SOVERINI, UMBERTO
 Distribuzione geografica
Continente #
NA - Nord America 5.926
AS - Asia 3.401
EU - Europa 2.688
AF - Africa 204
SA - Sud America 174
Continente sconosciuto - Info sul continente non disponibili 165
OC - Oceania 4
Totale 12.562
Nazione #
US - Stati Uniti d'America 5.858
SG - Singapore 924
CN - Cina 892
VN - Vietnam 836
IT - Italia 695
GB - Regno Unito 682
DE - Germania 288
HK - Hong Kong 271
FR - Francia 182
UA - Ucraina 181
SE - Svezia 161
IN - India 159
RU - Federazione Russa 154
BR - Brasile 110
NL - Olanda 100
IE - Irlanda 70
JP - Giappone 66
TG - Togo 65
KR - Corea 60
ZA - Sudafrica 53
CI - Costa d'Avorio 45
EE - Estonia 43
CA - Canada 42
JO - Giordania 39
PH - Filippine 24
AR - Argentina 21
BG - Bulgaria 20
TH - Thailandia 20
SC - Seychelles 18
CH - Svizzera 17
EC - Ecuador 17
FI - Finlandia 17
ID - Indonesia 17
BD - Bangladesh 16
TR - Turchia 15
BE - Belgio 13
ES - Italia 12
IQ - Iraq 10
MX - Messico 10
MY - Malesia 9
GR - Grecia 8
PL - Polonia 8
CL - Cile 7
CO - Colombia 7
CR - Costa Rica 7
SA - Arabia Saudita 7
VE - Venezuela 7
PK - Pakistan 6
AT - Austria 5
RO - Romania 5
TN - Tunisia 5
TW - Taiwan 5
AU - Australia 4
LU - Lussemburgo 4
MA - Marocco 4
AE - Emirati Arabi Uniti 3
EG - Egitto 3
EU - Europa 3
HR - Croazia 3
IL - Israele 3
JM - Giamaica 3
KE - Kenya 3
LT - Lituania 3
MD - Moldavia 3
SK - Slovacchia (Repubblica Slovacca) 3
UZ - Uzbekistan 3
YE - Yemen 3
AL - Albania 2
AM - Armenia 2
AZ - Azerbaigian 2
DZ - Algeria 2
HN - Honduras 2
HU - Ungheria 2
LB - Libano 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
BY - Bielorussia 1
CZ - Repubblica Ceca 1
DK - Danimarca 1
GD - Grenada 1
GT - Guatemala 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
SV - El Salvador 1
ZW - Zimbabwe 1
Totale 12.401
Città #
Ann Arbor 1.836
Singapore 663
Southend 573
Santa Clara 421
Ashburn 349
Fairfield 334
Hong Kong 254
Wilmington 229
San Jose 228
Chandler 201
Ho Chi Minh City 172
Hefei 170
Hanoi 164
Woodbridge 157
Houston 126
Princeton 125
Bologna 123
Jacksonville 121
Seattle 120
Council Bluffs 106
Boardman 104
Cambridge 98
Dong Ket 98
Beijing 95
Dublin 69
Nanjing 65
Lomé 64
Lauterbourg 58
Los Angeles 58
Tokyo 57
Westminster 57
Padova 52
Milan 50
The Dalles 50
Medford 49
Rome 48
Seoul 47
Abidjan 45
Berlin 44
Buffalo 40
Amman 39
New York 33
Haiphong 29
San Diego 29
Saint Petersburg 28
Da Nang 27
Jinan 23
Redwood City 23
Nanchang 22
Dallas 21
Mülheim 21
Tianjin 21
Cesena 20
Sofia 20
Changsha 19
Redondo Beach 19
Shanghai 19
Zhengzhou 19
Shenyang 18
Fremont 17
Naples 17
Phoenix 16
Chicago 15
Guangzhou 14
Helsinki 14
Hải Dương 14
Mahé 14
Yubileyny 14
Bern 13
Dearborn 13
Florence 13
Frankfurt am Main 13
London 13
Redmond 13
Toronto 13
Bengaluru 12
Brussels 12
Hangzhou 12
Ningbo 11
Des Moines 10
Falls Church 10
Hebei 10
San Francisco 10
Amsterdam 9
Bangkok 9
Forlì 9
Haikou 9
Jiaxing 9
Montreal 9
Taiyuan 9
São Paulo 8
Biên Hòa 7
Bühl 7
Can Tho 7
Fuzhou 7
Kuala Lumpur 7
Paris 7
Salerno 7
San José 7
Taizhou 7
Totale 8.617
Nome #
Sistemi Dinamici - Esercizi commentati e risolti 551
A noise signature approach to fault detection and isolation 272
Kalman filtering in extended noise environments 261
Blind identification and equalization of two-channel FIR systems in unbalanced noise environments 252
A new estimation approach for AR models in presence of noise 247
Identification of ARX and ARARX models in the presence of input and output noises 245
Identification of ARMAX models with additive output noise 233
Errors-in-variables identification using maximum likelihood estimation in the frequency domain 233
A new optimal smoothing approach for AR + noise models and application to single-microphone speech enhancement 230
On the use of quasi-positive versus positive state-space models of externally positive discrete-time systems 227
A dual filtering approach in MEMS based dynamic attitude estimation 225
Direction-of-Arrival estimation in nonuniform noise fields: a Frisch scheme approach 222
2D-frequency domain identification of complex sinusoids in the presence of additive noise 222
Frisch scheme-based algorithms for EIV identification 221
Blind identification and equalization of multichannel FIR systems in unbalanced noise environments 221
Yule-Walker equations in the Frisch scheme solution of errors-in-variables identification problems 217
Frequency domain identification of ARX models in the presence of additive input-output noise 215
Identification of autoregressive models in the presence of additive noise 212
Identification of residual generators for fault detection of linear dynamic models 208
