An iterative linearised solution to the sinusoidal parameter estimation problem
Computers and Electrical Engineering(2016)
摘要
Signal processing applications use sinusoidal modelling for speech synthesis, speech coding, and audio coding. Estimation of the model parameters involves non-linear optimisation methods, which can be very costly for real-time applications. We propose a low-complexity iterative method that starts from initial frequency estimates and converges rapidly. We show that for N sinusoids in a frame of length L, the proposed method has a complexity of O(LN), which is significantly less than the matching pursuits method. Furthermore, the proposed method is shown to be more accurate than the matching pursuits and time-frequency reassignment methods in our experiments.
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关键词
sinusoidal modelling,iterative least-squares solution,low-complexity iterative method,audio coding,speech coding,iterative linearised solution,matching pursuits method,time-frequency reassignment method,speech synthesis,sinusoidal parameter estimation problem,matching pursuit,non-linear optimisation method,n sinusoid,sinusoidal modeling,parameter estimation,time frequency,signal processing,iteration method
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