CREATE WAVEFORMS WITH THE FOURIER SERIES

A SUM OF SINES AND COSINES

I've always been intrigued with the Fourier Series theory. It says you can generate strange and wonderful waveforms (square, triangle, etc.) simply by summing sine and cosine waveforms together! Mathematically, that looks like this

y(t) = a0  +  a1·cos(2·π·fo·t) + a2·cos(2·π·2·fo·t) + a3·cos(2·π·3·fo·t) + ... +
                    b1·sin(2·π·fo·t) + b2·sin(2·π·2·fo·t) + b3·sin(2·π·3·fo·t) + ...

where

a0 - the DC offset.
a1 - scales how much of the fundamental frequency fo of a cosine is added to the waveform.
a2 - scales how much of the 2nd harmonic (2*fo) of the cosine is added
a3 - scales the 3rd harmonic (3*fo).
b1, b2, b3 - scale the sine wave components added to the waveform.

In a compact form, the series looks like

y(t) = a0  +  Σ  an·cos(2·π·fo·n t) + Σ  bn·sin(2·π·fo·n t)

where Σ simply means sum all the terms for n=1 to ∞.

Let's write a simple VBA function to help us play with waveforms via the Fourier Series. You can download the file Fourier_Series.xlsm. (Also see VBA Basics and other VBA Topics).

In the file, you first enter the fundamental frequency (fo) and number of Fourier terms (n) you want to use in the waveform creation. You also need a time increment (dT) so you can create a time variable. Lastly, the actual Fourier coefficients are placed in a 2D table. The term a0 represents the DC offset (bn is not used.)

The time column t is generated by adding dT to the previous sample.

The actual waveform Vo gets created by the function
    = FourSeries( t, ntot , Coeff Table, fo ).

Using actual cell references, it looks like
    = FourSeries(A31,$B$13,$B$16:$C$26,$B$12).

Notice you pass the entire range of cells holding coefficients a0 through b10 to the function using $B$16:$C$26. However, you specify how many terms to actually use via the parameter ntot.

THE FOURIER SERIES FUNCTION

Here's the VBA code that creates the waveform based on the Fourier coefficients. To see the VBA code, hit ALT-F11 and double click on the Modules > Module1 in the VBA Project window. This opens the code window for this module.

First, we'll get the row and column location of the coefficient table. The range of cells for the table is passed to the variable FCoeff. VBA has two handy properties ( *.Row and *.Col ) that returns the Row and Column of a single cell, or the first cell in a range of cells.

   R = FCoeff.Row ' get start pos of coeff table
   C = FCoeff.Column

Now, have the values R = 16 and C = 2. This allows us to get the a0 coefficient using the Cells( ) property.

   a0 = Cells(R, C) ' get DC offset

We'll initialize the waveform (variable y) with the DC offset. Finally, we'll create a loop that sums together the sine and cosine waves at the fundamental frequency fo and higher harmonics fo*n up to n=ntot. Notice, we get the an, bn coefficients for each value of n using the Cells( ) property along with R and C.

  For n = 1 To ntot

   ' Get Fourier Coeff for frequency n*fo
   an = Cells(R + n, C)
   bn = Cells(R + n, C + 1)

   ' Sum the sine and cosine using Fourier coeff as scale factors
   y = y + an*Cos(2*3.1415*(fo*n)*t) + bn*Sin(2*3.1415*(fo*n)*t)

  Next n

Finally, we'll pass the waveform value y calculated at time t to the name FourSeries to be returned by the function.

WAVEFORMS

Check out the "Waveform Coeff" sheet for Square and Sawtooth coefficients.

Okay, let's start creating some waveforms. To generate a square wave, enter the bn coefficients below.

As you enter each coefficient, you can see the waveform start approaching the shape of a square wave.

To create a sawtooth waveform, simply go to the bn column and enter 1/n for each of the terms: 1, 1/2, 1/3 and so on.

Here are some other sine type waveforms to try.

• Sine signal: a1 = 0,   b1= 1
• Inverted Sine: a1 = 0,   b1= -1
• Cosine: a1 = 1,   b1= 0
• Cosine w/ -45 deg shift: a1= 0.707,   b1= 0.707

Also try varying some other parameters.

• Change fundamental frequency fo to 200.
• Change sampling period to 0.0002 or 0.00005.
• Change DC Offset (a0) to 5
• Add random values to harmonic terms 0 through 10.

In another topic we'll learn how to perform Fourier Analysis. This analysis does the opposite of the Fourier Series. It takes an arbitrary waveform and then extracts the Fourier Coefficients.

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