<< Chapter < Page Chapter >> Page >

We begin with a property of the null space N N which is at the heart of proving results on instance-optimality.

We say that N N has the Null Space Property if for all η N η in N and all T T with # T k italic "#" T<= k we have η X c 1 η T C X

Intuitively, NSP implies that for any vector in the nullspace the energy will not be concentrated in a small number of entries.

The following are equivalent formulations for NSP X X for k k :

  • η X c 1 σ k ( η )
  • η T X c 1 η T C X where η = η T + η T C .

Note also that the triangle inequality can be used as follows

η X = η T + η T C X η T X + η T C X

which shows that (b) is equivalent to NSP.

  • If ( Φ , Δ ) \( {Φ , Δ} \) is instance optimal on X X for the value k k , then Φ Φ satisfies the NSP for 2 k 2 k on X X with an equivalent constant.
  • If Φ Φ has the NSP for X X and 2 k 2 k then Δ exists Δ s.t. Φ Φ has the instance optimal property for k k .

We will prove a slightly weaker version of this to save time. We first prove that instance optimality for k k implies NSP X X for k k (hence this is slightly weaker than advertised) . Let η N η in N and set z = Δ ( 0 ) z =Δ { \( 0 \)} then

η z c 0 σ k ( η ) η + z c 0 σ k ( η ) η max { η z , η + z } c 0 σ k ( η ) instance optimal property z N triangle inequality

We now prove 2. Suppose Φ Φ has the NSP for 2 k 2 k . Given y y , ( y ) = { x : Φ ( x ) = y } { \( y \)} ={ lbrace {x : Φ { \( x \)} = y} rbrace} . Let us define the decoder Δ Δ by Δ ( y ) : = arg min { σ K ( x ) X : x ( y ) } , then

x Δ ( Φ ( x ) ) X = x x X c 1 σ 2 K ( x x ) c 1 ( σ K ( x ) σ K ( x ) ) specific 2K term approximation 2 c 1 σ K ( x )

QED.

Note that the instance optimal property automatically gives reproduction of K K -sparse signals.

At this stage the challenge is to create Φ Φ with this instance optimal property. For this we shall use the restricted isometry property as introduced earlier and which we now recall.

Get Jobilize Job Search Mobile App in your pocket Now!

Get it on Google Play Download on the App Store Now




Source:  OpenStax, Compressive sensing. OpenStax CNX. Sep 21, 2007 Download for free at http://cnx.org/content/col10458/1.1
Google Play and the Google Play logo are trademarks of Google Inc.

Notification Switch

Would you like to follow the 'Compressive sensing' conversation and receive update notifications?

Ask