CRIS Current Research Information System

SOVERINI, UMBERTO
 Distribuzione geografica
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Continente #
NA - Nord America 5.445
AS - Asia 3.349
EU - Europa 2.631
AF - Africa 203
SA - Sud America 157
Continente sconosciuto - Info sul continente non disponibili 4
OC - Oceania 4
Totale 11.793
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Nazione #
US - Stati Uniti d'America 5.413
SG - Singapore 914
CN - Cina 884
VN - Vietnam 835
GB - Regno Unito 680
IT - Italia 653
DE - Germania 288
HK - Hong Kong 260
UA - Ucraina 181
FR - Francia 180
SE - Svezia 160
IN - India 159
RU - Federazione Russa 154
BR - Brasile 105
NL - Olanda 98
IE - Irlanda 70
JP - Giappone 65
TG - Togo 65
KR - Corea 60
ZA - Sudafrica 53
CI - Costa d'Avorio 45
EE - Estonia 43
JO - Giordania 39
CA - Canada 24
AR - Argentina 20
BG - Bulgaria 20
PH - Filippine 20
TH - Thailandia 18
CH - Svizzera 17
FI - Finlandia 17
SC - Seychelles 17
TR - Turchia 15
EC - Ecuador 14
BD - Bangladesh 12
BE - Belgio 12
ES - Italia 11
ID - Indonesia 11
IQ - Iraq 10
PL - Polonia 8
GR - Grecia 7
MY - Malesia 7
SA - Arabia Saudita 7
CL - Cile 6
PK - Pakistan 6
AT - Austria 5
MX - Messico 5
RO - Romania 5
TN - Tunisia 5
TW - Taiwan 5
AU - Australia 4
CO - Colombia 4
MA - Marocco 4
AE - Emirati Arabi Uniti 3
EG - Egitto 3
EU - Europa 3
HR - Croazia 3
KE - Kenya 3
LT - Lituania 3
SK - Slovacchia (Repubblica Slovacca) 3
UZ - Uzbekistan 3
VE - Venezuela 3
YE - Yemen 3
AL - Albania 2
AZ - Azerbaigian 2
DZ - Algeria 2
HU - Ungheria 2
IL - Israele 2
LB - Libano 2
LU - Lussemburgo 2
LY - Libia 2
OM - Oman 2
PT - Portogallo 2
PY - Paraguay 2
UY - Uruguay 2
A2 - ???statistics.table.value.countryCode.A2??? 1
BH - Bahrain 1
CR - Costa Rica 1
CZ - Repubblica Ceca 1
DK - Danimarca 1
JM - Giamaica 1
KH - Cambogia 1
KZ - Kazakistan 1
LA - Repubblica Popolare Democratica del Laos 1
MD - Moldavia 1
ME - Montenegro 1
MU - Mauritius 1
NG - Nigeria 1
NI - Nicaragua 1
NP - Nepal 1
PE - Perù 1
SD - Sudan 1
SI - Slovenia 1
ZW - Zimbabwe 1
Totale 11.793
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Città #
Ann Arbor 1.836
Singapore 657
Southend 573
Santa Clara 411
Fairfield 334
Ashburn 324
Hong Kong 245
Wilmington 229
Chandler 201
Ho Chi Minh City 171
Hefei 170
Hanoi 164
Woodbridge 157
San Jose 131
Houston 125
Princeton 125
Jacksonville 120
Seattle 120
Bologna 113
Cambridge 98
Dong Ket 98
Boardman 96
Beijing 95
Dublin 69
Lomé 64
Nanjing 63
Lauterbourg 58
Tokyo 57
Westminster 57
Los Angeles 54
Padova 52
The Dalles 50
Medford 49
Seoul 47
Milan 46
Abidjan 45
Berlin 44
Rome 43
Amman 39
Buffalo 37
Haiphong 29
San Diego 29
Saint Petersburg 28
Da Nang 27
Jinan 23
Redwood City 23
Nanchang 22
Mülheim 21
Tianjin 21
Cesena 20
Dallas 20
Sofia 20
Changsha 19
New York 19
Redondo Beach 19
Zhengzhou 19
Shanghai 18
Shenyang 18
Fremont 17
Naples 16
Guangzhou 14
Helsinki 14
Hải Dương 14
Mahé 14
Yubileyny 14
Bern 13
Dearborn 13
Florence 13
Frankfurt am Main 13
Redmond 13
Bengaluru 12
Hangzhou 12
London 12
Brussels 11
Ningbo 11
Phoenix 11
Chicago 10
Falls Church 10
Hebei 10
Toronto 10
Haikou 9
Jiaxing 9
San Francisco 9
Taiyuan 9
Amsterdam 8
Council Bluffs 8
Des Moines 8
São Paulo 8
Bangkok 7
Biên Hòa 7
Bühl 7
Can Tho 7
Fuzhou 7
Montreal 7
Paris 7
Salerno 7
Taizhou 7
Trieste 7
Verona 7
Forlì 6
Totale 8.290
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Nome #
Sistemi Dinamici - Esercizi commentati e risolti 531
A noise signature approach to fault detection and isolation 260
Kalman filtering in extended noise environments 257
Blind identification and equalization of two-channel FIR systems in unbalanced noise environments 244
A new estimation approach for AR models in presence of noise 244
Identification of ARX and ARARX models in the presence of input and output noises 226
Identification of ARMAX models with additive output noise 226
A new optimal smoothing approach for AR + noise models and application to single-microphone speech enhancement 219
2D-frequency domain identification of complex sinusoids in the presence of additive noise 218
Errors-in-variables identification using maximum likelihood estimation in the frequency domain 217
On the use of quasi-positive versus positive state-space models of externally positive discrete-time systems 216
Frisch scheme-based algorithms for EIV identification 215
A dual filtering approach in MEMS based dynamic attitude estimation 212
Blind identification and equalization of multichannel FIR systems in unbalanced noise environments 211
Frequency domain identification of ARX models in the presence of additive input-output noise 211
Direction-of-Arrival estimation in nonuniform noise fields: a Frisch scheme approach 208
