Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 53 for “"noiseless"”.
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Discrete noiseless coding
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering, 1957.
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Block coding with noiseless feedback
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering, 1964.
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Bounds on the Redundancy of Noiseless Source Coding
The Renyi redundancy, R(,s)(p,w), is the difference between the exponentially weighted average codeword length,
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UNIVERSAL CONTROL OF NOISELESS SUBSYSTEMS FROM SYSTEMS WITH ARBITRARY DIMENSION
… class of quantum error correcting codes, namely noiseless subsystem encodings. The passive approach to error correction taken by these encodings provides an efficient means of protection from symmetrically coupled system-environment interactions. Here I will present methods for determining the …
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Quantization for Noisy Channels Using Structured Codes
… error distortion criterion are derived for both noiseless and noisy discrete memoryless channels.
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Approximate Message Passing for Matrix Regression
… the design matrix is binary-valued. For the noiseless pooled data setting, we show that the studied AMP algorithm is equivalent to one recently proposed by El Alaoui et al. Our results provide a rigorous version of their performance guarantees, previously obtained via non-rigorous techniques. …
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Zero-error communication over adder MAC
Adder MAC is a simple noiseless multiple-access channel (MAC), where if users send messages X₁, . . . ,X[subscript h] [epsilon] {0, 1}[superscript n], then the receiver receives Y = X₁ + · · · + X[subscript h] with addition over Z. Communication over the noiseless adder MAC has been studied for …
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Scaling Laws for Deep Learning
… view and showing through the exploration of a noiseless realizable case that DL is in fact dominated by error sources very far from the lower error limit. We conclude by building on the gained theoretical understanding of the scaling laws’ origins. We present a conjectural path to eliminate one …
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Communication scheduling and remote estimation with additive noise channels
… channel between the sensor and the estimator is noiseless, which may not be that realistic even though it was an important first step. In this thesis, we study communication scheduling and remote estimation problems with additive noise channels. In particular, we consider a series of four …
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Neural Network Learning for Time-Series Predictions Using Constrained Formulations
… to neural network learning for near noiseless time-series benchmarks, we achieve much improved prediction performance as compared to that of previous work, while using less parameters. For noisy time-series, such as financial time series, we have studied systematically trade-offs …
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A thermally efficient micro-reactor for thermophotovoltaic power generation
… a mechanically passive device that is virtually noiseless and less subject to wear than engines and turbines.
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Identifying predictors of evolutionary dispersion with phylogeographic generalised linear models
… assumes that rates of spatial diffusion are a noiseless deterministic function of the set of covariates, admitting no other unobserved sources of variation. Under a variety of simulation scenarios, we demonstrate that the lack of a term modelling stochastic noise results in high false positive …
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Distributed detection and coding in information networks
… The relays forward limited information through a noiseless link to the final destination which makes an optimal decision. The essence of the problem lies in the loss of information at the relays. To solve this problem, the characteristics of the error curve are established and developed as a tool …
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Development of Spect and Ct Tomographic Image Reconstruction
… We conclude the following: When reconstructing noiseless datasets, varying the rotational sampling from 90 views to 360 views over 360 degrees does not affect the reconstructed activity regardless of the object size in terms of both convergence and accuracy. When using ordered subsets, the …
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Applications of Statistical Modeling in Iterative CT Image Reconstruction
… and is derived assuming a continuous set of noiseless measurements. However real CT data are noisy and biased, especially so if the scans are performed at low x-ray dose, and advanced statistical estimation techniques have been shown to produce higher quality images than FBP. This work …
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Computing with unreliable resources : design, analysis and algorithms
… complexity of approximate sorting with both noiseless and noisy comparisons. Our lower bound shows the optimality of certain existing algorithms with respect to noiseless comparisons and provides a benchmark for approximate sorting with noisy comparisons.
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Machine Learning Methods for Super-Resolution in Sparse Sensor Arrays
… radar responses to ideal point reflectors in noiseless vacuum, and the network is trained to minimize the squared error between the network output and the normalized log-magnitude of the large aperture array signal in its Fourier Transform domain. In general, given signals from two sets of …
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A study of covert queueing channels in shared schedulers
… and derive the capacity of this channel for both noiseless and noisy scenarios. Our results show that seemingly isolated users can communicate at a high rate over the covert channel. Furthermore, we propose a practical finite-length code construction, which achieves the capacity limit.
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The power of restricted quantum computational models
… computations. Entanglement is necessary for noiseless quantum computers to have any quantum advantage, but it is not known whether the same is true for mixed state quantum computers. We show that entanglement, unexpectedly, does play a crucial role in the most well known mixed state computer: …
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