مرزا نیاز احمد بیگ
افسوس ہے کہ ۷؍ فروری کو دارالمصنفین کے ایک قدیم رکن مرزا نیاز احمد بیگ بھی رحلت فرماگئے، وہ اعظم گڑھ کے ممتاز اور کامیاب وکیل اور شہر کے عمائد میں تھے، مولانا شبلیؒ اور ان سے نسبت رکھنے والے تمام اداروں سے ان کو بڑا تعلق تھا، شبلیؒ نیشنل پوسٹ گریجویٹ کالج کی مجلس انتظامیہ کے برسوں رکن اور نائب صدر رہے، اب ان کی تمام تر توجہ دارالمصنفین کی طرف مرکوز ہوگئی تھی جس کی مجلس انتظامیہ کے وہ آخر دم تک رکن رہے، دارالمصنفین کے نازک اور بحرانی دور میں ان کے مفید قانونی مشوروں سے اس کو بڑا فائدہ پہنچا، اب وہ اپنے ایک سچے بہی خیرخواہ اور مخلص ہمدرد سے محروم ہوگیا، وہ صوم و صلوٰۃ کے ہمیشہ سے پابند رہے، حج بیت اﷲ سے بھی مشرف ہوئے، آخر عمر میں ان کی دینداری زیادہ بڑھ گئی تھی، علماء و صلحاء سے بھی تعلق رکھتے تھے، حضرت مولانا سید ابوالحسن علی ندوی سے خاص عقیدت تھی، اﷲ تعالےٰ ان کی بشری لغزشوں سے درگذر فرمائے۔ اور انھیں اپنے جوار رحمت میں جگہ دے۔
(ضیاء الدین اصلاحی، فروری ۱۹۸۸ء)
Sheikh Molana saleem ullah khan was born in Muzaffer Nagar in India. He belongs to hasan pur. He get degree of dura-e-nizami from Dar-ul-Uloom Deoband. In Deoband he received Education of Quran, Hadith and other related sciences through learned scholars of the time which includes Molana Hussain Ahmed Madani, Molana Izaz Ali, Molana Idrees kandahalvi and other religious personalities. After his education he start teaching and served as a teacher in many madaris. He was a prominent and renowned scholar.1n 1967 He laid the foundation of Jamia Farooqia Karachi. His entire services have been so much blessed by Almighty Allah that since its foundation, till now the Jamia has advanced a long way in Islamic Education and related fields which seems almost unbelievable. He left many books which based on his writing and narration of Hadith during different session of dura-e-Hadith. In this Article, I have tried my level best to elaborate sheikh saleem Ullah khan’s services as Author for Islamic literature and specially for Hadith Nabvi(s.w).
Majority of the time-frequency representations (TFRs) make some kind of compromise between auto-component’s resolution and cross-terms suppression during the analysis of time varying signals. Linear TFRs offer no cross-terms but have low resolution of auto-components. Quadratic TFRs offer better resolutions of auto- components but have cross-terms. The proposed research focuses on TFRs that can combine the advantages of both linear and quadratic TFRs. In the first part of this research, a modified form of Gabor Wigner Transform (GWT) has been proposed by using adaptive thresholding in Gabor Transform (GT) and Wigner Distribution (WD). The proposed GWT combines the advantages of both GT and WD and provides a powerful analysis tool for analyzing multi-component signals. This technique is however not very efficient for multi-component signals having large abrupt amplitude variation in its auto-components. In multi-component signal analysis where GWT fails to extract auto- components, the combination of signal processing techniques such as fractional Fourier transform (FRFT) and image processing techniques such as image thresholding and segmentation have proven their potential to extract auto- components. In the second part of this research, an algorithm is proposed for an effective representation in time-frequency domain called Modified Fractional GWT that combines the strengths of GWT, image segmentation and FRFT. This representation maintains the resolution of auto-components besides recognizing FRFT, a powerful tool for signal analysis. Performance analysis of proposed fractional GWT reveals that it provides solution of cross-terms of WD and worst resolution faced by linear TFRs. In the third part of this work, a novel algorithm for effective representation of multi-component signals in time-frequency domain is proposed. The scheme not only suppresses the cross terms but also ensures that all the auto-components even very weak ones are properly shown in time-frequency domain. The scheme also results in much localized time frequency representation (TFR). The algorithm uses the strengths of GWT and linear time-varying (LTV) filtering in time domain to design a filter in time-frequency domain that suppresses cross terms and enhances auto components through an iterative approach. Performance analysis of proposed algorithm reveals viithat it provides concentrated and high resolution auto-components which are desirable for a TFR. The TFRs are used to separate and extract signal’s auto-components which are buried in noise and are used to estimate the instantaneous frequency of a multi- component signal in low SNR scenarios. The modified GWT can be used for detection, identification and classification of power quality disturbances (such as voltage sag, voltage swell, transients and harmonics). The LTV based GWT and modified fractional GWT can be extended for IF estimation of auto-components of EEG Seizure.