This table aims to direct users to sections of relevant texts which contain theory and exercises related to experiments currently documented and implemented with the SIGEx/NI ELVIS bundle.
Given that SIGEx is by design an open-ended modeling system it is possible to build many more experiments than is currently documented.
Users will find that many exercises from the texts which are currently undocumented in this Lab Manual can also be implemented directly with minimum extra documentation.
Students can easily be directed to implement exercises from texts on the SIGEx board once they become familiar with the block diagram modeling approach to building experiments.
The texts which are currently referred to in this Appendix are:
Lathi.B.P. , “Signal processing & Linear Systems”, Oxford University Press Oppenheim.A.V.,Wilsky.A.S., “Signals & Systems”, Prentice Hall, 2nd edition Haykin, Van Veen, “Signals and Systems”, Wiley, 2nd edition
Ziemer.R.E,Tranter.W.H, Fannin.D.R, “Signals & Systems: Continuous and Discrete”, Prentice Hall, 4th edition
Boulet.B.: “Fundamentals of Signals & Systems”, Thomson/Delmar Learning McClellan.J.H, Schafer.R.W, Yoder.M.A, “DSP First”, Prentice Hall
Lathi.B.P. , “Signal processing & Linear Systems”, Oxford University Press
SIGEx Lab Manual Lathi: text book correlation
S1-03: Special signals – characteristics and applications
1 Introduction to Signals and Systems B.2 Sinusoids
2.4 System response to external input: zero-state response
S1-04: Systems: Linear and non-linear 1 Introduction to Signals and Systems
S1-05: Unraveling convolution 9.4-1 Graphical procedure for the convolution sum
S1-06: Integration, convolution, correlation &
S1-08: Build a Fourier series analyzer 3.4 Trigonometric fourier series
S1-09: Spectrum analysis of various signal types 4 Continuous-time signal analysis: The fourier transform
S1-10: Time domain analysis of an RC circuit 1.8 System model: Input-output description
S1-11: Poles and zeros in the Laplace domain 6 Continuous-time system analysis using the Laplace transform
S1-12: Sampling and Aliasing 5 Sampling
8.3 Sampling continuous-time sinusoid and aliasing
S1-13: Getting started with analog-digital conversion
5.1-3 Applications of the sampling theorem (Pulse code modulation PCM)
S1-14: Discrete-time filters with FIR systems 11 Discrete-time system analysis using the z-transform 12.1 Frequency response of discrete-time systems 12.2 Frequency response from pole-zero location
S1-15: Poles and zeros in the z plane with IIR systems
12 Frequency response and digital filters
S1-16: Discrete-time filters – issues in practical applications
Not covered
Oppenheim.A.V.,Wilsky.A.S., “Signals & Systems”, Prentice Hall, 2nd edition
SIGEx Lab Manual Oppenheim, text book correlation
S1-03: Special signals – characteristics and applications
1 Signals and Systems
S1-04: Systems: Linear and non-linear 1 Signals and Systems 2 Linear time-invariant systems
S1-05: Unraveling convolution 2.1 Discrete-time LTI systems: The convolution sum
S1-06: Integration, convolution, correlation &
matched filters
2.2 Continuous-time LTI systems: The convolution integral 2 Linear time-invariant systems; Problem 2.67
S1-07: Exploring complex numbers and exponentials
1 Signal and systems: Mathematical review 1.3 Exponentials and sinusoidal signals
S1-08: Build a Fourier series analyzer 3.3 Fourier series representation of continuous-time periodic signals
S1-09: Spectrum analysis of various signal types 4.1.3 Examples of Continuous-Time Fourier transforms
S1-10: Time domain analysis of an RC circuit 3.10.1 A simple RC lowpass filter 3.10.2 A simple RC highpass filter
S1-11: Poles and zeros in the Laplace domain 9 The Laplace transform
9.4 Geometric evaluation of the Fourier transform from the pole-zero plot
S1-12: Sampling and Aliasing 7 Sampling
S1-13: Getting started with analog-digital conversion
8.6.3 Digital Pulse-Amplitude (PAM) and Pulse-Code modulation (PCM)
S1-14: Discrete-time filters with FIR systems 6.6 First-order and second-order discrete time systems 6.7.2 Examples of discrete-time nonrecursive filters
S1-15: Poles and zeros in the z plane with IIR systems
10.4 Geometric evaluation of the Fourier transform from the pole-zero plot
S1-16: Discrete-time filters – issues in practical applications
Not covered
Haykin, Van Veen, “Signals and Systems”, Wiley, 2nd edition
SIGEx Lab Manual Haykin, Van Veen, text book correlation
S1-03: Special signals – characteristics and applications
1.6 Elementary signals
S1-04: Systems: Linear and non-linear 1.8 Properties of systems
S1-05: Unraveling convolution 2.2 The convolution sum
S1-06: Integration, convolution, correlation &
matched filters
2.5 Convolution integral evaluation procedure
S1-07: Exploring complex numbers and exponentials
1.6.3 Relation between sinusoidal and complex exponential signals
A.2 Complex numbers
S1-08: Build a Fourier series analyzer 3.5 Continuous-time periodic signals: The Fourier series
