Nonuniform sampling delta converters: design methodology
EHAC'06 Proceedings of the 5th WSEAS International Conference on Electronics, Hardware, Wireless and Optical Communications
Nonuniform sampling delta modulation: decoding problems
WSEAS Transactions on Circuits and Systems
Digital filter design using non-uniform sampling
AEE'07 Proceedings of the 6th conference on Applications of electrical engineering
Quadratic fluency DA functions as non-uniform sampling functions for interpolating sampled-values
WSEAS Transactions on Circuits and Systems
Non-uniform sampling delta modulation-principles of parameters design
WSEAS Transactions on Circuits and Systems
The theory and application of an adaptive moving least squares for non-uniform samples
WSEAS Transactions on Computers
Reducing jitter in nonuniform sampling drivers
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
Adaptive non-uniform sampling delta modulation for audio/image processing
IEEE Transactions on Consumer Electronics
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The method of design the values of the adapted parameters for 1-bit delta modulators is the subject of the paper. The method involves systems with adapting both parameters: the quantization step sizes or/and sampling intervals. The necessary values of the sampling intervals and the step sizes should be calculated before the modulation procedure starts. All of the data of the step sizes or/and time intervals are written into the Lookup Tables. Block diagram of the ANS-DM delta modulator based on the Lookup Tables is explained. Main parts of the article are devoted to the analytical relationships on the basis of which step sizes and sampling intervals can be calculated. These formulas have been used in the program SYMMOD to computation particular values of the step sizes and sampling intervals. Two parameters adaptation in the delta modulation makes the modulator and it's algorithm more complicated but decreases considerably the required number of sampling intervals and step sizes thus improving the quality of conversion (SNR) in relation to the solutions with only one parameter adaptation.