Na het downloaden van de ASN Filter Designer willen de meeste mensen gewoon met de tool spelen, om een gevoel te krijgen of het voor hen werkt. Maar hoe ga je aan de slag met de ASN Filter Designer? Op basis van goede gebruikersfeedback wordt ASNFD v4.4 nu geleverd met het UI experience 2020-pakket. Dit pakket bevat gedetailleerde coachingstips, een verbeterde gebruikerservaring en stap-voor-stap instructies om je op weg te helpen met je ontwerp.

Een snel overzicht van de ASN Filter Designer v4.4 vindt je hieronder, een geweldige tool voorDSP IIR/FIR digitaal filterdesign!

De ASN Filter Designer heeft een snelle, intuïtieve gebruikersinterface. Ontwerp interactief, valideer en implementeer jouw uw digitale filter binnen enkele minuten in plaats van uren. Het kan echter moeilijk zijn om een eerste begin te maken met DSP-filterontwerp, vooral wanneer je geen diepgaande kennis hebt van digitale signaalverwerking. De meeste mensen willen gewoon experimenteren met een tool om een gevoel te krijgen of het voor hen werkt (ja, natuurlijk zijn er tutorials en video’s). Maar waar begin je dan?

Start onmiddellijk met experimenteren met het filterontwerp

Daarom hebben we het UI Experience 2020-pakket ontwikkeld. Op basis van de feedback van de gebruikers hebben we gedetailleerde tooltips en animaties van de belangrijkste functionaliteiten gemaakt. Binnen enkele minuten krijgt u een kickstart in functionaliteiten zoals chart zoom, panning en design markers.

Coachingstips, verbeterde gebruikerservaring, stap-voor-stap instructies

Gebaseerd op de feedback van de gebruiker bevat het UI Experience 2020-pakket:

• Uitgebreide coachingtips
• Gedetailleerde uitleg over ontwerpmethoden en soorten filters
• Verbeterde gebruikerservaring:
  • cursors
  • animaties
  • visuele effecten
• Links naar gedetailleerde werkende oplossingen, tutorials en stap-voor-stap instructies

De feedback van de gebruikersgemeenschap is zeer positief! Door het verstrekken van gedetailleerde tooltips en animaties van de belangrijkste functionaliteit, is de eerste stap van het ontwerpen van een filter met jouw gewenste specificaties aanzienlijk vereenvoudigd.

Begin dus meteen met de ASN Filterontwerper en bespaar tot 75% op jouw ontwikkelingskosten!

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Matlab is a well-established numerical computing language developed by the Mathworks that allows for the design of algorithms, matrix data manipulations and data analysis. The product offers a broad range of algorithms and support functions for signal processing applications, and as such is very popular amongst many scientists and engineers worldwide.

ASN Filter Designer automatic code generator for Matlab

The ASN Filter Designer greatly simplifies exporting a designed filter to Matlab via its automatic code generator. The code generator supports all aspects of the ASN Filter Designer, allowing for a complete design comprised of H1, H2 and H3 filters and math operators to be fully integrated with an algorithm in Matlab.

The Matlab code generator can be accessed via the filter summary options (as shown on the right). Selecting this option will automatically generate a Matlab .m file based on the current design.

Version 5 of the tool has a completely revamped filter summary UI, and now includes built in AI to analyse the filter cascade for any potential problems.  The project wizard bundles all of the necessary SDK framework files needed to run the designed filter cascade without the need for any other dependencies or 3^rd party plugins.

Framework files and examples

In order to use the generated code in Matlab without the need for Signal Processing Toolbox, the following three framework files are provided in the ASN Filter Designer’s \Matlab directory:

ASNFDMatlabFilterData.m
ASNFDMatlabImport.m
ASNFDFilter.m

These framework files do not have any special Matlab toolbox dependences, and the example script ASNFDMatlabDemo.m demonstrates the simplicity with which the framework can be integrated into your application for your designed filter. Several example filters generated via the automatic code generator are given within ASNFDMatlabDemo.m in order to get you going!

An example of the summary of all of generated files (including the framework files) is shown below.

These files can be used directly in your Matlab/Octave project.

Comparing the results to Matlab’s Signal Processing Toolbox

It’s sometimes informative to compare the results of the ASN Filter Designer’s DSP library functions to that of Matlab’s Signal Processing Toolbox.

