This paper introduces a receiving scheme designed to mitigate the adverse effects of intersymbol interference (ISI) in digital transmissions protected by convolutional codes. The scheme, called turbo-equalization, involves two successive soft-output decisions: symbol detection and channel decoding, performed iteratively. At each iteration, extrinsic information is extracted from the detection and decoding steps and used in the next iteration, similar to turbo-decoding. The receiver is structured in a modular way, with its performance directly related to the number of modules used. Simulation results on both Gaussian and Rayleigh channels show that turbo-equalization effectively manages multipath effects, achieving complete compensation on Gaussian channels and partial but satisfactory results on Rayleigh channels. The method's effectiveness is highlighted, particularly in overcoming multipath effects in digital communications.This paper introduces a receiving scheme designed to mitigate the adverse effects of intersymbol interference (ISI) in digital transmissions protected by convolutional codes. The scheme, called turbo-equalization, involves two successive soft-output decisions: symbol detection and channel decoding, performed iteratively. At each iteration, extrinsic information is extracted from the detection and decoding steps and used in the next iteration, similar to turbo-decoding. The receiver is structured in a modular way, with its performance directly related to the number of modules used. Simulation results on both Gaussian and Rayleigh channels show that turbo-equalization effectively manages multipath effects, achieving complete compensation on Gaussian channels and partial but satisfactory results on Rayleigh channels. The method's effectiveness is highlighted, particularly in overcoming multipath effects in digital communications.