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In the aim of natural interaction with machines, a framework must be developed to include the adaptability humans portray to understand gestures from context, from a single observation or from multipl...
It is well known that the parameter error as well as the model-plant mismatch error in a model reference adaptive scheme tends exponentially to zero iff a certain sufficient richness condition holds f...
Using Generalized Harmonic Analysis, a complete description of parameter convergence in Model Reference Adaptive Control (MRAC) is given in terms of the spectrum of the exogenous reference input signa...
One area of active interest in the GNSS community is determining the vulnerability of multi-antenna signal processing algorithms given calibration errors in antennas and analog front-end hardware. Err...
Suppose we can sequentially acquire arbitrary linear measurements of an n-dimensional vector x resulting in the linear model y = Ax + z, where z represents measurement noise. If the signal is known to...
Intra prediction is one effective method to remove the spatial redundancies in intra frame coding. Better intra prediction will result in the residual with less energy, which will decrease the number...
An interpolation oriented adaptive down-sampling algorithm is proposed for low bit-rate image coding in this paper.Given an image, the proposed algorithm is able to obtain a low resolution image, from...
The main problem of particle filter (PF) in nonlinearstate estimation is the particle degeneracy. Resampling operationsolves degeneracy to some extent, but it results in the problem ofsample impoveris...
Motivated by theoretical analysis of the curve fitting problem based on equivalent kernel, in this paper we propose a local adaptive learning and fusion model for side information interpolation in dis...
The short-time Fourier transform (STFT) is a classical tool, used for characterizing the time varying signals. The limitation of the STFT is its fixed time-frequency resolution. Thus, an enhanced vers...
This paper presents a subspace SVM ensemble algorithm for adaptive relevance feedback (RF) learning. Our method deals with the case that user’s relevance feedback examples are usually insufficient and...
Super resolution technique was first proposed for enhancing the image resolution, and then it was expanded to video sequence for obtaining a higher resolution video from low resolution input. Recently...
Scalable Wyner-Ziv video coding is desirable, especially for mobile devices with limited computational resources and bandwidth. However, the conventional bit-plane representation used in hybrid video ...
Reversible variable length coding (RVLC) is an important robust entropy coding technique for error resilient video transmission. The popular DCT-based video codecs all can use it. RVLC supports both...
Reduced Resolution Update (RRU) video coding provides a better compression performance than H.264/AVC does. It is implemented by encoding the predicted residuals after downsampling at the encoder and...

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