Notes
Outline
Contrasting Log Sine Sweep method and MLS for room acoustics measurements
Angelo Farina
Industrial Engineering Dept., University of Parma, Via delle Scienze 181/A
Parma, 43100 ITALY – HTTP://pcfarina.eng.unipr.it
Outline
The basis of classic MLS and new Log Sine Sweep methods are presented
Methods
Theoretical analysis of both MLS and “time reversal mirror” approaches to the determination of the transfer function of a system
The choice of a special log sine sweep allows for the symultaneous measurement of distortion and linear response of not-linear systems
Avoiding any kind of averages, the log sweep method becomes substantially immune to clock mismatch and time variance
Measurement principle
We are interested in the linear impulse response h(t). This can be estimated by the knowledge of the input signal x(t) and of the output signal y(t). The influence of the not-linear part K and of the noise n(t) has to be minimized.
THE MLS method
X(t) is a periodic binary signal obtained with a suitable shift-register, configured for maximum lenght of the period.
MLS deconvolution
The re-recorded signal y(i) is cross-correlated with the excitation signal thanks to a fast Hadamard transform. The result is the required impulse response h(i), if the system was linear and time-invariant
MLS example
MLS example
THE Log Sine Sweep method
X(t) is a sinusoidal signal signal, the frequencing being variable with an exponential function of time.
Log Sine Sweep deconvolution
The “time reversal mirror” approach is based on the convolution with the time-reversal of the excitation signal. If its spectral content is not white, proper amplitude equalization is required.
Exponential sweep measurement
Raw response of the system
Many harmonic orders do appear as colour stripes
Deconvolution of system’s impulse response
The deconvolution is obtained by convolving the raw response with a suitable inverse filter
Multiple impulse response obtained
The last peak is the linear impulse response, the preceding ones are the harmonic distortion orders
Comparative experiments
Equipment
Results
Conclusions
The Log Sine Sweep method outperforms all other known (TDS, MLS, etc.)
The implementation is simple (no specialized software required, CoolEdit already does it)
Specific plugins for CoolEdit were developed for making even simpler to generate and deconvolve the linear impulse response, and to extract also information about harmonic distortion