Sound Department & Public Works Present:
Andrey Pushkarev (Luck of Access, Russia)
Doubtingthomas Live (Eastenderz)
+ Martin Aquino (One Records / Sound Department)
+ Eugenia (US / IT, A+!)
+ Alex Blackstock (Diacritic Collective)
main room / funktion one sound.
Andre Pushkarev bio
Andrey Pushkarev continues to move floors with a combination of profound musical knowledge, unique professionalism, and a meticulously gathered vinyl collection. His exquisite taste, sharp skills at the decks, and uncompromising nature have won him a great deal of respect and admiration as a committed promoter of quality music.
The subtle charm of his mixes encourage a reflective, ruminative headspace; a sound which focuses on creating moods, all the while emphasizing the human aspect of music. His firm attitude at the decks masks an unquestioning exploration of the power of spatiality in which every track is given breathing room, and accordingly, takes on a sense of the organic.
It's a work of architectural, structural, and musical genius, ranging from deep and sensitive melodic techno, to soul-beating house grooves, creating a synesthetic aura that is almost as powerful as his record selection. A journey towards the endless pursuit of artistic truth.
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).