Emona Signal Processing Trainer ETT-311

SIGEx: Multi-experiment Single Board

“Signals and Systems” Trainer for the popular NI ELVIS™ platform
Designed specifically for 1st & 2nd Year University and Community College courses

A unique hands-on approach to help students understand this abstract topic, bringing theory and application together in the lab

How does SIGEx help students understand “Signals & Systems” & signal processing theory better?

The EMONA SIGEx board and comprehensive Lab Manual and closely follows the typical curriculum encountered by engineering students and is based on leading textbooks on this topic. By having hands-on modules which students patch together according to the block diagram in the lab, students can build actual working implementations of the theoretical structures they are studying. This enhances their understanding and reduces the number of students who “just don’t get it”. Every theoretical topic has an equivalent lab implementation so students can see the “maths come alive” in the lab.

View a brief

3 minutes video presentation



See more

SIGEx SFP contains access to tabbed instrumentation for each experiment, and clear,intuitive controls for the hardware elements.Students are constantly viewing and working with real electrical signals and systems built on the SIGEx hardware. Students build and measure signals from “models” of theoretical structures using blocks from the SIGEx board and NI ELVIS unit.

SIGEx Lab Manual Volume 1 Contents

Introduction (i)

An introduction to the NI ELVIS II/+ test equipment S1-01
An introduction to the SIGEx experimental add-in board S1-02
  • SIGEx board circuit modules
  • NI ELVIS functions
  • SIGEx Soft Front Panel descriptions
Special signals – characteristics and applications S1-03
  • Pulse sequence speed throttled by inertia
  • Isolated step response of a system
  • Isolated pulse response of a system
  • Sinewave input
  • Clipping
Systems: Linear and non-linear S1-04
  • Conditions for linearity
  • The VCO as a system
  • A feedback system
  • Testing for additivity
  • Frequency response
Unraveling convolution S1-05
  • Introducing superposition
  • The superposition sum
  • A sinewave input
  • Mystery applications
Integration, convolution, correlation & matched filters S1-06
  • Integration over a fixed period
  • Correlation over a fixed period
  • Convolution vs. Correlation
  • Exploring the idea of matched filters
Exploring complex numbers and exponentials S1-07
  • Complex numbers and complex signals
  • Vector arithmetic
  • Signals as phasors
  • Origin of exponential functions and ‘e’
Build a Fourier series analyser S1-08
  • Constructing waveforms from sine & cosine
  • Computing Fourier coefficient
  • Build a manually swept spectrum analyzer
  • Analyzing a square wave
Spectrum analysis of various signal types S1-09
  • Impulse trains
  • Square waves and duty cycle
  • Clipped sinusoids and harmonic multiplication
  • Sync pulses
  • PN sequences
  • Pseudo random noise generation (AWGN)
  • Exponential pulses
  • Arbitrary waveforms
Time domain analysis of an RC circuit S1-10
  • Circuit analysis of a storage element
  • Introducing the ‘s ’ operator and the Laplace domain
  • Step response of the RC
  • Comparison with the RC differentiator
Poles and zeros in the Laplace domain S1-11
  • System with feedback only – allpole
  • Feedback and feedforward – poles & zeros
  • Allpass circuit
  • Critical damping & maximal flatness
Sampling and Aliasing S1-12
  • Through the time domain – PAM, Sample & Hold
  • Through the frequency domain
  • Aliasing and the Nyquist rate
  • Uses of undersampling in Software Defined Radio
Getting started with analog-digital conversion S1-13
  • PCM encoding & quantization
  • PCM decoding & reconstruction
  • Frame synchronisation & quantization noise
Discrete-time filters with FIR systems S1-14
  • Graphical plotting of response from poles & zeros
  • Notch filter creation using two-delay FIR
Poles and zeros in the z plane with IIR systems S1-15
  • Relating roots to coefficients in the quadratic polynomial
  • IIR without feedforward – a second order resonator
  • IIR with feedforward – second order filters
Discrete-time filters – practical applications S1-16
  • Dynamic range at internal nodes
  • Advantages of Transposed form vs. Direct form
  • Sampling rate issues
Parseval’s Theorem – Relationship between time & frequency S1-17
  • Verification for harmonic power signals
  • Verification for non-harmonic power signals
Random signal analysis: measuring erfc & Q(x) for AWGN S1-18
  • Measuring the main parameters of a noise signal
  • Constructing the Q(x) function

Appendix A: SIGEx Lab to Textbook chapter table S1-A

Appendix B: Using LabVIEW with SIGEx S1-B

Creating custom output signals
Digital Filter Design toolkit usage

NI, NI ELVIS & LabVIEW are registered trademarks of the National Instruments Corporation. TIMS logo, SIGEx are trademarks of Emona TIMS Pty Ltd.