TH170266A - Model-based predictions in the critical sampling filter library. - Google Patents

Abstract

This description deals with audio source coding systems. In particular, it deals with audio source coding systems that utilize linear prediction in combination with a filter library. A method for evaluating a first sample (615) of a first subband signal in a first subband of an audio signal is described. The first subband of the audio signal is determined using an analytical filter library (612) comprising several analytical filters that, in turn, produce multiple subband signals in multiple subbands from the audio signal. The method comprises determining the parameters of a model (613) of the signal model; determining the prediction coefficients to be applied to a previous sample (614) of the decoded first subband signal obtained from the first subband signal according to the signal model, according to the parameters of the model (613), and according to the analytical filter library (612); wherein the time slot of the previous sample (614) is prior to the time slot of the first sample (615); and determining the estimated values. of the first sample (615) by applying the prediction coefficient to the previous sample (614) (Fig. 6b).

Claims (2)

This description concerns a source coding system. In particular, it concerns a source coding system that utilizes linear prediction in combination with a filter library. A method for evaluating a first sample (615) of a first subband signal in a first subband of an audio signal is described. The first subband of the audio signal is determined using an analytical filter library (612) comprising several analytical filters that, in turn, produce multiple subband signals in multiple subbands from the audio signal. The method comprises determining the parameters of a model (613) of the signal model; determining the prediction coefficients to be applied to a previous sample (614) of the decoded first subband signal obtained from the first subband signal according to the signal model, according to the parameters of the model (613), and according to the analytical filter library (612); wherein the time slot of the previous sample (614) is prior to the time slot of the first sample (615); and determining the estimated values. Of the first example (615), by applying the prediction coefficients to the previous example (614) (Figure 6b), the claim (first) which appears on the advertisement page: 1. A method for evaluating a first sample (615) of a first subband signal in a first subband of an audio signal; wherein the first subband of the audio signal is determined using an analytical filter library (61 2. It consists of several analytical filters which will provide multiple sub-band signals in multiple sub-bands from the audio signal, respectively. The method will comprise - determining the model parameters (61 tags :