Volume - 13 | Issue-1
Volume - 13 | Issue-1
Volume - 13 | Issue-1
Volume - 13 | Issue-1
Volume - 13 | Issue-1
Aim: The aim of the Bit Error Rate ( BER) Prediction Analysis on Novel Modified Daubechies wavelet transform based Channel Estimation in comparison with Traditional Least Square Method for Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) system. Materials and Methods: The categorizing is performed by adopting a sample size of n = 10 in Daubechies Wavelets with a sample size n = 10 in Traditional Least Square Method with Alpha error threshold by 0.05, 95% confidence interval, power 80% and simulation is performed using Python Programming software. Results and Discussion: The analysis of the results shows that the Daubechies Wavelets have a high accuracy of (94.36) in comparison with the Traditional Least Square Method (93.26). There is a statistically significant difference between the study groups with its value 0.0740 (p <0.005). Conclusion: Detection of systems using Daubechies Wavelets compared over Traditional Least Square Method with better accuracy.