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Showing 1 to 20 of 42 for “"Uniform sampling"”.

  1. Uniform Sampling over Level Sets

    … we present an MCMC-based method to extract near-uniform samples from a level set of a provided function 𝑓 : Rᵈ → Rᵏ . We propose a sequence of unnormalized distributions over Rᵈ with asymptotic convergence to the Hausdorff measure of the level set, therefore resulting in uniform samples. Beyond …

    mit Repository record for Uniform Sampling over Level Sets (opens in a new tab)

  2. Application of non-uniform sampling techniques to digital filter synthesis

    An investigation of the non-uniform sampling technique as applied to digital filter designs will be made. The objective of the design is to reduce the interference problems as one would· encounter in using uniform sampling technique in the synthesis. An analysis of the error function which measures …

    vt Repository record for Application of non-uniform sampling techniques to digital filter synthesis (opens in a new tab)

  3. A hardware platform to test analog-to-information conversion and non-uniform sampling

    The Nyquist-Shannon sampling theorem tells us that in order to fully recover a band-limited signal previously converted to discrete data points, said signal must have been sampled at a frequency greater than twice its bandwidth. This theorem puts a burden on circuits like ADCs, in the sense that …

    mit Repository record for A hardware platform to test analog-to-information conversion and non-uniform sampling (opens in a new tab)

  4. Assorted results in boolean function complexity, uniform sampling and clique partitions of graphs

    … second part, we show that the Partial Rejection Sampling method of Guo, Jerrum and Liu can solve a handful of natural sampling problems that fall outside the guarantees of the authors' original analysis. Finally, we revise and make partial progress on a conjecture of De Caen, Erdős, Pullman and …

    mit Repository record for Assorted results in boolean function complexity, uniform sampling and clique partitions of graphs (opens in a new tab)

  5. Reconstruction from non-uniform samples

    … of a band-limited signal from its non-uniform samples involves the use of Lagrange interpolation, which is impractical to implement as it is computationally difficult. This thesis develops approximate reconstruction methods based on time-warping to obtain reconstruction of band-limited …

    mit Repository record for Reconstruction from non-uniform samples (opens in a new tab)

  6. Digital Pulse Width Modulation: Analysis, Algorithms, and Applications

    … the input to a PWM modulator is a sequence of uniformly spaced samples of the original signal, the resulting uniform-sampling PWM signal has high distortion. It is possible to eliminate the distortion completely by converting the uniform-sampling input sequence into a natural-sampling sequence …

    uiuc Repository record for Digital Pulse Width Modulation: Analysis, Algorithms, and Applications (opens in a new tab)

  7. Timing offset and quantization error trade-off in interleaved multi-channel measurements

    … quantization granularity in each channel and uniform sampling offsets. Recent work suggests that it is often possible to achieve a better signal-to-quantization noise ratio (SQNR) with different quantization granularity in each channel, non-uniform sampling, and appropriate reconstruction …

    mit Repository record for Timing offset and quantization error trade-off in interleaved multi-channel measurements (opens in a new tab)

  8. Applications of nonuniform sampling in wideband multichannel communication systems

    … is an investigation into utilising randomised sampling in communication systems to ease the sampling rate requirements of digitally processing narrowband signals residing within a wide range of overseen frequencies. By harnessing the aliasing suppression capabilities of such sampling schemes, …

    westminster Repository record for Applications of nonuniform sampling in wideband multichannel communication systems (opens in a new tab)

  9. Motor Imagery Based Brain Computer Interfaces

    … the projections of input signal on a dense uniformly sampled hyper-sphere. A novel non-uniform sampling scheme is proposed to estimate the local mean of multivariate signals. The non-uniform samples are generated by linearly transforming the hypersphere into an N dimensional ellipsoid using …

    regina Repository record for Motor Imagery Based Brain Computer Interfaces (opens in a new tab)

  10. Multidimensional random sampling for Fourier transform estimation

    … signals. The calculations are based on random sampling, where the sampling points are nonuniformly distributed according to strategically selected probability functions, to provide new opportunities that are unavailable in the uniform sampling environment. The latter imposes the sampling

    westminster Repository record for Multidimensional random sampling for Fourier transform estimation (opens in a new tab)

