Z
Zahir M. Hussain
Researcher at University of Kufa
Publications - 232
Citations - 2374
Zahir M. Hussain is an academic researcher from University of Kufa. The author has contributed to research in topics: Additive white Gaussian noise & Adaptive filter. The author has an hindex of 25, co-authored 226 publications receiving 2191 citations. Previous affiliations of Zahir M. Hussain include Melbourne Institute of Technology & Queensland University of Technology.
Papers
More filters
Journal ArticleDOI
Adaptive instantaneous frequency estimation of multicomponent FM signals using quadratic time-frequency distributions
TL;DR: An adaptive approach to the estimation of the instantaneous frequency of nonstationary mono- and multicomponent FM signals with additive Gaussian noise is presented and a quadratic distribution with high resolution, effective cross-terms reduction and no lag filtering is proposed.
Journal ArticleDOI
Automatic facial expression recognition: feature extraction and selection
TL;DR: This paper investigates feature extraction and feature selection methods as well as classification methods for automatic facial expression recognition (FER) system, and proposes a recent proposed method called HLAC-like features (HLACLF).
Studies on DWT-OFDM and FFT-OFDM systems
TL;DR: In this article, the model for DWT-OFDM includes zero-padding and vector transpose for transmitting the OFDM signal MATLAB simulation commands are also described The discrete wavelet transform of OFDM has to satisfy the orthonormal bases and the perfect reconstruction properties to be considered as wavelets transform.
Journal ArticleDOI
A space-time model for mobile radio channel with hyperbolically distributed scatterers
TL;DR: In this paper, a geometrical and time-variant wireless vector channel model with hyperbolically distributed scatterers for a macrocell mobile environment is presented, which allows investigation of beamforming aspects as well as space-time processing techniques.
Journal ArticleDOI
A time-delay digital tanlock loop
TL;DR: The time-delay digital tanlock loop (TDTL) preserves the most important features of the conventional DTL (CDTL), such as reduced sensitivity to the variation of the signal power, and introduces improvement over the first-order CDTL under suitable choice of the circuit parameters.