Abstract
An adaptive three-level delta modulation with a switched second-order linear prediction is proposed in this paper, intended for encoding the time-varying signals modeled by Gaussian distribution. The input signal is processed frameby- frame, and the adaptation of the quantizer is performed at the frame level. The signal at the output of quantizer is further processed using variable length encoder to decrease the bit rate. The performance is tested in speech coding, showing that the proposed algorithm provides much wider dynamic range and attains higher Signal to Noise Ratio with respect to the baselines, including CFDM, CVSDM and 2-bit Adaptive Delta Modulation.
Original language | English |
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Pages (from-to) | 125-130 |
Number of pages | 6 |
Journal | Advances in Electrical and Computer Engineering |
Volume | 18 |
Issue number | 3 |
DOIs | |
Publication status | Published - 1 Aug 2018 |
Externally published | Yes |
Keywords
- Delta modulation
- Huffman coding
- Predictive coding
- Signal to noise ratio
- Speech coding