TREFFPUNKT MATLAB 2017 ITA-TOOLBOX · Treffpunkt MATLAB 2017 ITA – INSTITUTE OF TECHNICAL...
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Treffpunkt MATLAB 2017
TREFFPUNKT MATLAB 2017ITA-TOOLBOX
Johannes Klein, Marco Berzborn,Ramona Bomhardt, Jan-Gerrit RichterInstitut für Technische AkustikRWTH Aachen
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Treffpunkt MATLAB 2017
ITA - INSTITUTE OF TECHNICAL ACOUSTICS
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Treffpunkt MATLAB 2017
ITA – INSTITUTE OF TECHNICAL ACOUSTICS
Faculty of Electrical Engineering and Communication Technology Two departments: Technical Acoustics (Prof. Michael Vorländer) Medical Acoustics (Prof. Janina Fels)
18 Researchers and 1 senior engineer
Architectural acoustics & virtual reality Electro acoustics & measurement Binaural & spatial audio
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Treffpunkt MATLAB 2017
ARCHITECTURAL ACOUSTICS & VIRTUAL REALITY
Room and building acoustics Numerical acoustics Fast simulation methods Auralization
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Treffpunkt MATLAB 2017
BINAURAL HEARING & SPATIAL AUDIO
Binaural hearing Array technologies and directivity Medical acoustics and audiology Psychoacoustics
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Treffpunkt MATLAB 2017
ELECTRO ACOUSTICS & MEASUREMENT
Pro-audio and loudspeakers development and engineering Vibro-acoustics and TPA Condition monitoring www.ita-toolbox.org
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Treffpunkt MATLAB 2017
ita-toolbox.org || git.rwth-aachen.de
DOWNLOAD & GO…
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Treffpunkt MATLAB 2017
BACK TO THE TOOLBOX!
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Treffpunkt MATLAB 2017
DIGITAL SIGNAL PROCESSING
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Treffpunkt MATLAB 2017
DIGITAL SIGNAL PROCESSING
Quantization: evenly spaced integer values for previouslycontinuous amplitude
Common number of quantization steps:216 ≡± 32767
Quantization errors mostly result in white noise
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Treffpunkt MATLAB 2017
DIGITAL SIGNAL PROCESSING
Sampling: evenly spaced discretization of previously time-continuous signal
Nyquist theorem: SignalSampling ff 2
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Treffpunkt MATLAB 2017
DIGITAL SIGNAL PROCESSING
Signal Processing Basics Discrete Fourier Transform (DFT)
Sampling causes mirrored ‘alias’ spectra
discrete representation in frequency domaincauses ‘alias’ impulses in time domain
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Treffpunkt MATLAB 2017
DIGITAL SIGNAL PROCESSING
Signal Processing Basics Influence of the phase
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Treffpunkt MATLAB 2017
DIGITAL SIGNAL PROCESSING
Signal Processing Basics Influence of the phase
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Treffpunkt MATLAB 2017
DIGITAL SIGNAL PROCESSING
Signal Processing Basics Influence of the phase
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Treffpunkt MATLAB 2017
BACK TO THE TOOLBOX!
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Treffpunkt MATLAB 2017
LINEAR TIME-INVARIANT SYSTEMS (LTI)
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Treffpunkt MATLAB 2017
LINEAR TIME-INVARIANT SYSTEMS (LTI)
Signal processing basics LTI system
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Treffpunkt MATLAB 2017
LINEAR TIME-INVARIANT SYSTEMS (LTI)
Signal processing basics Impulse response
Do we have to measure with an impulse?
Pro: directly obtain impulse response Con: not feasible
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Treffpunkt MATLAB 2017
LINEAR TIME-INVARIANT SYSTEMS (LTI)
Signal processing basics Impulse response
Do we have to measure with an impulse? No!
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Treffpunkt MATLAB 2017
LINEAR TIME-INVARIANT SYSTEMS (LTI)
Signal processing basics Advantages of extended measurement signals
Distribute more energy over time
Better Signal-to-Noise Ratio (SNR)
Adapt signals to measurement hardware Equalize equipment Optimal dynamic range
More information about the system properties
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Treffpunkt MATLAB 2017
LINEAR TIME-INVARIANT SYSTEMS (LTI)
Signal processing basics Signal properties
Real-valued time signals – symmetric spectra Periodic time signals – discrete spectra
Frequency resolution depends on measurement time
Averaging to improve SNR
av dB 10lg N
3dB 6dB 9dB 12dB 15dB 18dB2 4 8 16 32 64
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Treffpunkt MATLAB 2017
Measurement signals How long to measure?
Tmeas > TReverb
Bin distance
analogous to„sampling“
Measurement period
f
LINEAR TIME-INVARIANT SYSTEMS (LTI)
Tmeas > 1/∆f
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Treffpunkt MATLAB 2017
LINEAR TIME-INVARIANT SYSTEMS (LTI)
Signal processing basics How does deconvolution work?
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Treffpunkt MATLAB 2017
LINEAR TIME-INVARIANT SYSTEMS (LTI)
Signal processing basics How does deconvolution work?
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Treffpunkt MATLAB 2017
BACK TO THE TOOLBOX!