Yule-Walker equations in the Frisch scheme solution of errors-in-variables identification problems 206
Identification of autoregressive models in the presence of additive noise 200
The Frisch scheme in algebraic and dynamic identification problems 199
Identification of residual generators for fault detection of linear dynamic models 198
Identification techniques in VNAV autopilot design for a light sport aircraft 195
Frequency domain identification of complex sinusoids in the presence of additive noise 195
Blind identification of two–channel FIR systems: a frequency domain approach 194
Identification of ARMAX models with noisy input and output 192
Identification of errors-in-variables models with colored output noise 192
Comparison of three Frisch methods for errors-in-variables identification 190
A new approach for identifying noisy input-output FIR models 189
Identification of errors–in–variables models with mutually correlated input and output noises 189
A unified framework for EIV identification methods in the presence of mutually correlated noises 188
Identification of ARX models with noisy input and output 187
Errors-in-variables based identification of autoregressive parameters for speech enhancement using one microphone 185
Identification of two dimensional complex sinusoids in white noise: a state-space frequency approach 184
Maximum likelihood identification of noisy input-output models 182
Frequency domain identification of FIR models in the presence of additive input–output noise 182
2D-frequency domain identification of complex sinusoids in the presence of additive noise 181
Estimating the number of signals in the presence of nonuniform noise 180
Speech enhancement combining optimal smoothing and errors-in-variables identification of noisy AR processes 178
The Frisch scheme in algebraic and dynamic identification problems 175
Some issues on errors-in-variables identification 174
A noise-compensated estimation scheme for AR processes 168
Dereverbering speech and cancelling additive noise as an errors-in-variables interpolation issue 168
A unified framework for EIV identification methods when the measurement noises are mutually correlated 164
Frequency domain maximum likelihood identification of noisy input–output models 162
Frequency domain EIV identification: a Frisch Scheme approach 161
Frequency domain EIV identification combining the Frisch scheme and Yule-Walker equations 161
Optimal errors-in-variables filtering in the MIMO case 156
Identification of ARARX models in presence of additive noise 154
Errors in Variables Identification using maximum likelihood estimation in the Frequency Domain 152
The Frisch scheme for EIV system identification: time and frequency domain formulations 149
A note on the estimation of real- and complex-valued parameters in frequency domain maximum likelihood identification 148
Identification of two-dimensional complex sinusoids in white noise: a state-space frequency approach 147
Transfer Function Parameter Identification in the Frequency domain 144
FRF parameter identification with arbitrary input sequence from noisy input–output measurements 140
When Are Errors-in-Variables Aspects Important to Consider in System Identification? 136
The Frisch scheme: time and frequency domain aspects 136
Esercizi di Sistemi Dinamici commentati e risolti 134
Aspects on errors-in-variables identification: Some ways to mitigate a large bias 133
Identification of errors-in-variables models as a quadratic eigenvalue problem 132
Frequency domain identification of autoregressive models in the presence of additive noise 131
Frequency domain identification of FIR models from noisy input-output data 129
A generalized instrumental variable framework for EIV identification methods when the measurement noises are mutually correlated 113
Frequency domain identification of autoregressive models in the presence of additive noise 103
When are errors-in-variables aspects particularly important to consider in system identification? 99
Bias Considerations When Identifying Systems from Noisy Input-Output Data - Extensions to General Model Structures 95
Analyzing the parameter bias when an ARMAX model is fitted to noise-corrupted data 84
Analyzing the Parameter Bias when an Instrumental Variable Method is Used with Noise-Corrupted Data 67
Optimal errors-in-variables filtering 19
Algorithms for optimal errors-in-variables filtering 19
Totale 11.954
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Categoria #
all - tutte 27.922
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 27.922
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021313 0 0 0 0 0 0 0 0 0 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
2025/20262.875 239 279 314 195 365 183 371 80 627 222 0 0
Totale 11.954