Theoretical analysis of the ADPCM CCITT algorithm

Bonnet, Madeleine; Macchi, Odile

doi:10.1109/26.57477

Cited by 14 publications

(2 citation statements)

References 9 publications

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“…The coefficients of the all-zero filter are updated according to the quantised difference signal with the sign-sign LMS algorithm involving coefficient leakage. To shorten the impact of transmission errors in the decoder the all-pole filter is updated as an all-zero one according to the partially reconstructed signal [2]. For preserving the stability of the filter constraints are placed on the coefficients of the all-pole filter.…”

Section: Test Programmentioning

confidence: 99%

Comparison of three fixed point signal processors for waveform coding of speech

Makelainen¹

1991

1991 IEEE International Symposium on Circuits and Systems (ISCAS)

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An economical realisation of speech coding calls for a fixed point digital signal processor (DSP) instead of a floating point one. The best way to compare the suitability of DSPs for waveform coding of speech is to implement a representative piece of a speech coding program with each processor. The programmable fixed point single chip processors chosen for comparison are the three highly popular DSPs used today: the TMS320C25 of Texas Instruments, the DSP56001 of Motorola and the DSP16 of AT&T. Although the architectures of these processors are already several years old, they still represent the state of the art of fixed point DSPs. The performance of each DSP is evaluated in the implementation of the adaptive predictor of the lower sub-band for the SB-ADPCM codec. The results are presented both as number of instruction cycles and as execution times including the effect of instruction cycle length. The results seem to favour DSPs with short instruction cycles against DSPs wit!! large complicated instruction sets. The conditional instructions that can replace conditional jumps are found to be essential for the speed of execution.

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Section: Test Programmentioning

confidence: 99%

Comparison of three fixed point signal processors for waveform coding of speech

Makelainen¹

1991

1991 IEEE International Symposium on Circuits and Systems (ISCAS)

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“…Assume that (8) has a solution of the form u=eYt (9) where may be complex. Substituting (9) into (8) gives…”

Section: : Introductionmentioning

confidence: 99%

<title>Search for chaotic output from a sigma-delta modulator: an archetypal retarded nonlinear system</title>

et al. 1993

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One of the most common methods by which a non-linear physical system can be determined to be stable, globally unstable or in fact chaotic is by an investigation of its Lyapunov exponents. When the system in question can be represented by a set of ordinary differential equations the extraction of these exponents is straightforward. However, when the system contains a delay equation the correct co-ordinate space for the system is infinite dimensional. In this case special techniques must be used to make the problem solvable by numerical methods. 194

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Digital underwater voice communications

Sari

Woodward

2002

Underwater Acoustic Digital Signal Processing and Communication Systems

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Theoretical analysis of the ADPCM CCITT algorithm

Cited by 14 publications

References 9 publications

Comparison of three fixed point signal processors for waveform coding of speech

Comparison of three fixed point signal processors for waveform coding of speech

<title>Search for chaotic output from a sigma-delta modulator: an archetypal retarded nonlinear system</title>

Digital underwater voice communications

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