Blind Equalization and Blind Deconvolution Algorithms

In the field of blind signal processing, I provide a MATLAB program containing implementations of blind equalization and blind deconvolution algorithms. This program features key signal processing techniques including adaptive filtering methods and statistical signal processing approaches for recovering original signals without prior knowledge of the transmission channel characteristics. The implementation includes algorithms such as Constant Modulus Algorithm (CMA) for blind equalization and higher-order statistics-based methods for blind deconvolution. The program enables users to process blind signals and extract meaningful information through sophisticated mathematical computations. Blind equalization and deconvolution represent crucial technologies applicable to signal recovery, communication systems, audio processing, and various other domains. Key functions include channel estimation, signal reconstruction, and performance evaluation metrics. By utilizing this program, researchers and engineers can gain deeper insights into the principles and methodologies of blind signal processing, with practical applications ranging from academic research to engineering projects. The code is structured with modular functions, clear parameter configuration, and comprehensive documentation to facilitate both understanding and customization for specific application requirements.