विधियों की तुलना करें

	ज़ीरो-फोर्सिंग और न्यूनतम माध्य-वर्ग त्रुटि समकरण	टर्बो कोडिंग विथ इटरेटिव डिकोडिंग
क्षेत्र	दूरसंचार	दूरसंचार
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	1974	1993
प्रवर्तक	Saleh Mansour and Paul Zervos	Claude Berrou, Alain Glavieux, and Punya Thitimajshima
प्रकार	linear equalization algorithm	iterative error-correcting code
मौलिक स्रोत	Proakis, J. G. (2001). Digital Communications (4th ed.). McGraw-Hill.	Berrou, C., Glavieux, A., & Thitimajshima, P. (1993). Near Shannon limit error-correcting coding and decoding: Turbo-codes. In Proceedings of the IEEE International Conference on Communications (ICC), 1064-1070.
उपनाम	channel equalization, interference cancellation	iterative decoding, concatenated codes
संबंधित	5	5
सारांश	Zero-Forcing (ZF) and Minimum Mean-Square Error (MMSE) equalization are fundamental linear receiver algorithms for combating intersymbol interference in dispersive channels. Developed in the context of data transmission theory, these methods form the basis of modern channel equalization in wireless and wired systems. While ZF aggressively cancels interference, MMSE balances interference suppression with noise enhancement, making it the optimal linear solution under Gaussian noise.	Turbo codes, introduced by Berrou, Glavieux, and Thitimajshima in 1993, are a landmark in channel coding history. They achieve performance within 0.5 dB of the Shannon limit—the theoretical boundary for reliable communication—a feat previously thought impossible with practical complexity. Turbo codes use concatenated convolutional codes with an interleaver and iterative decoding via belief propagation. They were adopted in 3G (UMTS) and remain important in 4G/5G systems alongside LDPC codes.