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JimmyFan0811/README.md

Hi, I'm Jimmy

  • M.S. Student in Communications Engineering, National Cheng Kung University
  • B.S. in Mathematics, National Tsing Hua University

My background spans mathematics, signal processing, wireless communications, and algorithm development, with hands-on experience in C, MATLAB, and Python.

My current research focuses on Zero Ambiguity Zone (ZAZ) Sequence Sets, particularly sequence construction and ambiguity-function analysis for communication and sensing applications.

Research Interests

  • Digital Signal Processing
  • Wireless Communications
  • Communication Algorithms
  • Sequence Design
  • Zero- and Low-Ambiguity-Zone (ZAZ/LAZ) Sequences
  • Integrated Sensing and Communication (ISAC)
  • Mathematical Modeling and Numerical Methods

Selected Projects

PCP / PQCP Sequence Design and Search in C

Team project on computational construction and search of PCP and PQCP sequences.

  • Responsible for SDS-based PCP construction.
  • Implemented Simulated Annealing for PQCP search.
  • Applied periodic autocorrelation analysis, combinatorial search, and numerical verification.
  • Successfully obtained and verified (44,4)-PQCP and (46,4)-PQCP sequence pairs.

Bayesian Adaptive LMS

Reproduced and analyzed a Bayesian Step Least Mean Squares (BSLMS) algorithm.

  • MATLAB simulation of adaptive filtering algorithms.
  • Studied Bayesian estimation of unknown variances and adaptive LMS step-size selection.
  • Compared convergence behavior under different noise levels and initial conditions.

AQI Prediction Using Machine Learning

Developed an AQI classification workflow using RapidMiner.

  • Data preprocessing and environmental feature analysis.
  • SVM-based classification.
  • Addressed class imbalance using SMOTE.
  • Evaluated performance using Accuracy, ROC-AUC, and AUPRC.
  • Project results were published in the Journal of Big Data Application and Management.

Invariant Two-Parameter Family of Circulant Sparse Matrices

Technical review and computational study of structured matrix methods for correlation signal processing.

  • Circulant sparse matrices and orthogonal matrix bases.
  • Frobenius-norm projection and best approximation.
  • Zak-transform diagonalization.

Integrated Communication, Localization, and Sensing in 6G D-MIMO Networks

Technical review of 6G Distributed MIMO and ISAC.

  • D-MIMO architecture and deployment trade-offs.
  • Communication, localization, and sensing integration.
  • OFDM / OTFS, synchronization, fronthaul, and 1-bit Radio-over-Fiber.

Current Research

Zero Ambiguity Zone (ZAZ) Sequence Sets

My master's research focuses on the theoretical analysis and construction of Zero Ambiguity Zone (ZAZ) Sequence Sets.

Current topics include:

  • Auto-ambiguity and cross-ambiguity functions
  • Time-delay and Doppler characteristics
  • ZAZ / LAZ sequence construction
  • Doppler-resilient sequence design
  • Sequence correlation properties
  • Applications in wireless communication and sensing systems

Technical Skills

Programming

  • C
  • MATLAB
  • Python

Communication & Signal Processing

  • Digital Signal Processing
  • Wireless Communication Systems
  • Sequence Design
  • Adaptive Signal Processing
  • Ambiguity Function Analysis
  • Numerical Simulation

Mathematics

  • Linear Algebra
  • Probability
  • Mathematical Modeling
  • Numerical Computation

Machine Learning

  • Data Preprocessing
  • Supervised Learning
  • Model Evaluation

Tools

  • Git / GitHub
  • LaTeX

Career Interests

I am interested in R&D opportunities related to:

  • Wireless / Baseband Algorithm Development
  • Digital Signal Processing
  • Modem and Communication Algorithms
  • Embedded Algorithm Implementation

Pinned Loading

  1. PCP-PQCP-Sequence-Search PCP-PQCP-Sequence-Search Public

    C-based construction and search of PCP and PQCP sequences using SDS and Simulated Annealing.

    C

  2. Bayesian-Adaptive-LMS Bayesian-Adaptive-LMS Public

    MATLAB simulation and analysis of a Bayesian Step Least Mean Squares (BSLMS) algorithm for adaptive filtering.

  3. 6G-DMIMO-Integrated-Sensing 6G-DMIMO-Integrated-Sensing Public

    Technical review of integrated communication, localization, and sensing in 6G Distributed MIMO networks.

  4. AQI-Prediction-ML AQI-Prediction-ML Public

    Machine learning-based Air Quality Index (AQI) prediction with data preprocessing, feature engineering, model comparison, and performance evaluation.

  5. Circulant-Sparse-Matrices Circulant-Sparse-Matrices Public

    Technical review of invariant two-parameter families of circulant sparse matrices and their applications in correlation signal theory.