- DoubtingThomas DIFICIL MEZCLA Artwork
DoubtingThomas DIFICIL MEZCLA
DoubtingThomas on September 22, 2012 16:56 - DoubtingThomas Live @ ToiToi 17 08 12 Artwork
DoubtingThomas Live @ ToiToi 17 08 12
DoubtingThomas on August 18, 2012 06:33 - DoubtingThomas "The changes" Artwork
DoubtingThomas "The changes"
DoubtingThomas on June 23, 2011 07:27
About
Contact/info/Bookings:
etienne@lessizmore.com
On tour:
2013:
16 Feb: New Dutch School // Clubnight 7 at Willemeen (NH)
27 feb: The Shelter London (UK)
1 March: Tresor Berlin (GR)
6 march: Juntos London (uk)
22 march : Cartulis day London (uk)
6 april: Lesszimore 7 years Showcase London @ Unleashed (UK)
3 Mai: Released into the wild New york (Us)
18 Mai: Daze @ International film festival Cannes (FR)
2 june: LA ruche lausane (SZ)
7 June: Echo festival Croatia
27 june : BErn (SZ) TBC
22 Jully : London (UK) TBA
30 Sept : London (UK) TBA
Record Labels:
LessIzmo:r
Little Helpers
Soul jazz Records
Igloo
Safari Electronique
HummingBirds
Metroline Ltd
Organic Music
Mean/Serialism
Multivitamins
31337
Unfoundsound
Contact/info/Bookings:
etienne@lessizmore.com
Europe & World wide:
Ive Secret Agent:
ivepin@saww.me
Contact/enquiries:
doubtingthomas.ar@gmail.com
MUSIC algorithmIn many practical signal processing problems, the objective is to estimate from measurements a set of constant parameters upon which the received signals depend. There have been several approaches to such problems including the so-called maximum likelihood (ML) method of Capon (1969) and Burg's maximum entropy (ME) method. Although often successful and widely used, these methods have certain fundamental limitations (especially bias and sensitivity in parameter estimates), largely because they use an incorrect model (e.g., AR rather than special ARMA) of the measurements. Pisarenko (1973) was one of the first to exploit the structure of the data model, doing so in the context of estimation of parameters of cisoids in additive noise using a covariance approach. Schmidt (1977), while working at ESL (now part of Northrop Grumman) and independently Bienvenu (1979) currently accepted high-resolution algorithms, MUSIC was the most promising and a leading candidate for further study and actual hardware implementation. However, although the performance advantages of MUSIC are substantial, they are achieved at a cost in computation (searching over parameter space) and storage (of array calibration data).