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#' ---
#' title : FIR filter design with Julia
#' author : Matti Pastell
#' date : 21th April 2016
#' ---
#' # Introduction
#' This an example of a julia script that can be published using
#' [Weave](http://mpastell.github.io/Weave.jl/latest/usage/).
#' The script can be executed normally using Julia
#' or published to HTML or pdf with Weave.
#' Text is written in markdown in lines starting with "`#'` " and code
#' is executed and results are included in the published document.
#' Notice that you don't need to define chunk options, but you can using
#' `#+`. just before code e.g. `#+ term=True, caption='Fancy plots.'`.
#' If you're viewing the published version have a look at the
#' [source](FIR_design.jl) to see the markup.
#' # FIR Filter Design
#' We'll implement lowpass, highpass and ' bandpass FIR filters. If
#' you want to read more about DSP I highly recommend [The Scientist
#' and Engineer's Guide to Digital Signal
#' Processing](http://www.dspguide.com/) which is freely available
#' online.
#' ## Calculating frequency response
#' DSP.jl package doesn't (yet) have a method to calculate the
#' the frequency response of a FIR filter so we define it:
using Gadfly, DSP
function FIRfreqz(b::Array, w = range(0, stop=π, length=1024))
n = length(w)
h = Array{ComplexF32}(n)
sw = 0
for i = 1:n
for j = 1:length(b)
sw += b[j]*exp(-im*w[i])^-j
end
h[i] = sw
sw = 0
end
return h
end
#' ## Design Lowpass FIR filter
#' Designing a lowpass FIR filter is very simple to do with DSP.jl, all you
#' need to do is to define the window length, cut off frequency and the
#' window. We will define a lowpass filter with cut off frequency at 5Hz for a signal
#' sampled at 20 Hz.
#' We will use the Hamming window, which is defined as:
#' $w(n) = \alpha - \beta\cos\frac{2\pi n}{N-1}$, where $\alpha=0.54$ and $\beta=0.46$
fs = 20
f = digitalfilter(Lowpass(5, fs = fs), FIRWindow(hamming(61)))
w = range(0, stop=pi, length=1024)
h = FIRfreqz(f, w)
#' ## Plot the frequency and impulse response
#' The next code chunk is executed in term mode, see the [script](FIR_design.jl) for syntax.
#+ term=true
h_db = log10(abs.(h));
ws = w/pi*(fs/2)
#+
plot(y = h_db, x = ws, Geom.line,
Guide.xlabel("Frequency (Hz)"), Guide.ylabel("Magnitude (db)"))
#' And again with default options
h_phase = unwrap(-atan(imag(h),real(h)))
plot(y = h_phase, x = ws, Geom.line,
Guide.xlabel("Frequency (Hz)"), Guide.ylabel("Phase (radians)"))