Trellis quantization is an algorithm that can improve data compression in DCT-based encoding methods. It is used to optimize residual DCT coefficients after motion estimation in lossy video compression encoders such as Xvid and x264. Trellis quantization reduces the size of some DCT coefficients while recovering others to take their place. This process can increase quality because coefficients chosen by Trellis have the lowest rate-distortion ratio. Trellis quantization effectively finds the optimal quantization for each block to maximize the PSNR relative to bitrate. It has varying effectiveness depending on the input data and compression method.

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Trellis

allowing them to be easily compared Trellis modulation or trellis coded modulation, in telecommunications Trellis quantization, a method of improving data compression

Trellis (graph)

Nudd, G. R. (1993). The viterbi algorithm. University of Warwick, Department of Computer Science. Trellis modulation Trellis quantization v t e v t e

Xvid

quarter pixel motion compensation, lumi masking, trellis quantization, and H.263, MPEG and custom quantization matrices. Xvid is a primary competitor of the

JPEG 2000

coefficients, so the output does not require rounding (quantization) and so it does not introduce any quantization noise. It is used in lossless coding. The wavelet

TC-PAM

Trellis-coded pulse-amplitude modulation (TC-PAM) is the modulation format that is used in HDSL2 and G.SHDSL. It is a variant of trellis coded modulation

Joint source and channel coding

videotransmission. M. R. Soleymani & A. K. Khandani (1991). "Vector Trellis Quantization for Noisy Channels". In Bishnu S. Atal; Vladimir Cuperman & Allen

Viterbi decoder

benefits of soft decision decoding, one needs to quantize the input signal properly. The optimal quantization zone width is defined by the following formula:

Signal modulation

of the IF signal. Quantization of the amplitudes, frequencies or phases to the nearest allowed symbol values. Mapping of the quantized amplitudes, frequencies