تابوت سکینہ کی تلاش کا سبب

Lexical investigation of words/selected passages of Quran is among many ways of exegesis of Quran. Such work is compiled on the basis of an extensive analysis of the text of the Quran and consideration of lexical examination of Quranic words. Specialized works on aspects of Quranic vocabulary has been in the tradition of Islamic scholarship right from the beginning and there are a number of works that help in the etymological & philological understanding of difficult words of Quran.  The classic text by al-Raghib al-Isfahani named, Mufradat, is the best example of books that treat difficult words in the Quran. In this article, we have presented information regarding the works of scholars of Indian sub-Continent on the subject of Mufradat al-Quran (Selected passages of Quran). We have found that South Asian Scholars have written books abundantly in the field of Mufradaat and Luhgaat al Qur’an, in Arabic, English, Persian, Sindhi & Urdu languages. This study covers in detail an overview of the acclaimed works of subcontinent scholars which mainly split into precise and concise written books on the topic of Mufradat al Qur’an. Forty-eight books have been introduced in below pages. Our work is 1st step towards complete indexing of such works of Sub-continent scholars for easy access of scholars and researchers who want to do some research in this area.

Cross-Term Suppression in Wigner Distribution

Wigner Distribution, one of many methods to compute time frequency represen- tation, satisfies large number of mathematical properties and gives optimal energy concentration in time frequency plane. However, Wigner distribution suffers from severe cross-term interference problem, which limits its scope for practical appli- cations. Different modified versions of Wigner distribution have been developed to over- come its cross-term interference problem. Most of these techniques suppresses cross-term on the expense of quality of auto-terms. Schemes that compleltely remove cross-terms without affecting the resolution of Wigner distribution are computationally very expensive. This research proposes a computationally efficient solution to cross-term inter- ference problem based on image processing and fractional filtering. Signal com- ponents are located in time frequency plane using image processing. Fractional filters are then applied to separate signal components. Wigner distribution of separated signal components is computed and added up to obtain cross-term free crisp time frequency representation. Performance of the proposed time frequency representation is evaluated both on synthetic and real life bat signals. One of the most significant application of Wigner distribution is instantaneous frequency estimation of signals. However, Wigner distribution based instantaneous frequency can only be applied to mono-component signal because of its cross- term problem. In this study we extend Wigner distribution based instantaneous frequency estimation scheme to multi-component signals having non-overlapping time frequency representation.