We propose a frame-based multiple-description video coder. The analysis filter bank is the extension of an orthogonal filter bank which computes the spatial polyphase components of the original video frames. The output of the filter bank is a set of video sequences which can be compressed with a standard coder. The filter bank design is carried out by taking into account two important requireme...

Quadrature mirror filter (QMF) banks are essential building blocks of a subband/transform coder. Generally, one wants the filter bank to have the perfect reconstruction (PR) property, which means that, in absence of coding, a delayed copy of the original signal is reconstructed exactly in the critically-sampled analysis-synthesis system of Fig. 1. Although there are useful filter banks that are...

Data is said to follow the transform (or analysis) sparsity model if it becomes sparse when acted on by a linear operator called a sparsifying transform. Several algorithms have been designed to learn such a transform directly from data, and data-adaptive sparsifying transforms have demonstrated excellent performance in signal restoration tasks. Sparsifying transforms are typically learned usin...

Modern databases tailored to highly distributed, fault tolerant management of information for big data applications exploit a classical data structure for reducing disk and network I/O as well as for managing data distribution: The Bloom filter. This data structure allows to encode small sets of elements, typically the keys in a key-value store, into a small, constant-size data structure. In or...

In INS (Inertial Navigation System) /GPS (Global Positioning System) integration, nonlinear models should be properly handled. The most popular and commonly used method is the Extended Kalman Filter (EKF) which approximates the nonlinear state and measurement equations using the first order Taylor series expansion. On the other hand, recently, some nonlinear filtering methods such as Gaussian S...

Subband adaptive filters have been proposed to avoid the drawbacks of slow convergence and high computational complexity associated with time domain adaptive filters. Subband processing introduces transmission delays caused by the filter bank and signal degradations due to aliasing effects. One efficient way to reduce the aliasing effects is to allow a higher sample rate than critically needed ...

In this paper, a digital compensation scheme for coefficient errors of a complex filter bank parallel A/D converter in low-IF receivers is presented. The complex filter bank is employed to suppress DC offset and image signals in the lowIF receivers and relax the requirements on the conversion rate and resolution of A/D converters. The proposed compensation scheme regenerates interference due to...

Image is a multimedia component rich in information and has an essential role as provider. However, the images encountered often experience decrease quality, such defects or noise, causing conveyed from these less clear. Noise causes image to be too contrasted, blurry, not sharp enough. One type of noise contrast noise. Smoothing here one operations improve quality which aims smooth out with un...

Background. The presence of a noise component on 3D images single-photon emission computed tomo­graphy (SPECT) brain significantly distorts the probability distribution function (PD) radioactive count rate in images. and further filtering data, based subjective assessment image quality, have significant impact calculation volumetric cerebral blood flow values uptake asymmetry radiopharmaceutica...