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Related Concept Videos

Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...
Upsampling01:22

Upsampling

Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
Downsampling01:20

Downsampling

When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
Sampling Theorem01:15

Sampling Theorem

In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
Aliasing01:18

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
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Bandpass Sampling01:17

Bandpass Sampling

In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
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Related Experiment Video

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Measuring Maxillary Posterior Tooth Movement: A Model Assessment using Palatal and Dental Superimposition
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Occlusion improves the interpolation of sampled motion.

Tom R Scherzer1, Vebjørn Ekroll

  • 1Institute of Psychology, University of Kiel, Olshausenstrasse 62, Kiel, Germany. scherzer@psychologie.uni-kiel.de

Vision Research
|April 17, 2012
PubMed
Summary

Occlusion cues enhance the perceived smoothness of visual motion, even with larger gaps. The visual system interprets motion interruptions as occlusion, not object discontinuity.

Area of Science:

  • Visual perception
  • Cognitive neuroscience

Background:

  • Perception of occlusion impacts motion perception.
  • Sampled motion perception is sensitive to spatial gaps.

Purpose of the Study:

  • Investigate occlusion cues' effect on visual interpolation of sampled motion.
  • Determine if occlusion influences perceived motion smoothness and gap independence.

Main Methods:

  • Presented sampled motion stimuli with varying spatial gaps.
  • Introduced occluding surfaces over spatial gaps.
  • Measured perceived motion smoothness.

Main Results:

  • Occlusion cues significantly improved perceived motion smoothness.
  • Smoothness perception became independent of gap width with occlusion.

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  • Visual system attributed interruptions to occlusion.

    • Conclusions:

    • Occlusion cues override spatial gap effects in sampled motion.
    • The visual system prioritizes occlusion interpretation for motion continuity.