JP2019521398A5

JP2019521398A5 -

Info

Publication number: JP2019521398A5
Application number: JP2019511820A
Authority: JP
Filing date: 2017-05-09
Publication date: 2020-06-18
Anticipated expiration: 2037-05-09

Claims

A low pass filter having a determined filter coefficient and configured to filter the input signal;
An encoder configured to generate a quantized signal based on the difference signal,
The encoder is an adaptive quantizer,
A decoder configured to generate a feedback signal and having an inverse quantizer and a predictor circuit,
The device, wherein the predictor circuit has a control parameter determined based on a frequency response of the low pass filter.

The determined filter coefficient of the lowpass filter is a fixed filter coefficient of the lowpass filter, the predictor circuit includes a finite impulse response (FIR) filter, and the determined control parameter of the predictor circuit is: The apparatus of claim 1 including fixed filter coefficients of the FIR filter.

The apparatus of claim 1, wherein the encoder includes a coding circuit configured to generate a codeword based on a quantized signal word generated by the adaptive quantizer.

The encoding circuit is
The quantized signal word is not associated with the corresponding encoded codeword,
4. The apparatus of claim 3 , configured to generate an escape code in response to at least one of a signal channel end of a signal to be encoded and an end of the signal to be encoded. ..

The apparatus of claim 3 , wherein the encoding circuit is configured to generate the codeword using Huffman encoding.

The apparatus of claim 1, wherein the adaptive quantizer is a variable rate quantizer.

The apparatus according to claim 6 , wherein a step size and a bit rate of the quantized signal generated by the adaptive quantizer are variable.

The adaptive quantizer is
d _n+1 =βd _n +m(c _n /L _factor )
Is configured to control the step size, where c _n is the current quantized signal word, d _n corresponds to the current step size in the logarithmic domain, L _factor is the load factor, and m (C _n /L _factor ) is a logarithmic multiplier selected based on the current quantized signal c _n and the load coefficient L _factor , β is a leakage coefficient, and d _n +1 is a next quantized signal. 7. The apparatus according to claim 6 , corresponding to a step size of the logarithmic domain applied to the word cn ₊₁ .

The adaptive quantizer is
d _n+1 =max(βd _n +m(c _n /L _factor ), d _min ).
Is configured to control the step size, where c _n is the current quantized signal word, d _n corresponds to the current step size in the logarithmic domain, L _factor is the load factor, and m _(c n _{/ L factor)} is the logarithm multiplier selected based on the current quantized signal _{c n} and the load factor _{L factor,} beta is a leak _{factor, d min} is the threshold step size of the logarithmic domain in and, d n ₊₁ corresponds to the step size of the logarithmic region to be applied to the next quantized signal word c _{n + 1,} apparatus according to claim 6.

Filtering the input signal, said filtering step using a low-pass filter having the determined filter coefficients;
Encoding the filtered input signal using a feedback loop.
The encoding step includes
Generating a quantized signal based on the difference signal using an adaptive quantizer;
Generating a feedback signal based on the quantized signal using an inverse quantizer and a predictor circuit having a control parameter determined based on a frequency response of the low pass filter;
Generating the difference signal based on the feedback signal and the filtered input signal.

Generating a codeword based on the quantized signal word generated by the adaptive quantizer,
The method according to claim 10 .

The quantized signal word is not associated with the corresponding encoded codeword,
The end of the signal channel of the signal to be encoded, and the end of the signal to be encoded,
Generating an escape code in response to at least one of
The method according to claim 11 .

The step size of the adaptive quantizer is
d _n+1 =max(βd _n +m(c _n /L _factor ), d _min ).
According to the present invention, where c _n is the current quantized signal word, d _n corresponds to the current step size in the logarithmic domain, L _factor is the load factor, and m(c _n /L _factor ) is a logarithmic multiplier selected based on the current quantized signal c _n and the load coefficient L _factor , β is a leakage coefficient, d _min is a threshold step size of the logarithmic domain, and d _n+1 Corresponds to the step size of the logarithmic domain applied to the next quantized signal word c _n+1 ,
The method according to claim 10 .