S1-09: Spectrum analysis of various signal types 4.2 Fourier Transform representations of Periodic signals
S1-10: Time domain analysis of an RC circuit 6.7 Laplace transform methods in circuit analysis
S1-11: Poles and zeros in the Laplace domain 6 Representing signals by using continuous-time complex exponentials: the Laplace transform
6.13 Determining the Frequency response from poles & zeros
S1-12: Sampling and Aliasing 4.5 Sampling
4.6 Reconstruction of continuous-time signals from samples
S1-13: Getting started with analog-digital conversion
4.6.3 A practical reconstruction: the zero order hold 5.2 Types of modulation (PCM)
S1-14: Discrete-time filters with FIR systems 7 Representing signals by using continuous-time complex exponentials: the z- transform
8.9 Digital FIR filters
S1-15: Poles and zeros in the z plane with IIR systems
7.8 Determining the Frequency response from poles & zeros 8.10 IIR Digital filters
S1-16: Discrete-time filters – issues in practical applications
7.9 Computational structures for implementing discrete-time LTI systems
Ziemer.R.E,Tranter.W.H, Fannin.D.R, “Signals & Systems : Continuous and Discrete”, Prentice Hall, 4th edition
SIGEx Lab Manual Ziemer, Tranter, Fannin, text book
correlation S1-03: Special signals – characteristics and
applications
1-3 Signal models
S1-04: Systems: Linear and non-linear 2-2 Properties of systems
S1-05: Unraveling convolution 8-4 Difference equations and discrete-time systems;
Example 8-12 Discrete convolution 10-6 Convolution
S1-06: Integration, convolution, correlation &
matched filters
10-6 Energy spectral density and autocorrelation function
S1-07: Exploring complex numbers and exponentials
1-3 Phasor signals and spectra
S1-08: Build a Fourier series analyzer 3-3 Obtaining trigonometric Fourier series representations for periodic signals
3-4 The complex exponential Fourier series
S1-09: Spectrum analysis of various signal types 4.5 Fourier transform theorems
S1-10: Time domain analysis of an RC circuit 2-2:2-7 System modeling concepts
6-2 Network analysis using the Laplace transform
S1-11: Poles and zeros in the Laplace domain 6-4 Transfer functions
S1-12: Sampling and Aliasing 8-2 Sampling
8-2 Impulse-train sampling model
S1-13: Getting started with analog-digital conversion
8-2 Quantizing and encoding
S1-14: Discrete-time filters with FIR systems 9-5 Design of finite-duration impulse response (FIR) digital filters
S1-15: Poles and zeros in the z plane with IIR systems
9-4 Infinite Impulse Response (IIR) filter design
S1-16: Discrete-time filters – issues in practical applications
9-2 Structures of digital processors
Boulet.B.: “Fundamentals of Signals & Systems”, Thomson/Delmar Learning
SIGEx Lab Manual Boulet, text book correlation
S1-03: Special signals – characteristics and applications
1 Elementary continuous-time and discrete-time signals and systems
S1-04: Systems: Linear and non-linear 2 Linear Time-invariant systems
S1-05: Unraveling convolution 2 Discrete-time systems: The convolution sum
S1-06: Integration, convolution, correlation &
S1-08: Build a Fourier series analyzer 4 Determination of the Fourier series representation of a continuous-time periodic signal
S1-09: Spectrum analysis of various signal types 4 Fourier series representation of periodic continuous-time signals
S1-10: Time domain analysis of an RC circuit 9 Application of Laplace transform techniques to electric circuit analysis
S1-11: Poles and zeros in the Laplace domain 6 Poles and zeros of rational Laplace transforms
S1-12: Sampling and Aliasing 15 Sampling systems
S1-13: Getting started with analog-digital conversion
16 Modulation of a pulse-train carrier 15 Signal reconstruction
S1-14: Discrete-time filters with FIR systems 14 Geometric evaluation of the DTFT from the pole-zero plot
S1-15: Poles and zeros in the z plane with IIR systems
14 Infinite Impulse Response and Finite Impulse Response filters
S1-16: Discrete-time filters – issues in practical applications
Not covered
McClellan.J.H, Schafer.R.W, Yoder.M.A, “DSP First”, Prentice Hall
SIGEx Lab Manual “DSP First”, text book correlation
S1-03: Special signals – characteristics and applications
1 Mathematical representation of signals
S1-04: Systems: Linear and non-linear 2 Thinking about systems
S1-05: Unraveling convolution 5.3.3 Convolution and FIR filters
S1-06: Integration, convolution, correlation &
S1-08: Build a Fourier series analyzer 3.4.1 Fourier series analysis
S1-09: Spectrum analysis of various signal types 3 Spectrum representation
S1-10: Time domain analysis of an RC circuit Not covered
S1-11: Poles and zeros in the Laplace domain Not covered
S1-12: Sampling and Aliasing 4 Sampling and aliasing
S1-13: Getting started with analog-digital conversion
4.4 Discrete to continuous conversion
S1-14: Discrete-time filters with FIR systems 5 FIR filters
S1-15: Poles and zeros in the z plane with IIR systems
8 IIR filters
S1-16: Discrete-time filters – issues in practical applications
8 IIR filters