This paper deals with the differentiation of discrete-time, quantized signal provided by an encoder. In particular, speed and acceleration estimation with large bandwidth is required for feedback control in automation and robotics applications. The main problem in the differentiation of the encoder measurements is to combine the large bandwidth and the strong filtering of the quantization noise...

A H.264/AVC encoder can incorporate many coding schemes, such as rate-distortion optimization (RDO), into its design to improve its compression performance, dramatically raising computational complexity. With the H.264/AVC RDO encoder, computation time is primarily spent calculating the rate-distortion cost in choosing the optimal coding mode for both inter and intra coding modes. Parallel comp...

Distributed video coding (DVC) is a new video coding paradigm based on two key Information Theory results: the Slepian-Wolf and Wyner-Ziv theorems. Recently, promising results were shown in Wyner-Ziv (WZ) video coding, a particular case of DVC. In the literature, many practical WZ coding approaches model the correlation noise between the original frame and the so-called side information by a gi...

Three-dimensional wavelet transform (3D-DWT) encoders are good candidates for applications like professional video editing, video surveillance, multi-spectral satellite imaging, etc. where a frame must be reconstructed as quickly as possible. In this paper, we present a new 3D-DWT video encoder based on a fast run-length coding engine. Furthermore, we present several multicore optimizations to ...

The ANS family of arithmetic coders developed by Jarek Duda has the unique property that encoder and decoder are completely symmetric in the sense that a decoder reading bits will be in the exact same state that the encoder was in when writing those bits—all “buffering” of information is explicitly part of the coder state and identical between encoder and decoder. As a consequence, the output f...

Distributed Video Coding is a new solution for video surveillance because of its low complexity of the encoder. This paper introduces Distributed Video Coding theory and traditional DVC framework, and come out a hardware realization on FPGA and gives optimization methods. This paper uses integer transformation instead of DCT to reduce the computational complexity and change the organization of ...

A time-domain analog spatial compressed sensing encoder for neural recording applications is proposed. Owing to the advantage of MEMS technologies, the number of channels on a silicon neural probe array has doubled in 7.4 years, and therefore, a greater number of recording channels and higher density of front-end circuitry is required. Since neural signals such as action potential (AP) have wid...

Convolutional auto-encoders have shown their remarkable performance in stacking to deep convolutional neural networks for classifying image data during past several years. However, they are unable to construct the state-of-the-art convolutional neural networks due to their intrinsic architectures. In this regard, we propose a flexible convolutional auto-encoder by eliminating the constraints on...

Rate-Distortion-Complexity Optimization of Video Encoders with Applications to Sign Language Video Compression Rahul Vanam Co-Chairs of the Supervisory Committee: Professor Eve A. Riskin Electrical Engineering Professor Richard E. Ladner Computer Science and Engineering Applications for video compression have been growing over the years due to the availability of higher network bandwidth, lower...

Sibley, Kello, Plaut, and Elman (2008) proposed the sequence encoder as a model that learns fixed-width distributed representations of variable-length sequences. In doing so, the sequence encoder overcomes problems that have restricted models of word reading and recognition to processing only monosyllabic words. Bowers and Davis (in press) recently claimed that the sequence encoder does not act...