A device,
A decoder configured to generate a decoded signal based on the quantized signal, the decoder comprising:
An inverse quantizer,
A predictor circuit, the apparatus further comprising:
An apparatus comprising: a low pass filter having a determined filter coefficient and configured to receive an output of the decoder, the predictor circuit having a control parameter determined based on a frequency response of the low pass filter.

The determined filter coefficient of the lowpass filter is a fixed filter coefficient of the lowpass filter, the predictor circuit includes a finite impulse response (FIR) filter, and the determined control parameter of the predictor circuit is 15. The apparatus of claim 14 , including fixed filter coefficients of the FIR filter.

15. The apparatus of claim 14 , wherein the decoder includes decoding circuitry configured to generate a quantized signal word based on codewords in a bitstream received by the decoder.

The decoding circuit is
An escape code indicates that the bitstream contains a quantized signal word,
The escape code indicates the end of the signaling channel,
The apparatus of claim 16 , wherein the escape code is configured to respond to at least one of indicating the end of the signal to be encoded.

The apparatus of claim 16 , wherein the decoding circuit is configured to decode codewords in the bitstream using Huffman coding.

15. The apparatus of claim 14 , wherein the dequantizer is a variable rate dequantizer.

The inverse quantizer is
d _n+1 =βd _n +m(c _n /L _factor )
Is configured to control the step size, where c _n is the current quantized signal word, d _n corresponds to the current step size in the logarithmic domain, L _factor is the load factor, and m (C _n /L _factor ) is a logarithmic multiplier selected based on the current quantized signal c _n and the load coefficient L _factor , β is a leakage coefficient, and d _n +1 is a next quantized signal. 15. The apparatus of claim 14 , corresponding to a step size of the logarithmic domain applied to word c _n+1 .

The inverse quantizer is
d _n+1 =max(βd _n +m(c _n /L _factor ), d _min ).
Is configured to control the step size, where c _n is the current quantized signal word, d _n corresponds to the current step size in the logarithmic domain, L _factor is the load factor, and m _(c n _{/ L factor)} is the logarithm multiplier selected based on the current quantized signal _{c n} and the load factor _{L factor,} beta is a leak _{factor, d min} is the threshold step size of the logarithmic domain 15. The apparatus of claim 14 , wherein d _n +1 corresponds to the step size of the logarithmic domain applied to the next quantized signal word c _n+1 .

Decoding a coded signal using a feedback loop, the decoding step comprising:
Dequantizing the quantized signal using an inverse quantizer,
Generating a prediction signal based on the quantized signal using a predictor circuit;
Filtering the decoded signal with a low pass filter having determined filter coefficients, the predictor circuit having control parameters determined based on a frequency response of the low pass filter.

Generating a quantized signal word based on a codeword included in the bitstream of the encoded signal,
23. The method of claim 22 .

24. The method of claim 23 , comprising using escape coding to generate the quantized signal word based on the codeword.

A device,
An encoder configured to generate a quantized signal word based on the difference signal,
The encoder is
An adaptive quantizer, wherein the step size applied by the adaptive quantizer is generated in a feedback loop based on the load factor and the quantized signal word generated by the adaptive quantizer,
The encoder further comprises a decoder configured to generate a prediction signal and having a dequantizer and a predictor circuit,
The apparatus further includes an encoding circuit configured to generate a codeword based on the quantized signal word generated by the adaptive quantizer, the encoding circuit including a corresponding encoded codeword An apparatus configured to generate an escape code in response to an unrelated quantized signal word.

The encoding circuit is
26. The apparatus of claim 25 , configured to generate an escape code in response to at least one of an end of signal channel and an end of signal to be encoded.

The apparatus of claim 25 , wherein the encoding circuit is configured to generate the codeword using Huffman encoding.

The feedback loop is
d _n+1 =βd _n +m(c _n /L _factor )
Accordingly be configured to generate the step size, wherein, c _n is the current quantized signal word, d _n corresponds to the current step size in the logarithmic domain, L _factor is at the load factor , M(c _n /L _factor ) is a logarithmic multiplier selected based on the current quantized signal c _n and the load coefficient L _factor , β is a leakage coefficient, and d _n +1 is a next quantum. 26. The apparatus of claim 25 , which corresponds to a step size of the logarithmic domain applied to a digitized signal word c _n+1 .