Identification techniques in VNAV autopilot design for a light sport aircraft 207
The Frisch scheme in algebraic and dynamic identification problems 207
Blind identification of two–channel FIR systems: a frequency domain approach 207
Identification of errors–in–variables models with mutually correlated input and output noises 202
Identification of errors-in-variables models with colored output noise 200
Frequency domain identification of complex sinusoids in the presence of additive noise 200
Errors-in-variables based identification of autoregressive parameters for speech enhancement using one microphone 199
Comparison of three Frisch methods for errors-in-variables identification 199
Identification of ARMAX models with noisy input and output 195
A new approach for identifying noisy input-output FIR models 195
Identification of two dimensional complex sinusoids in white noise: a state-space frequency approach 195
Identification of ARX models with noisy input and output 194
Frequency domain identification of FIR models in the presence of additive input–output noise 193
A unified framework for EIV identification methods in the presence of mutually correlated noises 192
2D-frequency domain identification of complex sinusoids in the presence of additive noise 190
Maximum likelihood identification of noisy input-output models 190
Estimating the number of signals in the presence of nonuniform noise 187
Some issues on errors-in-variables identification 185
Speech enhancement combining optimal smoothing and errors-in-variables identification of noisy AR processes 185
The Frisch scheme in algebraic and dynamic identification problems 183
A noise-compensated estimation scheme for AR processes 176
Dereverbering speech and cancelling additive noise as an errors-in-variables interpolation issue 174
A unified framework for EIV identification methods when the measurement noises are mutually correlated 170
Identification of ARARX models in presence of additive noise 170
Frequency domain maximum likelihood identification of noisy input–output models 168
Frequency domain EIV identification: a Frisch Scheme approach 164
Frequency domain EIV identification combining the Frisch scheme and Yule-Walker equations 163
Errors in Variables Identification using maximum likelihood estimation in the Frequency Domain 161
When Are Errors-in-Variables Aspects Important to Consider in System Identification? 159
Optimal errors-in-variables filtering in the MIMO case 159
Identification of two-dimensional complex sinusoids in white noise: a state-space frequency approach 155
A note on the estimation of real- and complex-valued parameters in frequency domain maximum likelihood identification 155
The Frisch scheme for EIV system identification: time and frequency domain formulations 155
FRF parameter identification with arbitrary input sequence from noisy input–output measurements 151
Transfer Function Parameter Identification in the Frequency domain 150
Esercizi di Sistemi Dinamici commentati e risolti 148
Aspects on errors-in-variables identification: Some ways to mitigate a large bias 143
The Frisch scheme: time and frequency domain aspects 143
Identification of errors-in-variables models as a quadratic eigenvalue problem 137
Frequency domain identification of autoregressive models in the presence of additive noise 137
Frequency domain identification of FIR models from noisy input-output data 136
A generalized instrumental variable framework for EIV identification methods when the measurement noises are mutually correlated 119
Frequency domain identification of autoregressive models in the presence of additive noise 106
When are errors-in-variables aspects particularly important to consider in system identification? 105
Bias Considerations When Identifying Systems from Noisy Input-Output Data - Extensions to General Model Structures 105
Analyzing the parameter bias when an ARMAX model is fitted to noise-corrupted data 91
Analyzing the Parameter Bias when an Instrumental Variable Method is Used with Noise-Corrupted Data 77
Optimal errors-in-variables filtering 34
Algorithms for optimal errors-in-variables filtering 32
Totale 12.562
Categoria #
all - tutte 31.390
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 31.390


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/20222.396 0 0 0 308 379 274 303 282 320 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
2025/20263.118 239 279 314 195 365 183 371 80 627 259 126 80
2026/2027365 44 94 191 36 0 0 0 0 0 0 0 0
Totale 12.562