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 28 for “"Quantization error"”.
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Timing offset and quantization error trade-off in interleaved multi-channel measurements
… (ADCs) are traditionally designed with equal 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 …
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Performance analysis of a multistage multicarrier demultiplexer/demodulator (M-MCDD) in the presence of interference and quantization error
… to being real-valued. This will also introduce quantization noise into the demultiplexed output. Due to the complexity induced by ACI and the combination of ACI with quantization noise, we rely on analytical techniques to arrive at approximate numerical solutions, with calculable error margins, …
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Improved thresholding and quantization techniques for image compression
… this problem, an improved thresholding and quantization techniques for image compression is proposed. Firstly, the generated wavelet coefficients obtained from the Discrete Wavelet Transform (DWT) process are thresholded by the proposed Standard Deviation-Based Wavelet Coefficients Threshold …
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Optimizing communication performance of low-resolution ADC systems with hybrid beamforming
… and power consumption. Due to non-negligible quantization errors, however, existing state-of-the-art hybrid beamforming techniques cannot be directly applied to such systems as they ignore the impact of the quantization error. In this regard, I propose new receiver architectures and algorithms …
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A Geometrical Approach to Machine Learning: From Complexity Measures to Quantization
… new quantity provably bounds the generalization error under mild assumptions on the model. Furthermore, simulations on standard data sets and popular model architectures show that 2sED correlates well with the training error. For Markovian models, we show how to efficiently approximate 2sED from …
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Noise shaping techniques for analog and time to digital converters using voltage controlled oscillators
… and time-to-digital converters with first-order quantization and mismatch noise-shaping. To implement a time-to-digital converter (TDC) with noise-shaping, we present a oscillator that is enabled during the measurement of an input, and then disabled in between measurements. By holding the state …
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Adaptive control of a linear system with quantized state observations
… a problem in networked control systems where quantization is a communication constraint. Control design together with parameter estimation algorithms lead to adaptive control techniques. A first order system with unknown parameters is estimated via projection algorithm recursively. …
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The design of binary shaping filter of binary code
… closest codeword in another linear code C,. The quantization error is then treated as the encoded codeword in our coding scheme. We discuss the practicality and advantage of such codes and give a design example.
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ESSAYS ON OPTIMIZATION AND SUPPLY CHAIN STRATEGIES FOR SUSTAINABLE SYSTEMS: INSIGHTS FROM FRACTAL DIMENSION IMAGE ANALYSIS, PHOTOVOLTAIC MANUFACTURING RESILIENCE, AND FRESH PRODUCE INFRASTRUCTURE
… (i) an AI/optimization framework that eliminates quantization error in fractal-dimension (FD) measurement from optical images, improving the fidelity of micro- to mesoscale structure quantification; (ii) a prospective life-cycle and systems analysis of reshoring crystalline-silicon photovoltaic …
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Complexity Analysis of Quantizations of Multidimensional Stochastic Differential Equations
The dissertation is located in the field of quantizations of certain stochastic processes, namely a solution X of a multidimensional stochastic differential equation (SDE). The quantization problem for X consists in approximating X by a a random element which takes only finitely many values. Our …
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Hierarchical density estimation for image classification
… a histogram may be easy to learn but has a large quantization error; on the contrary, Gaussian mixture model based methods have better modeling capabilities but are inefficient in both learning and testing. In this thesis, we present a novel hierarchical density estimation approach for image …
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Quantization and erasures in frame representations
… in signal processing to provide robustness to errors. In this thesis robustness is provided through the use of projections to compensate for errors in the representation coefficients, with specific focus on quantization and erasure errors. The projections are implemented by modifying the …
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Digital phase tightening for improved spatial resolution in millimeter-wave imaging systems
… order of femto-seconds. In the proto system, the quantization error is larger than the Gaussian noise; therefore, significant improvements in the accuracy of the phase measurements were not observed.
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Clock multiplication techniques for high-speed I/Os
… their jitter performance is severely degraded by quantization error. In this dissertation different clock multiplication techniques have been explored that can be suitable for high-speed wireline systems. With the emphasis on ring oscillator based architecture using cascaded stages, three possible …
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Efficient Deep Learning Systems for Visual Perception on the Edge
… on-device LLM and VLM deployment. AWQ is a novel quantization method based on the insight that not all weights in an LLM are equally important. Protecting only 1% salient weights can greatly reduce quantization error. Specifically, AWQ employs an equivalent transformation and scales up the salient …
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Regulating Traffic Flow and Speed on Large Networks: Control and Geographical Self Organizing Map (Geo-SOM) Clustering
… The enhancements reached up to 15.15% for quantization error, 61.05% for spacial quantization error, and 43.96% for variance. Finally, the SMC-SH is tested on the protected region of the LA network identified by the GeoSOM algorithm. SMC-SH succeeds in improving network-wide vehicle travel …
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Comparing the Performance of Small Word-Size Floating-Point Numerics to Fixed-Point Numerics in Neural Networks
… it suffers from limited dynamic range and quantization inflexibility. This thesis introduces an alternative approach—Adaptive Precision Training (APT)—which leverages reduced-precision floating-point formats (FP8, FP12, FP16) for dynamic, layer-wise quantization during training. APT …
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Space -Time Transmit Precoding and Interference Suppression for a Wireless Downlink
… values back to the transmitter, thus avoiding quantization error. The new schemes are shown to provide better channel estimates than quantization-based feedback schemes currently being standardized for third generation cellular systems.
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Residue Number System Recursive Digital Filtering With Error Correction Capabilities
… classes are described with an analysis of the quantization error due to scaling. Computer simulations illustrate the filter performance in these RNS classes. Despite much recent work in the design and realization of digital filters, little attention has been given to problems of error detection …
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Combined Word-Length Allocation and High-Level Synthesis of Digital Signal Processing Circuits
… for heterogeneous-architecture FPGAs. A novel quantization error estimation based on affine arithmetic (AA) is presented, as well as its practical application to the automatic WLA of LTI and non-linear differentiable DSP systems. The error estimation is based on performing a pre-processing of …
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