Distortionless demodulation of narrow-band single-sideband angle modulated signals

Whole-body vibrations are an integral part of daily life experience. A thorough understanding of human vibration perception is necessary, e.g., for both the design of multi-modal virtual environments as well as the evaluation of comfort in the automotive industry. In this study, intensity perception for whole-body vibrations near threshold has been measured using amplitude modulated signals as well as narrow band noises. Stevens’ exponents have been calculated showing a significant dependence on frequency between 31.5 Hz and 125 Hz with higher frequencies leading to lower Stevens’ exponents. Amplitude modulation does not have an effect on intensity perception. The use of narrow band noise leads to bigger differences among Stevens’ exponents compared to those of sinusoidal signals. It is concluded that perceptual data from experiments with sinusoidal signals can be used to model the intensity perception of modulated signals, but adjustments have to be made for noisy signals.

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Technique to improve carrier-to-interference ratio of optical single sideband with carrier modulated signals

Optics Express ◽

10.1364/oe.14.011077 ◽

2006 ◽

Vol 14 (23) ◽

pp. 11077 ◽

Cited By ~ 4

Author(s):

Christina Lim ◽

Ka-Lun Lee ◽

Ampalavanapillai Nirmalathas ◽

Dalma Novak ◽

Rod Waterhouse

Keyword(s):

Single Sideband ◽

Optical Single Sideband ◽

Modulated Signals ◽

Carrier To Interference Ratio

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Audiogram of a harbor porpoise (Phocoena phocoena) measured with narrow-band frequency-modulated signals

The Journal of the Acoustical Society of America ◽

10.1121/1.1480835 ◽

2002 ◽

Vol 112 (1) ◽

pp. 334-344 ◽

Cited By ~ 108

Author(s):

Ronald A. Kastelein ◽

Paulien Bunskoek ◽

Monique Hagedoorn ◽

Whitlow W. L. Au ◽

Dick de Haan

Keyword(s):

Narrow Band ◽

Phocoena Phocoena ◽

Harbor Porpoise ◽

Band Frequency ◽

Modulated Signals

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A New Fast Approximate Hilbert Transform with Different Applications

IIUM Engineering Journal ◽

10.31436/iiumej.v2i2.346 ◽

1970 ◽

Vol 2 (2) ◽

Author(s):

Abdulnasir Hossen

Keyword(s):

Signal Processing ◽

Hilbert Transform ◽

Narrow Band ◽

Analytic Signal ◽

Time Signal ◽

Subband Decomposition ◽

Single Sideband ◽

Full Band ◽

The Hilbert Transform ◽

Band Signal

A new and fast approximate Hilbert transform based on subband decomposition is presented. This new algorithm is called the subband (SB)-Hilbert transform. The reduction in complexity is obtained for narrow-band signal applications by considering only the band of most energy. Different properties of the SB-Hilbert transform are discussed with simulation examples. The new algorithm is compared with the full band Hilbert transform in terms of complexity and accuracy. The aliasing errors taking place in the algorithm are found by applying the Hilbert transform to the inverse FFT (time signal) of the aliasing errors of the SB-FFT of the input signal. Different examples are given to find the analytic signal using SB-Hilbert transform with a varying number of subbands. Applications of the new algorithm are given in single-sideband amplitude modulation and in demodulating frequency-modulated signals in communication systems.Key Words: Fast Algorithms, Hilbert Transform, Analytic Signal Processing.

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