About Me
Zafar Ahmad has over three years of specialized experience in advanced spectral and statistical signal processing. He
is currently pursuing a master’s in electrical engineering at SEECS NUST, where he focuses on enhancing cardiac
diagnostics through techniques such as STFT, Hilbert Transform, CWT, EMD, CSD, PCA, ICA, AR modeling, cross correlation,
entropy measures, skewness, and kurtosis. Proficient in time frequency analysis, he has completed
LabVIEW Core 1 and Core 2 courses and successfully integrated these methods into LabVIEW based projects on USRP
platforms. Additionally, he has experience in embedded systems development, working with TCP, UDP, RS 485,
RS 232, and Ethernet protocols. By integrating cutting edge algorithms with a comprehensive understanding of
signal dynamics, he addresses complex challenges in noise reduction, feature extraction, and pattern recognition.
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