Author

Md. Mamun

Institute of Visual Informatics, University Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

4 articles in our journals

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Research ArticleOpen accessHardware Approach of a Multipurpose Finite Impulse Response Filter for Real-Time Filtering ApplicationsMd. Syedul Amin, Md. Mamun, Labonnah F. RahmanProblem statement: Finite Impulse Response (FIR) filters are widely used in various DSP applications. The design of digital FIR filters is a very basic problem in digital signal processing. A FIR filter with multiple operation capability is certainly very useful for any real-time filtering applications. This article presents a multipurpose FIR filter design modeled by the hardware description language VHDL … …American Journal of Applied Sciences, Vol. 8, Issue 12 · 11 Oct 2011 · 7,150 accessesView PDF Cite

Research ArticleOpen accessSingle Core Hardware Module to Implement Boolean Function Classification TechniquesMohd. Marufuzzaman, Md. Mamun, Fazidah Hanim Hashim, Labonnah F. RahmanProblem statement: Boolean function classification plays an important role in the field like technology mapping for digital circuit design, function mapping for minimization and the development of universal logic modules. Approach: In this study, we present a single core hardware module to implement Boolean function classification techniques on Altera FLEX10K FPGA device for lossless data compression. The compression algorithm was … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 7 Oct 2011 · 7,408 accessesView PDF Cite

Research ArticleOpen accessA Single Core Hardware Module of a Data Compression Scheme Using Prediction by Partial Matching TechniqueJubayer Jalil, Md. Mamun, Mohd. Marufuzzaman, Hafizah HusainProblem statement: Compression is useful because it helps reduce the consumption of expensive resources, such as hard disk space or transmission bandwidth. For effective data compression, the compression algorithm must be able to predict future data accurately in order to build a good probabilistic model for compression. Lossless compression is essential in cases where it is important that the original … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 7 Oct 2011 · 7,255 accessesView PDF Cite

Research ArticleOpen accessDesign and Implementation of Novel Artificial Neural Network Based Stock Market Forecasting System on Field-Programmable Gate ArraysMd. Syedul Amin, Md. Mamun, Fazida Hanim Hashim et al.Problem statement: Multiagent system is very proficient and has rules well-suited for financial forecast with its neural network. In financial forecasting, the approach for rules extractions is less pertinent and involves algorithms which are complex. The unsupervised network method lacks in comprehensibility and leads to ambiguity. Approach: The application of neural network technology to real-time processing of financial market analysis … …American Journal of Applied Sciences, Vol. 8, Issue 10 · 12 Sep 2011 · 7,627 accessesView PDF Cite