Parallel Associative Search by Use of a Volume Holographic Memory p. 78 Optically Reconfigurable Gate Array p. 84 Image Retrieval with Relevance Feedback p. 85 Image Compression and Coding Moving Object Tracking in Video p. 95 Assessing the Performance Effects of Data Compression for SAR Imagery p. 102 Adaptive Image Coding with Robust Channel-Optimized Trellis-Coded Quantization p. 109 A Const...

In this paper, we applied Continuous Phase Frequency Shift Keying (CPFSK) to Trellis Coded Quantization/Modulation (TCQ/TCM) and thus we called Trellis Coded Quantization/ Continuous Phase Modulation (TCQ/TCCPM) for this new system. In this new scheme we use continuous phase frequency shift keying signal set instead of phase shift keying signal set. As an example, an eight state TCQ/TCCPM syste...

In this paper, Segmented Cellular Neural Network-Cellular Neural Network Combined Trellis Coded Quantization/Modulation (SCNN-CNN CTCQ/TCM) scheme is introduced. Here, a gray scaled image is lowered to 3 bit using our proposed Segmented Cellular Neural Network approach (SCNN) and then passed through a new CNN based structure which models combined trellis coded quantization / modulation. The per...

The performance of distributed source coding methods based on scalar quantization followed by scalar entropy coding is investigated. For a fixed quantizer, the problem is converted to that of zero-error entropy coding for bipartite graphs with a special structure. It is then experimentally shown that for bipartite graphs corresponding to jointly Gaussian sources and high-resolution uniform quan...

II Nine possible options for (y 1 ; y 2) together with coded bits and their lengths. : 8 III The Huuman table for Example 4 abstract In this paper, we develop a fast and eecient quantization technique which is xed-length, robust to bit errors, and compatible with most current compression standards. It is based on entropy-constrained quantization and uses an eecient delayed decision algorithm to...

This thesis is an investigation of Vector Quantization, Scalar Linear Prediction and other related signal processing techniques, with the purpose of providing high quality, low delay speech waveform coding at medium data rates (16 kbls). Speech waveform coding systems based on adaptive scalar prediction and adaptive scalar quantization have been used to provide toll quality coded speech at high...

This paper presents new techniques to improve the performance of a Fixed-rate Entropy-coded Trellis Coded Quantizer (FE-TCQ) in transmission over a noisy channel. In this respect, we first present the optimal decoder for a Fixed-rate Entropy-coded Vector Quantizer (FEVQ). We show that the optimal decoder of the FEVQ can be a maximum likelihood decoder while a trellis structure is used to model ...

The forthcoming Versatile Video Coding (VVC) standard adopts the trellis-coded quantization, which leverages delicate trellis graph to map quantization candidates within one block into optimal path. Despite high compression efficiency, complex search with soft-decision may hinder applications due complexity and low throughput capacity. To reduce complexity, in this paper, we propose a scheme sc...

In this paper we propose a new transform domain coding technique called transform trellis coded quantization (TTCQ) that is based on the trellis coded quantization technique recently proposed where Ungerboeck’s amplitude modulation trellises and set partitioning ideas are used for source coding. We combine the proposed technique with a transform domain formulation for small frame sizes obtainin...

We study the average distortion introduced by scalar, vector, and entropy coded quantization of compressive sensing (CS) measurements. The asymptotic behavior of the underlying quantization schemes is either quantified exactly or characterized via bounds. We adapt two benchmark CS reconstruction algorithms to accommodate quantization errors, and empirically demonstrate that these methods signif...