How to resolve the algorithm Apply a digital filter (direct form II transposed) step by step in the Scala programming language
How to resolve the algorithm Apply a digital filter (direct form II transposed) step by step in the Scala programming language
Table of Contents
Problem Statement
Digital filters are used to apply a mathematical operation to a sampled signal. One of the common formulations is the "direct form II transposed" which can represent both infinite impulse response (IIR) and finite impulse response (FIR) filters, as well as being more numerically stable than other forms. [1] Filter a signal using an order 3 low-pass Butterworth filter. The coefficients for the filter are a=[1.00000000, -2.77555756e-16, 3.33333333e-01, -1.85037171e-17] and b = [0.16666667, 0.5, 0.5, 0.16666667] The signal that needs filtering is the following vector: [-0.917843918645, 0.141984778794, 1.20536903482, 0.190286794412, -0.662370894973, -1.00700480494, -0.404707073677 ,0.800482325044, 0.743500089861, 1.01090520172, 0.741527555207, 0.277841675195, 0.400833448236, -0.2085993586, -0.172842103641, -0.134316096293, 0.0259303398477, 0.490105989562, 0.549391221511, 0.9047198589] [Wikipedia on Butterworth filters]
Let's start with the solution:
Step by Step solution about How to resolve the algorithm Apply a digital filter (direct form II transposed) step by step in the Scala programming language
Source code in the scala programming language
object ButterworthFilter extends App {
private def filter(a: Vector[Double],
b: Vector[Double],
signal: Vector[Double]): Vector[Double] = {
@scala.annotation.tailrec
def outer(i: Int, acc: Vector[Double]): Vector[Double] = {
if (i >= signal.length) acc
else {
@scala.annotation.tailrec
def inner0(j: Int, tmp: Double): Double = if (j >= b.length) tmp
else if ((i - j) >= 0) inner0(j + 1, tmp + b(j) * signal(i - j)) else inner0(j + 1, tmp)
@scala.annotation.tailrec
def inner1(j: Int, tmp: Double): Double = if (j >= a.length) tmp
else if (i - j >= 0) inner1(j + 1, tmp - a(j) * acc(i - j)) else inner1(j + 1, tmp)
outer(i + 1, acc :+ inner1(1, inner0(0, 0D)) / a(0))
}
}
outer(0, Vector())
}
filter(Vector[Double](1, -2.77555756e-16, 3.33333333e-01, -1.85037171e-17),
Vector[Double](0.16666667, 0.5, 0.5, 0.16666667),
Vector[Double](
-0.917843918645, 0.141984778794, 1.20536903482, 0.190286794412, -0.662370894973,
-1.00700480494, -0.404707073677, 0.800482325044, 0.743500089861, 1.01090520172,
0.741527555207, 0.277841675195, 0.400833448236, -0.2085993586, -0.172842103641,
-0.134316096293, 0.0259303398477, 0.490105989562, 0.549391221511, 0.9047198589)
).grouped(5)
.map(_.map(x => f"$x% .8f"))
.foreach(line => println(line.mkString(" ")))
}
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