Irfan Ahmed

Irfan Ahmed
University of Engineering and Technology, Peshawar · Department of Electrical Engineering

PhD

About

12
Publications
2,452
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21
Citations

Publications

Publications (12)
Article
Full-text available
Sampling matrices used in compressed sensing framework are mostly randomly structured and thus inefficient in terms of memory utilization, reconstruction speed, and computational resources utilization. Recent use of learning based optimised sensing matrices are proven to be energy efficient and computationally feasible. However, such matrices are d...
Article
The advent of modern digital technologies has made multimedia communication systems one of the most demanding technologies of the time. The use of available bandwidth for efficient and errorless multimedia communication is the key challenge for the wireless communication research community. However, a wireless network has the disadvantage of being...
Article
Full-text available
Compressive sensing allows the reconstruction of original signals from a much smaller number of samples as compared to the Nyquist sampling rate. The effectiveness of compressive sensing motivated the researchers for its deployment in a variety of application areas. The use of an efficient sampling matrix for high-performance recovery algorithms im...
Article
Full-text available
Signal sampling is an important concern for compressive sensing framework. The use of efficient sampling may enhance the overall performance by collecting informative samples. The work done in this paper is aimed to propose the efficient sampling matrix for speech compressive sensing by reviewing the reconstruction results obtained via conventional...
Article
Compressed sensing is based on the recovery of original signal from the low-quality and incomplete samples. Recently, \(\ell _1\)-norm is used for the estimation of signal elements from the underdetermined set of equations. In this paper, we propose a technique for speech signal recovery called block sparse Bayesian learning. The proposed technique...
Article
Full-text available
There are millions of texts store in both off line and online forms. To utilize these documents properly, there is need of organizing these documents systematically and lots of applications are available for this purpose. Text classification is an important area of image processing deal with how the document belongs to its suitable class or categor...
Article
Full-text available
This work presents an optimization method for the synthesis of finite state machines. The focus is on the reduction in the onchip area and the cost of the circuit. A list of finite state machines from MCNC91 benchmark circuits have been evolved using Cartesian Genetic Programming. On the average, almost 30% of reduction in the total number of gates...
Conference Paper
Full-text available
The availability of standard speech database is of paramount importance in the automatic speech recognition (ASR) research in the context of providing a baseline for comparing the performance of automatic speech recognition approaches. This paper presents the development of a Medium-Vocabulary Speech Corpus for Pashto language. The vocabulary encom...
Data
The availability of standard speech database is of paramount importance in the automatic speech recognition (ASR) research in the context of providing a baseline for comparing the performance of automatic speech recognition approaches. This Corpus contains a MediumVocabulary Speech Corpus for Pashto language. The vocabulary encompasses 161 isolated...
Conference Paper
Full-text available
The availability of standard speech database is of paramount importance in the automatic speech recognition (ASR) research in the context of providing a baseline for comparing the performance of automatic speech recognition approaches. This paper presents the development of a Medium-Vocabulary Speech Corpus for Pashto language and development of Pa...

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