dinamici commentati e risolti 115
The Frisch scheme: time and frequency domain aspects 107
Frequency domain identification of FIR models from noisy input-output data 99
A generalized instrumental variable framework for EIV identification methods when the measurement noises are mutually correlated 97
Frequency domain identification of autoregressive models in the presence of additive noise 87
When are errors-in-variables aspects particularly important to consider in system identification? 73
Bias Considerations When Identifying Systems from Noisy Input-Output Data - Extensions to General Model Structures 69
Analyzing the parameter bias when an ARMAX model is fitted to noise-corrupted data 61
Analyzing the Parameter Bias when an Instrumental Variable Method is Used with Noise-Corrupted Data 49
Totale 10.624
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Categoria #
all - tutte 25.676
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 25.676
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021562 0 0 0 0 0 69 27 62 91 62 42 209
2021/20222.932 149 44 343 308 379 274 303 282 320 80 195 255
2022/20231.089 92 168 34 155 88 84 33 63 201 18 81 72
2023/2024345 22 63 36 27 20 40 28 15 10 26 33 25
2024/20251.798 122 264 99 101 514 98 148 27 8 89 33 295
2025/20261.545 239 279 314 195 365 153 0 0 0 0 0 0
Totale 10.624