Title :
MINLAB: minimum noise structure for ladder-based biorthogonal filter banks
Author :
Phoong, See-May ; Lin, Yuan-Pei
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fDate :
2/1/2000 12:00:00 AM
Abstract :
We introduce a minimum noise structure for ladder-based biorthogonal (MINLAB) filter bank. The minimum noise structure ensures that the quantization error has a unity noise gain, even though the filter bank is biorthogonal. The coder has a very low design and implementation cost. The perfect reconstruction property is structurally preserved. Optimal bit allocation and coding gain formulas are derived. We show that the coding gain of the optimal MINLAB coder is always greater than or equal to unity. For both AR(1) process and MA(1) process, the MINLAB coder with two taps has a higher coding gain than the optimal orthonormal coder with an infinite number of taps. In addition to its superior decorrelation ability, it has many other desired features that make it a potentially valuable and attractive alternative to the orthonormal coder, especially for a high-fidelity compression
Keywords :
autoregressive processes; channel bank filters; data compression; decorrelation; filtering theory; ladder filters; moving average processes; noise; prediction theory; quantisation (signal); signal reconstruction; transform coding; wavelet transforms; AR(1) process; MA(1) process; MINLAB filter bank; coding gain; decorrelation; high-fidelity compression; ladder-based biorthogonal filter banks; minimum noise structure; optimal MINLAB coder; optimal bit allocation; optimal orthonormal coder; perfect reconstruction property; quantization error; unity noise gain; very low design cost; very low implementation cost; Bit rate; Channel bank filters; Computational efficiency; Costs; Data compression; Decorrelation; Filter bank; Image coding; Noise cancellation; Quantization;
Journal_Title :
Signal Processing, IEEE Transactions on