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- The Parks–McClellan algorithm, published by James McClellan and Thomas Parks in 1972, is an iterative algorithm for finding the optimal Chebyshev finite impulse response (FIR) filter. The Parks–McClellan algorithm is utilized to design and implement efficient and optimal FIR filters. It uses an indirect method for finding the optimal filter coefficients. The goal of the algorithm is to minimize the error in the pass and stop bands by utilizing the Chebyshev approximation. The Parks–McClellan algorithm is a variation of the Remez exchange algorithm, with the change that it is specifically designed for FIR filters. It has become a standard method for FIR filter design. (en)
- 帕克斯-麥克萊倫演算法（英語：Parks–McClellan algorithm），為一個用以設計最佳化有限脈衝響應濾波器（finite impulse response filter）的疊代演算法，由James McClellan和Thomas Parks於1972年的著作中提出。 此演算法的主要精神，在於利用疊代的方式最小化濾波器在通帶(pass band)和止帶(stop band)的最大誤差，因此有時也稱為最小化最大誤差演算法(Mini-max filter design)。由於帕克斯-麥克萊倫演算法也屬於Remez-exchange algorithm為了設計有限脈衝響應濾波器而產生的一種變形，因此也有人以Remez-exchange algorithm代稱。 (zh)
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- 14179 (xsd:nonNegativeInteger)
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- 帕克斯-麥克萊倫演算法（英語：Parks–McClellan algorithm），為一個用以設計最佳化有限脈衝響應濾波器（finite impulse response filter）的疊代演算法，由James McClellan和Thomas Parks於1972年的著作中提出。 此演算法的主要精神，在於利用疊代的方式最小化濾波器在通帶(pass band)和止帶(stop band)的最大誤差，因此有時也稱為最小化最大誤差演算法(Mini-max filter design)。由於帕克斯-麥克萊倫演算法也屬於Remez-exchange algorithm為了設計有限脈衝響應濾波器而產生的一種變形，因此也有人以Remez-exchange algorithm代稱。 (zh)
- The Parks–McClellan algorithm, published by James McClellan and Thomas Parks in 1972, is an iterative algorithm for finding the optimal Chebyshev finite impulse response (FIR) filter. The Parks–McClellan algorithm is utilized to design and implement efficient and optimal FIR filters. It uses an indirect method for finding the optimal filter coefficients. (en)
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- Parks–McClellan filter design algorithm (en)
- 帕克斯-麥克萊倫演算法 (zh)
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