DTS Coherent Acoustics encoder
| Project: DTS Coherent Acoustics encoder | |
|---|---|
| Featured: | |
| State | Stalled |
| Members | Danny Witberg |
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| Description | Make my own DTS encoder |
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This project descibes a possible hardware implementation of a DTS Coherent Acoustics Core Audio encoder. The DTS Coherent Acoustics coding system is used as a file format for playing multichannel digital audio, but also for transporting multichannel audio over a digital audio connection. It is frequently used as the preferred CODEC in movies on DVD, Bluray or downloadable format. The coding system offers an exsensible high quality compressed multichannel audio stream. The core stream has a maximum of 7 channels of fullband audio, with 1 low frequency effect channel, and a resolution of 24 bits and a sample rate of 48kHz. Apart from this core audio stream, an extended stream can be offered with additional channels and/or higher sampling rates. A decoder for the datastream must be able to decode the core stream, but decoding the extended is optional. This way, backwards compatibility is provided. The extended stream can contain up to 32 fullband channels, frequency extension for core audio streams as well as extended audio streams, and resolution enhancements for all channels up to lossless quality.
This project describes the hardware implementation of a core audio stream encoder, using an FPGA and Digital Signal Processors. It accepts up to 4 stereo SP/DIF digital audio connections, or a single ADAT multichannel stream, and converts it to the DTS compressed audio link.
How the DTS Coherent Acoustics CODEC works
A fullband channel is compressed in various ways, but always begins by dividing the channel into 32 subbands. After obtaining these 32 subbands, every subband can, but does not have to be, compressed with use of a adaptive differential method, also named ADPCM. This algorithm is used to send the difference that the signal has, compared to the previous sample, instead of the actual amplitude. In slow changing signals, low frequencies, this can be a very effective method to reduce the amplitude of the signal that has to be encoded. After this first step, linear scalar quantization is used to compress the amount of data that has to be transmitted. In other words, a clevery chosen lookup table is used to descibe the amplitude of the signal. After this quantization, the data may be further compressed by use of a huffman code. Finally, the remaining data is placed in the core audio stream.
