By C. García-Mateo, D. Docampo-Amoedo (auth.), Professor Aníbal R. Figueiras-Vidal (eds.)
This ebook bargains with the appliance of complex electronic sign processing concepts and neural networks to numerous telecommunication difficulties. It involves 8 chosen contributions to the eu undertaking COST#229.
The editor provides the newest examine ends up in components comparable to arrays, cellular channels, acoustic echo cancellation, speech coding and adaptive filtering in various environments. He additionally offers an outline of recent methods to communique projects by utilizing new applied sciences. those contain: snapshot coding through fractals and neural networks and neural community channel equalisation. A deep perception is given into the current percentages and learn avenues within the quarter of knowledge processing for communique purposes. Digital sign Processing in Telecommunications may be of specific curiosity to researchers and telecommunications pros.
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Extra resources for Digital Signal Processing in Telecommunications: European Project COST#229 Technical Contributions
In this case, the algorithm has three stages, namely: 1. Estimation of the fundamental frequency of the periodic component, W J, using a pitch extraction algorithm. The authors have used the modified harmonic sieve algorithm described in . 2. Computation of the phase information for the periodic component, Ok, by using a least squares technique, considering the random component as additive nOIse. 3. Joint estimation of both sets of amplitudes, ak and bk , using the suboptimal distortion measure described in .
850-857.  1. Boyd and C. Southcott, "A Speech Codec for the Skyphone Service"; British Telecom Tech. 2, April 1988.  S. S. Atal, "Amplitude Optimization and Pitch Prediction in Multipulse Coders"; IEEE Trans. , vol 37, no. 3, March 1989, pp. 317-327.  D. Docampo, V. Abreu, and F. Gonzalez; "A New Approach to Multipulse Speech Coding"; European Transactions on Telecommunications, vol. -Dec. 1992, pp. 617-622.  B. Atal and J. Remde; "A New Model for LPC Excitation for Producing Natural Sounding Speech at Low Bit Rates"; Proc.
The stochastic codebook contains sparse codevectors with three non-zero pulses generated by a Gaussian process. The authors have investigated the use of different configurations for the adaptive codebook ranging from: multi-tap pitch predictor, single-tap pitch predictor and fractional-delay pitch predictor. According to subjective listening results , the integer-delay configuration, using an LPC order of 18, showed the best performance. 6 for the adaptive code- 34 book; the linear prediction coefficients are computed using Burg's algorithm and quantized using the log-area ratios (LAR coefficients) representation.
Digital Signal Processing in Telecommunications: European Project COST#229 Technical Contributions by C. García-Mateo, D. Docampo-Amoedo (auth.), Professor Aníbal R. Figueiras-Vidal (eds.)