SOVERINI, UMBERTO
 Distribuzione geografica
Continente #
NA - Nord America 5.682
AS - Asia 3.372
EU - Europa 2.677
AF - Africa 204
Continente sconosciuto - Info sul continente non disponibili 165
SA - Sud America 162
OC - Oceania 4
Totale 12.266
Nazione #
US - Stati Uniti d'America 5.633
SG - Singapore 922
CN - Cina 889
VN - Vietnam 835
IT - Italia 685
GB - Regno Unito 682
DE - Germania 288
HK - Hong Kong 266
FR - Francia 182
UA - Ucraina 181
SE - Svezia 161
IN - India 159
RU - Federazione Russa 154
BR - Brasile 107
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
JO - Giordania 39
CA - Canada 35
AR - Argentina 20
BG - Bulgaria 20
PH - Filippine 20
SC - Seychelles 18
TH - Thailandia 18
CH - Svizzera 17
FI - Finlandia 17
BD - Bangladesh 15
TR - Turchia 15
EC - Ecuador 14
BE - Belgio 13
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
CO - Colombia 6
PK - Pakistan 6
AT - Austria 5
RO - Romania 5
TN - Tunisia 5
TW - Taiwan 5
AU - Australia 4
LU - Lussemburgo 4
MA - Marocco 4
VE - Venezuela 4
AE - Emirati Arabi Uniti 3
CR - Costa Rica 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
DZ - Algeria 2
HU - Ungheria 2
IL - Israele 2
JM - Giamaica 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
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
ZW - Zimbabwe 1
Totale 12.105
Città #
Ann Arbor 1.836
Singapore 661
Southend 573
Santa Clara 418
Fairfield 334
Ashburn 328
Hong Kong 249
Wilmington 229
San Jose 216
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
Milan 50
The Dalles 50
Medford 49
Rome 48
Seoul 47
Abidjan 45
Berlin 44
Amman 39
Buffalo 39
Council Bluffs 37
Haiphong 29
San Diego 29
Saint Petersburg 28
Da Nang 27
New York 24
Jinan 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
Brussels 12
Hangzhou 12
Toronto 12
Chicago 11
Ningbo 11
Falls Church 10
Hebei 10
San Francisco 10
Amsterdam 9
Des Moines 9
Forlì 9
Haikou 9
Jiaxing 9
Montreal 9
Taiyuan 9
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 8.471
Nome #
Sistemi Dinamici - Esercizi commentati e risolti 543
A noise signature approach to fault detection and isolation 265
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 239
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 223
2D-frequency domain identification of complex sinusoids in the presence of additive noise 222
On the use of quasi-positive versus positive state-space models of externally positive discrete-time systems 221
A dual filtering approach in MEMS based dynamic attitude estimation 217
Frisch scheme-based algorithms for EIV identification 216
Blind identification and equalization of multichannel FIR systems in unbalanced noise environments 216
Direction-of-Arrival estimation in nonuniform noise fields: a Frisch scheme approach 216
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 210
Identification of autoregressive models in the presence of additive noise 207
Identification of residual generators for fault detection of linear dynamic models 203
The Frisch scheme in algebraic and dynamic identification problems 203
Identification techniques in VNAV autopilot design for a light sport aircraft 200
Blind identification of two–channel FIR systems: a frequency domain approach 200
Identification of errors-in-variables models with colored output noise 198
Frequency domain identification of complex sinusoids in the presence of additive noise 197
Identification of errors–in–variables models with mutually correlated input and output noises 196
Comparison of three Frisch methods for errors-in-variables identification 194
Identification of ARMAX models with noisy input and output 194
Errors-in-variables based identification of autoregressive parameters for speech enhancement using one microphone 191
Identification of ARX models with noisy input and output 191
A new approach for identifying noisy input-output FIR models 190
Frequency domain identification of FIR models in the presence of additive input–output noise 190
A unified framework for EIV identification methods in the presence of mutually correlated noises 189
Identification of two dimensional complex sinusoids in white noise: a state-space frequency approach 188
2D-frequency domain identification of complex sinusoids in the presence of additive noise 187
Maximum likelihood identification of noisy input-output models 186
Estimating the number of signals in the presence of nonuniform noise 184
Speech enhancement combining optimal smoothing and errors-in-variables identification of noisy AR processes 180
The Frisch scheme in algebraic and dynamic identification problems 179
Some issues on errors-in-variables identification 178
A noise-compensated estimation scheme for AR processes 169
Dereverbering speech and cancelling additive noise as an errors-in-variables interpolation issue 169
A unified framework for EIV identification methods when the measurement noises are mutually correlated 167
Frequency domain maximum likelihood identification of noisy input–output models 165
Frequency domain EIV identification: a Frisch Scheme approach 163
Frequency domain EIV identification combining the Frisch scheme and Yule-Walker equations 162
Identification of ARARX models in presence of additive noise 160
Optimal errors-in-variables filtering in the MIMO case 156
When Are Errors-in-Variables Aspects Important to Consider in System Identification? 155
Errors in Variables Identification using maximum likelihood estimation in the Frequency Domain 154
The Frisch scheme for EIV system identification: time and frequency domain formulations 154
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
Transfer Function Parameter Identification in the Frequency domain 146
FRF parameter identification with arbitrary input sequence from noisy input–output measurements 144
Esercizi di Sistemi Dinamici commentati e risolti 142
The Frisch scheme: time and frequency domain aspects 141
Aspects on errors-in-variables identification: Some ways to mitigate a large bias 139
Identification of errors-in-variables models as a quadratic eigenvalue problem 134
Frequency domain identification of FIR models from noisy input-output data 134
Frequency domain identification of autoregressive models in the presence of additive noise 133
A generalized instrumental variable framework for EIV identification methods when the measurement noises are mutually correlated 116
When are errors-in-variables aspects particularly important to consider in system identification? 104
Frequency domain identification of autoregressive models in the presence of additive noise 103
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 75
Algorithms for optimal errors-in-variables filtering 32
Optimal errors-in-variables filtering 29
Totale 12.266
Categoria #
all - tutte 30.237
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 30.237


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/20222.783 0 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
2025/20263.118 239 279 314 195 365 183 371 80 627 259 126 80
2026/202769 44 25 0 0 0 0 0 0 0 0 0 0
Totale 12.266