CRIS Current Research Information System

SOVERINI, UMBERTO
 Distribuzione geografica
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Continente #
NA - Nord America 5.638
AS - Asia 3.361
EU - Europa 2.662
AF - Africa 203
SA - Sud America 159
Continente sconosciuto - Info sul continente non disponibili 4
OC - Oceania 4
Totale 12.031
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Nazione #
US - Stati Uniti d'America 5.597
SG - Singapore 917
CN - Cina 887
VN - Vietnam 835
GB - Regno Unito 681
IT - Italia 678
DE - Germania 288
HK - Hong Kong 263
FR - Francia 181
UA - Ucraina 181
SE - Svezia 160
IN - India 159
RU - Federazione Russa 154
BR - Brasile 105
NL - Olanda 99
IE - Irlanda 70
JP - Giappone 66
TG - Togo 65
KR - Corea 60
ZA - Sudafrica 53
CI - Costa d'Avorio 45
EE - Estonia 43
JO - Giordania 39
CA - Canada 30
AR - Argentina 20
BG - Bulgaria 20
PH - Filippine 20
TH - Thailandia 18
CH - Svizzera 17
FI - Finlandia 17
SC - Seychelles 17
TR - Turchia 15
BD - Bangladesh 14
EC - Ecuador 14
BE - Belgio 12
ES - Italia 12
ID - Indonesia 11
IQ - Iraq 10
PL - Polonia 8
GR - Grecia 7
MX - Messico 7
MY - Malesia 7
SA - Arabia Saudita 7
CL - Cile 6
PK - Pakistan 6
AT - Austria 5
CO - Colombia 5
RO - Romania 5
TN - Tunisia 5
TW - Taiwan 5
AU - Australia 4
MA - Marocco 4
VE - Venezuela 4
AE - Emirati Arabi Uniti 3
EG - Egitto 3
EU - Europa 3
HR - Croazia 3
KE - Kenya 3
LT - Lituania 3
MD - Moldavia 3
SK - Slovacchia (Repubblica Slovacca) 3
UZ - Uzbekistan 3
YE - Yemen 3
AL - Albania 2
AZ - Azerbaigian 2
CR - Costa Rica 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
CZ - Repubblica Ceca 1
DK - Danimarca 1
JM - Giamaica 1
KH - Cambogia 1
KZ - Kazakistan 1
LA - Repubblica Popolare Democratica del Laos 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 12.031
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Città #
Ann Arbor 1.836
Singapore 657
Southend 573
Santa Clara 414
Fairfield 334
Ashburn 327
Hong Kong 247
Wilmington 229
San Jose 215
Chandler 201
Ho Chi Minh City 171
Hefei 170
Hanoi 164
Woodbridge 157
Houston 125
Princeton 125
Bologna 121
Jacksonville 120
Seattle 120
Boardman 102
Cambridge 98
Dong Ket 98
Beijing 95
Dublin 69
Lomé 64
Nanjing 63
Lauterbourg 58
Tokyo 57
Westminster 57
Los Angeles 54
Padova 52
The Dalles 50
Medford 49
Milan 49
Seoul 47
Abidjan 45
Berlin 44
Rome 44
Amman 39
Buffalo 39
Council Bluffs 34
Haiphong 29
San Diego 29
Saint Petersburg 28
Da Nang 27
Jinan 23
New York 23
Redwood City 23
Nanchang 22
Mülheim 21
Tianjin 21
Cesena 20
Dallas 20
Sofia 20
Changsha 19
Redondo Beach 19
Shanghai 19
Zhengzhou 19
Shenyang 18
Fremont 17
Naples 17
Guangzhou 14
Helsinki 14
Hải Dương 14
Mahé 14
Phoenix 14
Yubileyny 14
Bern 13
Dearborn 13
Florence 13
Frankfurt am Main 13
London 13
Redmond 13
Bengaluru 12
Hangzhou 12
Brussels 11
Chicago 11
Ningbo 11
Toronto 11
Falls Church 10
Hebei 10
San Francisco 10
Amsterdam 9
Des Moines 9
Forlì 9
Haikou 9
Jiaxing 9
Taiyuan 9
Montreal 8
São Paulo 8
Bangkok 7
Biên Hòa 7
Bühl 7
Can Tho 7
Fuzhou 7
Paris 7
Salerno 7
Taizhou 7
Trieste 7
Turin 7
Totale 8.447
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Nome #
Sistemi Dinamici - Esercizi commentati e risolti 540
A noise signature approach to fault detection and isolation 264
Kalman filtering in extended noise environments 258
A new estimation approach for AR models in presence of noise 245
Blind identification and equalization of two-channel FIR systems in unbalanced noise environments 244
Identification of ARX and ARARX models in the presence of input and output noises 235
Identification of ARMAX models with additive output noise 229
A new optimal smoothing approach for AR + noise models and application to single-microphone speech enhancement 224
Errors-in-variables identification using maximum likelihood estimation in the frequency domain 222
On the use of quasi-positive versus positive state-space models of externally positive discrete-time systems 221
2D-frequency domain identification of complex sinusoids in the presence of additive noise 221
Frisch scheme-based algorithms for EIV identification 216
A dual filtering approach in MEMS based dynamic attitude estimation 216
Blind identification and equalization of multichannel FIR systems in unbalanced noise environments 215
Direction-of-Arrival estimation in nonuniform noise fields: a Frisch scheme approach 214
Frequency domain identification of ARX models in the presence of additive input-output noise 212
