يجب تسجيل الدخول أولا
Optimal IIR Filter Design Using Gravitational Search Algorithm with Wavelet Mutation
| المصدر: | مجلة جامعة الملك سعود - علوم الحاسب والمعلومات |
|---|---|
| الناشر: | جامعة الملك سعود |
| المؤلف الرئيسي: | Saha, S. K. (Author) |
| مؤلفين آخرين: | Ghoshal, Sakti Prasad (Co-Author) , Mandal, Durbadal (Co-Author) , Kar, R. (Co-Author) |
| المجلد/العدد: | مج27, ع1 |
| محكمة: | نعم |
| الدولة: |
السعودية |
| التاريخ الميلادي: |
2015
|
| الصفحات: | 25 - 39 |
| DOI: |
10.33948/0584-027-001-003 |
| ISSN: |
1319-1578 |
| رقم MD: | 973487 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | science |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
IIR Filter | GSAWM | Evolutionary Optimization Techniques | Magnitude Response | Pole Zero Plot | Stability
|
| رابط المحتوى: |
| المستخلص: |
This paper presents a global heuristic search optimization technique, which is a hybridized version of the Gravitational Search Algorithm (GSA) and Wavelet Mutation (WM) strategy. Thus, the Gravitational Search Algorithm with Wavelet Mutation (GSAWM) was adopted for the design of an 8th-order infinite impulse response (IIR) filter. GSA is based on the interaction of masses situated in a small isolated world guided by the approximation of Newtonian’s laws of gravity and motion. Each mass is represented by four parameters, namely, position, active, passive and inertia mass. The position of the heaviest mass gives the near optimal solution. For better exploitation in multidimensional search spaces, the WM strategy is applied to randomly selected particles that enhance the capability of GSA for finding better near optimal solutions. An extensive simulation study of low-pass (LP), high-pass (HP), band-pass (BP) and band-stop (BS) IIR filters unleashes the potential of GSAWM in achieving better cut-off frequency sharpness, smaller pass band and stop band ripples, smaller transition width and higher stop band attenuation with assured stability |
|---|---|
| ISSN: |
1319-1578 |
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