prediction filter
1.Architecture of a Configurable Two-Dimensional Adaptive Prediction Filter Used for Small Object Detection
2.When the strong tone interference exists in the Direct Sequence Spread Spec-trum(DSSS) system, the traditional linear prediction filter performs poorly.
3.Three types of adaptive filters, the adaptive prediction error filter (APEF), the two-side tapped adaptive transversal filter(ATF) and the adaptive lattice filter (ALF), are considered.
4.Closed form expressions are der-ived for estimates using the autoregressive (AR) prediction error filter approach,as well as using periodogram with Bartlett window, and the maximum likelihood(ML) method. These expressions are useful in the study of resolving closelyspaced sinusoidal signals.
5.The paper studies the theory and coding methods of the low bit rate video recommendation H.263+ detailedly, realizes real-time software codec based on H.263+ under Linux OS, furthermore, finishes some negotiable coding options which can observably improve the coding efficiency, such as Advanced Prediction mode, Advanced INTRA Coding mode, Deblocking Filter mode and Modified Quantization mode.
6.The mean absolute relative error of the prediction is reduced by 3.31% compared to that of network trained with raw data without filter.
7.It is expounded that the application of intra prediction, multi-block inter prediction, 1/4 and 1/8 fractional pixel motion estimation, multiple reference frames, integer transform, CABAC and deblock filter, etc.
8.Chapter II introduces the encoding principle of H.264/AVC and elaborates on its main function modules of H.264/AVC and new technologies being adopted: intra prediction, multi-block inter prediction, 1/4 and 1/8 fractional pixel motion estimation, multiple reference frames, integer transform, CABAC and deblock filter.
9.This method firstly filters complicated background noise with a band_pass filter,then macks prediction in time domain and affirm alarm in frequency domain.
10.Separating the image from row to column, combining lazy filter carries on the odd and even split and extracting the prediction operator and the update operator by the Euclid algorithm, which has accomplished 1 level of image decomposition by this the lifting scheme structuring Haar wavelet.
