A Simpliied Rate-distortion Optimization Procedure Relying on Statistical Subband and Noise Modeling

Rate-distortion otpimization procedures are very often used in rate allocation problems encountered in source encoders. However , these procedures can be, depending on the number of quantizers considered, very time consuming. This paper describes a sim-pliied approach relying on statistical signal and noise modeling. The strategy presented leads to performances comparable to a classical rate-distortion procedure with a significant reduction of computational cost, making real-time implementations very feasible.