The feedback loop is
d _n+1 =max(βd _n +m(c _n /L _factor ), d _min ).
Accordingly be configured to generate the step size, wherein, c _n is the current quantized signal word, d _n corresponds to the current step size in the logarithmic domain, L _factor is at the load factor , M(c _n /L _factor ) is a logarithmic multiplier selected based on the current quantized signal c _n and the load coefficient L _factor , β is a leakage coefficient, and d _min is a threshold of the logarithmic domain. 26. The apparatus of claim 25 , which is a step size and d _n +1 corresponds to the step size of the logarithmic domain applied to the next quantized signal word c _n+1 .

Method,
Encoding the signal, said encoding step comprising:
Generating a quantized signal word based on the difference signal, the quantization step size being determined in a feedback loop based on the load factor and the generated quantized signal word.
Generating a prediction signal based on the generated quantized signal word;
Generating the difference signal based on the signal to be encoded and the prediction signal;
Generating a codeword based on the quantized signal word, the step of generating the codeword generating the escape code in response to the quantized signal word not associated with the corresponding encoded codeword. Including the method.

The end of the signal channel of the signal to be encoded, and the end of the signal to be encoded,
Generating an escape code in response to at least one of
31. The method of claim 30 .

Generating the codeword using Huffman coding,
31. The method of claim 30 .

A device,
A decoding circuit configured to generate a quantized signal word based on a codeword included in the bitstream, wherein the escape code in the bitstream indicates that the quantized signal word is included in the bitstream. A decoding circuit configured to respond,
An inverse quantizer, wherein the step size applied by the inverse quantizer is generated in a feedback loop and is based on the load factor and the quantized signal word received by the inverse quantizer from the decoding circuit. An inverse quantizer,
A predictor circuit coupled to the inverse quantizer.

The encoding circuit is
34. The apparatus of claim 33 , configured to respond to at least one of an escape code indicating an end of a signaling channel and an end of the signal to be encoded.

34. The apparatus of claim 33 , wherein the encoding circuit is configured to generate the quantized signal word using Huffman encoding.

The feedback loop is
d _n+1 =dn+m(c _n /L _factor )
Accordingly be configured to generate the step size, wherein, c _n is the current quantized signal word, d _n corresponds to the current step size in the logarithmic domain, L _factor is at the load factor , M(c _n /L _factor ) is a logarithmic multiplier selected based on the current quantized signal c _n and the load coefficient L _factor , β is a leakage coefficient, and d _n +1 is a next quantum. 34. The apparatus of claim 33 , which corresponds to a step size of the logarithmic domain applied to a signalized signal word c _n+1 .

The feedback loop is
d _n+1 =max(βd _n +m(c _n /L _factor ), d _min ).
Accordingly be configured to generate the step size, wherein, c _n is the current quantized signal word, d _n corresponds to the current step size in the logarithmic domain, L _factor is at the load factor , M(c _n /L _factor ) is a logarithmic multiplier selected based on the current quantized signal c _n and the load coefficient L _factor , β is a leakage coefficient, and d _min is a threshold of the logarithmic domain. 34. The apparatus of claim 33 , which is a step size and d _n +1 corresponds to the step size of the logarithmic domain applied to the next quantized signal word c _n+1 .

Method,
Generating a quantized signal word based on a codeword included in the bitstream, the step of responding to an escape code in the bitstream indicating that the quantized signal word is included in the bitstream. A step of dequantizing the generated quantized signal word, the step size being applied in the dequantizing step in a feedback loop based on the load factor and the generated quantized signal word. Determined by the steps,
Generating a prediction signal based on the generated quantized signal word.

The step of generating the quantized signal word comprises:
39. The method of claim 38 , comprising the step of responding to at least one of an escape code indicating an end of a signaling channel and an end of the signal to be encoded.

39. The method of claim 38 , wherein generating the quantized signal word comprises using Huffman coding.