Key result
An optimized cosine-modulated nonuniform filter bank design using a single parameter for optimization was developed and applied for subband coding of ECG and speech signals.
A new iterative technique for designing nonuniform cosine modulated filter banks optimizes reconstruction error for subband coding of ECG and speech signals.
May facilitate ECG subband coding; extends engineering methods but leaves open clinical validation.
A simple iterative technique for the design of nonuniform cosine modulated filter banks (CMFBS) is presented in this paper. The proposed technique employs a single parameter for optimization. The nonuniform cosine modulated filter banks are derived by merging the adjacent filters of uniform cosine modulated filter banks. The prototype filter is designed with the aid of different adjustable window functions such as Kaiser, Cosh and Exponential, and by using the constrained equiripple finite impulse response (FIR) digital filter design technique. In this method, either cut off frequency or passband edge frequency is varied in order to adjust the filter coefficients so that reconstruction error could be optimized/minimized to zero. Performance and effectiveness of the proposed method in terms of peak reconstruction error (PRE), aliasing distortion (AD), computational (CPU) time, and number of iteration (NOI) have been shown through the numerical examples and comparative studies. Finally, the technique is exploited for the subband coding of electrocardiogram (ECG) and speech signals.
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Kumar et al. (2013) studied Electrocardiogram (ECG) and speech signals. Optimized cosine-modulated nonuniform filter bank design was evaluated on Peak reconstruction error (PRE), aliasing distortion (AD), computational (CPU) time, and number of iteration (NOI). An optimized cosine-modulated nonuniform filter bank design using a single parameter for optimization was developed and applied for subband coding of ECG and speech signals.
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