Electrical Communication Engineering (ECE): Recent submissions
Now showing items 21-40 of 432
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Localization methods for correlated spatially distributed sources
Modeling of sources as point in nature is a very idealistic modeling in array processing. There have been a number of distributed source models proposed in the literature. This work is based on one of these models. It tries ... -
Studies on methods of reducing some cost parameters in microprogrammed digital computers and distributed processing systems
The concept of microprogramming is frequently employed in designing the control units of modern digital computers and microprocessors. In a microprogrammed digital computer, the size of control memory depends upon the width ... -
Signal Processing Algorithms for Target Parameter Estimation in a Dual-Function Radar Communication System
In next-generation technologies, the demand for higher performance in fields such as radar and communications is driving the use of higher frequencies, leading to spectrum congestion. A promising solution to this challenge ... -
Character Recognition Using Optical Correlation
A study of effect of rotation and lateral displacement on the correlation outputs when two characters are correlated optically (Taking numerals as characters) has been carried out. Thus, the feasibility of optical correlation ... -
Dynamic Channel Allocation for integrated Voice Data Communication A Tdm Approach
Integrated Services Digital Network (ISDN) is an extension of conventional telecommunications and the data trafics like text, facsimile, image. Efficient transmission of voice/data on a common communication channel has ... -
Millimeter Wave Beam Selection in Time-varying Channels with Orientation Changes and Lateral Mobility
Beamforming enables millimeter-wave (mmWave) communications to achieve high data rates in 5G and beyond systems. This requires the use of many narrow directional beams at both the transmitter and receiver to overcome the ... -
Going Beyond Pairwise Relationships: Representation Learning on Simplicial Complexes
Relational data appear naturally in many real-world applications and can be modeled using mathematical structures known as graphs. Graphs model entities as nodes and their pairwise relations or interactions as edges. For ... -
Streaming Codes for Low-Latency Communication over Various Sliding-Window Channel Models
Streaming codes are packet-level codes that recover dropped (i.e., erased) packets within a decoding-delay deadline. A common model for packet erasures over a network is the Markov, two-state Gilbert-Elliott (GE) channel ... -
Sampling, Recovery, and Learning Methods for Graphs and Simplicial Complexes
Many datasets are often supported by irregular non-Euclidean domains. Graph signal processing (GSP) and topological signal processing (TSP) enables effective processing of such data by modeling interactions among data ... -
Remedies for Different Impairments in Orthogonal Time Frequency Space Systems
Embargo up to 15/7/2026 Orthogonal time frequency space (OTFS) has emerged as a promising multiplexing tech nique for future wireless communications. In OTFS-based systems, the information symbols are represented in a ... -
Sparse Input Novel View Synthesis of Dynamic Scenes
Novel view synthesis involves generating unseen perspectives of a scene based on videos captured from limited viewpoints. It is an interesting problem in computer graphics and computer vision, with many applications such ... -
Inter-Numerology and Inter-Carrier Interference in Mixed-Numerology OFDM Systems
Mixed-numerology has been adopted in the orthogonal frequency division multiplexing (OFDM)-based physical layer of 5G new radio (NR) to serve diverse use cases and services. The subcarriers of different numerologies have ... -
Generalizable No-Reference Image Quality Assessment: Multi-Modal Models and Human Preference Analysis for AI Generated Images
One of the major challenges in no-reference (NR) image quality assessment (IQA) is the ability to generalize to diverse quality assessment applications. Recently, multi-modal vision-language models have been found to be ... -
Towards a Generalized Approach in Design-for-Testability for Analog & Mixed-Signal ICs
The increasing complexity of analog and mixed-signal integrated circuits (AMS ICs) poses significant challenges in ensuring their reliability and functionality through effective testing methodologies. Traditional ... -
Enhancement Techniques for OTFS and Hybrid Reflection Modulation
Orthogonal time frequency space (OTFS) modulation and hybrid reflection modulation (HRM) are emerging technologies in wireless communications. OTFS provides robustness in high Doppler channels. HRM improves rate and ... -
Dictionary Based Channel Estimation and Precoding Techniques for Massive MIMO Wireless Communication Systems
Massive multiple-input multiple-output (MIMO) systems constitute a promising enabling technique for 5G/6G cellular networks as a benefit of their substantial spatial multiplexing gain in both time division duplex (TDD) and ... -
RSMA Architectures for Downlink Communication Systems
Demand for the internet is increasing day by day, and the number of internet users is also growing drastically. Multiple access (MA) plays an important role in the fifth-generation (5G) and upcoming sixth-generation (6G) ... -
Electronic Devices using Low-Dimensional van der Waals Materials and Their Heterojunctions
As the state of the art in computation, communication and sensing advances, there is an ever-increasing search for novel materials and device architectures to satisfy the growing demands for more functionality, performance, ... -
Learning with Multi-domain and Multi-view Graph Data
In many applications, we observe large volumes of data supported on irregular (non-Euclidean) domains. In graph signal processing (GSP) and graph machine learning (GML), data is indexed using the nodes of a graph and ... -
Sequential Transfer in Multi-Armed Bandits using Reward Samples
We consider a sequential multi-task problem, where each task is modeled as a stochastic multi-armed bandit with K arms. We study the problem of transfer learning in this setting and propose algorithms based on UCB to ...