  11. A data-driven reflectance model

    … data, I also derive two novel reflectance sampling procedures that require fewer total measurements than standard uniform sampling approaches. Using densely sampled measurements the general surface reflectance function is analyzed to determine the local signal variation at each point in the …

    mit Repository record for A data-driven reflectance model (opens in a new tab)

  12. Randomized sampling and multiplier-less filtering

    … in two fundamental signal processing techniques: sampling and filtering. The first part develops randomized non-uniform sampling as a method to mitigate the effects of aliasing. Randomization of the sampling times is shown to convert aliasing error due to uniform under-sampling into uncorrelated …

    mit Repository record for Randomized sampling and multiplier-less filtering (opens in a new tab)

  13. Reconstruction of Functions From Non-uniformly Distributed Sampled Data in Shift-Invariant Frame Subspaces

    … shift-invariant L2 subspaces from a set of non-uniformly distributed sampled data. The Shannon-Whittaker reconstruction formula commonly used in uniform sampling problems is insufficient in reconstructing function from non-uniformly distributed sampled data. Therefore new techniques are …

    cape-town Repository record for Reconstruction of Functions From Non-uniformly Distributed Sampled Data in Shift-Invariant Frame Subspaces (opens in a new tab)

  14. Universal Minimum-Rate Sampling and Spectrum-Blind Reconstruction for Multiband Signals

    … to Fourier imaging. The proposed spectrum-blind sampling and reconstruction theory addresses issues like existence and optimal design of universal sampling patterns and their conditioning, algorithms and uniqueness conditions for optimal spectral support recovery, as well as algorithms, …

    uiuc Repository record for Universal Minimum-Rate Sampling and Spectrum-Blind Reconstruction for Multiband Signals (opens in a new tab)

  15. Bayesian attributed network sampling

    We address the problem of sampling in attributed networks. While uniform sampling is a task independent sampling method, in real-world, this is often difficult to implement as it requires random access to all the nodes of graph. Link tracing sampling methods such as random Walk, expansion sampling

    uiuc Repository record for Bayesian attributed network sampling (opens in a new tab)

  16. INFORMED EXPLORATION ALGORITHMS FOR ROBOT MOTION PLANNING AND LEARNING

    Sampling-based methods have emerged as a promising technique for solving robot motion-planning problems. These algorithms avoid a priori discretization of the search-space by generating random samples and building a graph online. While the recent advances in this area endow these randomized …

    gatech Repository record for INFORMED EXPLORATION ALGORITHMS FOR ROBOT MOTION PLANNING AND LEARNING (opens in a new tab)

  17. On low-pass reconstruction and stochastic modeling of PWM signals

    … is offered as a PWM generator and different sampling methodologies are discussed. For natural sampling, where the input signal is compared to the reference signal directly, lossless sampling conditions are derived. For a sawtooth reference signal, the convergence characteristics between …

    uiuc Repository record for On low-pass reconstruction and stochastic modeling of PWM signals (opens in a new tab)

  18. Sampling and quantization for optimal reconstruction

    … thesis develops several approaches for signal sampling and reconstruction given different assumptions about the signal, the type of errors that occur, and the information available about the signal. The thesis first considers the effects of quantization in the environment of interleaved, …

    mit Repository record for Sampling and quantization for optimal reconstruction (opens in a new tab)

  19. Modeling and control of three-phase PWM converters

    … in the rotating coordinates is developed for a uniformly sampled three-phase modulator. The model reveals that the uniform sampling introduces delays in the control inputs and cross-coupling between the control inputs. Furthermore, the model is time varying causing the complete small-signal …

    vt Repository record for Modeling and control of three-phase PWM converters (opens in a new tab)

  20. Robust Content Identification and De-Duplication with Scalable Fisher Vector In video with Temporal Sampling

    … and a frame significance function based non-uniform temporal sampling scheme on the video segments, to create a very compact binary representation of the content fragments that is agnostic to the typical coding and transcoding variations. The key innovations are a key point repeatability …

    umkc Repository record for Robust Content Identification and De-Duplication with Scalable Fisher Vector In video with Temporal Sampling (opens in a new tab)

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