Designing an IIR Chebyshev Type I filter with the following specifications:

Graphically entering the specifications into the ASN Filter Designer, and fine tuning the design marker positions, the tool automatically designs the filter as a Biquad cascade. Notice that the tool automatically finds the required filter order, and in essence – automatically produces the filter’s exact technical specification!

The frequency response of a 5th order IIR Chebyshev Type I lowpass filter meeting the specifications is shown below:

The resulting filter coefficients are:

Designing the same filter in Matlab using Signal Processing Toolbox:

Fs=500;
Rp=0.1;
Rs=80;
F=2*[25,125]/Fs;

[N,Wn]=cheb1ord(F(1),F(2),Rp,Rs)
[z, p, k] = cheby1(N,Rp,Wn,'low'); % design lowpass

[sos,g]=zp2sos(z,p,k,'up')  % generate SOS form

Running the script, we get the following, where each row of sos is a biquad arranged as: b0 b1 b2 a0 a1 a2

Analysing both sets of numerator and denominator coefficients, we get exactly the same result! But what about the gain? Matlab outputs a net gain, g = 3.0096e-05 but the ASN Filter Designer optimally assigns a gain to each biquad. Thus, combining the biquad section gains, i.e. 0.078643, 0.013823 and 0.027685 results in a net gain of 3.0096e-05, which is exactly the same net gain as Matlab!

Conclusion: the ASN Filter Designer’s DSP IIR library functions completely match Matlab’s Signal Processing Toolbox results!!

The complete automatically generated code is shown below, where it can be seen that the biquad gains have been pre-multiplied with the feedforward coefficients.

Using the generated code with Signal Processing Toolbox

If you have Signal Processing Toolbox installed, then you may directly use the generated coefficients given in SOS with the sosfilt() command, e.g.

Clear all;

ASNFD_SOS=[ 0.07864301814, 0.07864301814, 0.00000000000, 1.00000000000,-0.84271396371, 0.00000000000;...
 0.01382289248, 0.02764578495, 0.01382289248, 1.00000000000,-1.70536517618, 0.76065674608;...
 0.02768538360, 0.05537076720, 0.02768538360, 1.00000000000,-1.79181447713, 0.90255601154;...
];

y=sosfilt(ASNFD_SOS, x); %  x is your input data

plot(x,y); % plot results

As seen, it is as simple as copying and pasting the filter coefficients from the ASN Filter Designer’s filter summary into a Matlab script.

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Less known, is that 80% of IoT devices are based around Arm’s Cortex-M microcontroller technology. Sometimes clients ask us if we support their Arm Cortex-M based demo-board of choice. The answer is simply: yes!

200+ IC vendors supported

The ASN Filter Designer has an automatic code generator for Arm Cortex-M cores, which means that we support virtually every Arm based demo-board: ST, Cypress, NXP, Analog Devices, TI, Microchip/Atmel and over 200+ other manufacturers. Our compatibility with Arm’s free CMSIS-DSP software framework removes the frustration of implementing complicated digital filters in your IoT application – leaving you with code that is optimal for Cortex-M devices and that works 100% of the time.

The Arm Cortex-M family of microcontrollers are an excellent match for IoT applications. Some of the advantages include:

• Low power and cost – essential for IoT devices
• Microcontroller with DSP functionality all-in-one
• Embedded hardware security functionality
• Cortex-M4 and M7 cores with hardware floating support (enhanced microcontrollers)
• Freely available CMSIS-DSP C library: supporting over 60 signal processing functions

Automatic code generation for Arm’s CMSIS-DSP software framework

Simply load your sensor data into the ASN Filter Designer signal analyser and perform a detailed analysis. After identifying the wanted and unwanted components of your signal, design a filter and test the performance in real-time on your test data. Export the designed design to Arm MDK, C/C++ or integrate the filter into your algorithm in another domain, such as in Matlab, Python, Scilab or Labview.

Use the tool in your RAD (rapid application development) process, by taking advantage of the automatic code generation to Arm’s CMSIS-DSP software framework, and quickly integrate the DSP filter code into your main application code.

Let the tool analyse your design, and automatically generate fully compliant code for either the M0, M0+, M3, M4 and the newer M23 and M33 Cortex cores. Deploy your design within minutes rather than hours.

Proud Arm knowledge partner

We are proud that we are an Arm knowledge partner! As an Arm DSP knowledge partner, we will be kept informed of their product roadmap and progress for the coming years.

Try it for yourself and see the benefits that the ASN Filter Designer can offer your organisation by cutting your development costs by up to 75%!

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