SamplingMatrices

The fundamental sampling matrices. See "Multidimension filter banks and multiscale geometric representations," Do and Lu, Foundations and Trends in Signal Processing, 2011.

Note that the names here correspond to those in the Matlab code, not the paper. Here's the mapping:

paper       code (matlab and here)

 Q0           Q1
 Q1           Q2
 R0           R1
 R1           R2
 R2           R3
 R3           R4

 D1           D1
 D2           D2

the same as Q1 in the Matlab code).

Linear Supertypes

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val D1: Matrix

Dyadic row subsampling matrix 1, eqn 3.19
val D2: Matrix

Dyadic column subsampling matrix 2, eqn 3.19
val I2: Matrix

Conventional grid upsampling.
val P1: Matrix
val P2: Matrix
val P3: Matrix
val P4: Matrix
val Q1: Matrix

Quincunx subsampling matrix 0, eqn 3.3
val Q2: Matrix

Quincunx subsampling matrix 1, eqn 3.4
val R1: Matrix

Shearing matrix 0, eqn 3.17
val R2: Matrix

Shearing matrix 1, eqn 3.17
val R3: Matrix

Shearing matrix 2, eqn 3.17
val R4: Matrix

Shearing matrix 3, eqn 3.17
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Related Doc: package contourlets

object SamplingMatrices

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

val D1: Matrix

val D2: Matrix

val I2: Matrix

val P1: Matrix

val P2: Matrix

val P3: Matrix

val P4: Matrix

val Q1: Matrix

val Q2: Matrix

val R1: Matrix

val R2: Matrix

val R3: Matrix

val R4: Matrix

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

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