Wireless channels exhibit multipath and time dispersion that lead to attenuation rnand inter-symbol interference (ISI). In order to compensate the effect of ISI caused byrnchannels, equalization techniques are introduced on receiver ends. The increasingrndemand for high-speed data transmission over band limited channels makes thernapplications of training-based equalization methods more challenging due to constantrntransmission of the pilot signals/training sequences which consumes a lot of bandwidthrnand power. Blind equalizations, a category of equalization techniques, requires norntraining sequences to track and compensation the effect of ISI channel. Thesernequalizations are applicable in many practical areas such as audio broadcasting inrnwhich training-based equalizations are not mainly applied and use only the receivedrnsignals to equalize the channel. rnThis thesis focuses on the performance analysis of three blind equalization rntechniques; namely, Variable Step Size Constant Modulus Algorithm (VSS-CMA),rnDecision Feedback Equalizer Constant Modulus Algorithm (DFE-CMA) and jointrnVSSCMA-Decision Directed Least Mean Square (DDLMS) algorithm for application inrnaudio broadcasting. To ease visualization of results and see the effect of changingrnvarious parameters a Graphical User Interface (GUI) is developed. Comparison of thernresults of the above three blind equalization algorithms were compared with twornadditional blind equalization algorithms: Constant Modulus Algorithm (CMA) andrnMulti Modulus Algorithm (MMA). rnThe simulation results are evaluated using Mean Square Error (MSE), symbols rnconstellation plots, convergence rate, computation time and complexity as performancernmetrics. Rectangular 16-Quadrature Amplitude Modulation (QAM) scheme, ISI channelrnwith Additive White Gaussian Noise and three other channel models for GUIrnsimulation are considered.