Two Channel Estimation Methods for MIMO-OFDM System

Adaptive Filter is a part of the modern communication system. The applications of the adaptive filters are channel equalization, noise cancellation, system identification and adaptive beam forming. So the proper implementation of adaptive filter is a great deal. The intersymbol interference (ISI) caused by the multipath in band limited frequency selective time dispersion channel distort the transmitted signal.  In this paper, we have concentrated on modifying the algorithm for the adaptive filter. The proposed VSS-LLMS and Modified Variable Step Size Leaky LMS (MVSS-LLMS) which improves the channel estimation in the noisy environment. Also we compared the results of our proposed algorithms with the LMS, RLS and VLLMS and observed that it improves in computational complexity and Bit Error Rate (BER) performance. Keywords: Adaptive Channel Estimation, Adaptive filter, LMS, RLS, VLLMS and MVSS-LLM

Assessing the Impact of Health Policy Reforms on Vulnerable Populations: A Social Science Perspective

Through the view of social science, this study takes a critical look at how changes to health policy affect people who are already at risk. As countries around the world make big changes to their health care systems, it's important to figure out how these changes affect weak and marginalised groups. Our study uses a social science approach to look into how changing health policies affect the lives of disadvantaged groups by exploring the complex web of social, economic, and cultural factors that affect them. The method uses a mix of quantitative and qualitative data analysis, with conversations and focus group talks with people from a range of disadvantaged groups to get more in-depth ideas. Through a broad lens, we want to find out the complex ways that changes in health policy interact with social factors that affect health, affecting the availability, cost, and quality of healthcare for weak groups. Early results show that vulnerable groups bear an unfair amount of the load, showing differences in healthcare outcomes, hurdles to entry, and differences in healthcare service. The study also explores the role of social support networks, community engagement, and cultural competence in mitigating or exacerbating the effects of health policy reforms on vulnerable populations.The implications of this research extend beyond academia, offering practical insights for policymakers, healthcare professionals, and advocacy groups to formulate inclusive policies that address the unique needs of vulnerable populations. By fostering a deeper understanding of the social dynamics at play, this study contributes to the ongoing discourse on health equity and informs evidence-based interventions aimed at safeguarding the health and well-being of society's most marginalized members