Yule-Walker equations in the Frisch scheme solution of errors-in-variables identification problems 209
Identification of autoregressive models in the presence of additive noise 207
The Frisch scheme in algebraic and dynamic identification problems 202
Identification of residual generators for fault detection of linear dynamic models 200
Identification techniques in VNAV autopilot design for a light sport aircraft 200
Blind identification of two–channel FIR systems: a frequency domain approach 198
Frequency domain identification of complex sinusoids in the presence of additive noise 197
Identification of errors-in-variables models with colored output noise 196
Comparison of three Frisch methods for errors-in-variables identification 194
Identification of errors–in–variables models with mutually correlated input and output noises 194
Identification of ARMAX models with noisy input and output 193
Errors-in-variables based identification of autoregressive parameters for speech enhancement using one microphone 190
Identification of ARX models with noisy input and output 190
A new approach for identifying noisy input-output FIR models 190
A unified framework for EIV identification methods in the presence of mutually correlated noises 189
Frequency domain identification of FIR models in the presence of additive input–output noise 189
Identification of two dimensional complex sinusoids in white noise: a state-space frequency approach 187
2D-frequency domain identification of complex sinusoids in the presence of additive noise 186
Maximum likelihood identification of noisy input-output models 186
Estimating the number of signals in the presence of nonuniform noise 182
The Frisch scheme in algebraic and dynamic identification problems 179
Speech enhancement combining optimal smoothing and errors-in-variables identification of noisy AR processes 179
Some issues on errors-in-variables identification 178
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 166
Frequency domain maximum likelihood identification of noisy input–output models 163
Frequency domain EIV identification: a Frisch Scheme approach 162
Frequency domain EIV identification combining the Frisch scheme and Yule-Walker equations 161
Identification of ARARX models in presence of additive noise 158
Optimal errors-in-variables filtering in the MIMO case 156
The Frisch scheme for EIV system identification: time and frequency domain formulations 154
Errors in Variables Identification using maximum likelihood estimation in the Frequency Domain 153
Identification of two-dimensional complex sinusoids in white noise: a state-space frequency approach 152
A note on the estimation of real- and complex-valued parameters in frequency domain maximum likelihood identification 152
When Are Errors-in-Variables Aspects Important to Consider in System Identification? 150
Transfer Function Parameter Identification in the Frequency domain 144
FRF parameter identification with arbitrary input sequence from noisy input–output measurements 142
Esercizi di Sistemi Dinamici commentati e risolti 140
The Frisch scheme: time and frequency domain aspects 140
Aspects on errors-in-variables identification: Some ways to mitigate a large bias 138
Identification of errors-in-variables models as a quadratic eigenvalue problem 133
Frequency domain identification of FIR models from noisy input-output data 133
Frequency domain identification of autoregressive models in the presence of additive noise 132
A generalized instrumental variable framework for EIV identification methods when the measurement noises are mutually correlated 116
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? 102
Bias Considerations When Identifying Systems from Noisy Input-Output Data - Extensions to General Model Structures 102
Analyzing the parameter bias when an ARMAX model is fitted to noise-corrupted data 89
Analyzing the Parameter Bias when an Instrumental Variable Method is Used with Noise-Corrupted Data 74
Algorithms for optimal errors-in-variables filtering 27
Optimal errors-in-variables filtering 23
Totale 12.192
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Categoria #
all - tutte 29.392
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 29.392
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021209 0 0 0 0 0 0 0 0 0 0 0 209
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
2025/20263.113 239 279 314 195 365 183 371 80 627 259 126 75
Totale 12.192