So sánh phương pháp

	Bộ lọc khớp	Bộ lọc LMS Thích ứng
Lĩnh vực	Xử lý tín hiệu	Xử lý tín hiệu
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1943	1960
Người khởi xướng	D. O. North	Bernard Widrow and Marcian E. Hoff
Loại	Optimal filter for signal detection	Gradient descent adaptive filtering
Công trình gốc	North, D. O. (1943). An Analysis of the Factors Which Determine Signal/Noise Discrimination in Pulsed Carrier Systems. RCA Laboratories, Technical Report PTM-946.	Widrow, B., & Hoff, M. E. (1960). Adaptive Switching Circuits. IRE Wescon Convention Record, 4, 96–104.
Tên gọi khác	Correlation Detector, Optimal Filter Detection, Template Matching	LMS Filter, Adaptive LMS Algorithm, Gradient Descent Filtering
Liên quan	4	4
Tóm tắt	The matched filter is an optimal signal detector that maximizes the signal-to-noise ratio (SNR) for detecting a known signal in additive Gaussian noise. Developed by D. O. North during World War II for radar applications, the matched filter represents the optimal linear filter for signal detection and remains the foundation for detection theory and digital communications.	The Least Mean Squares (LMS) filter is an adaptive signal processing algorithm that continuously updates filter coefficients to minimize the squared error between the filter output and a desired signal. Introduced by Bernard Widrow and Marcian Hoff in 1960, the LMS algorithm is one of the most widely used adaptive filtering techniques due to its simplicity, low computational cost, and ability to track time-varying signals.