quantization technique
A REVIEW OF LOW POWER FLASH ADC USING THRESHOLD INVERTER QUANTIZATION TECHNIQUE
... Inverter Quantization technique” Kalpana Chaudhary, ...TIQ technique that uses two cascaded CMOS inverters as a ...TIQ technique proposed here for better implementation in SOC applications ...
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Design of a low power flash ADC using threshold inverter quantization technique in 90nm technology
... bit flash ADC architecture has been implemented with new comparator style that uses two cascaded inverters i.e. known as Threshold Inverter Quantization (TIQ) and 2*1 multiplexer logic based encoder. Flash ADC ...
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Color Texture Segmentation using Binary Tree Cluster Quantization Technique
... thresholding technique and level set functions are used for the reduction of color space ...thresholding technique considers the spectral bands collectively ...thresholding technique which is a two ...
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Image Compression using Side Match Vector Quantization Technique
... algorithm is the combination of Haar wavelet technique and Vector transform technique. The proposed system of compression and decompression is also compared with the existing algorithms such as Integer to ...
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Compression and Analysis of Image using High Resolution Grid and Rice Encoding
... Image compression is the process of identifying and removing redundant data from images and then encodes it with a lossless or lossy encoder in such a way that the information is represented with less number of bits than ...
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Codebook Generation for Vector Quantization using Interpolations to Compress Gray Scale Images
... Vector Quantization (VQ) is a classical quantization technique from signal processing and image compression [5] which allows the modeling of probability density functions by the distribution of ...
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Adaptive quantization by soft thresholding in HEVC
... HEVC quantization methods have been previously proposed to improve upon ...adaptive quantization technique is ...Spatial Quantization (IDSQ) technique, which is designed to perceptually ...
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DESIGN OF QUANTIZED FIR FILTER USING COMPENSATING ZEROS
... because quantization of one coefficient of FIR filter affects all of the zeros of filters in direct form ...the quantization of coefficients effects only in one cascaded section leaving the zeros in other ...
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Image Compression using Fusion Technique and Quantization
... of technique that is used to store in multimedia data is an important although storage is bigger than ever, however it is not ...role. Quantization is the mapping of a large set of possible inputs to a ...
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An Analysis of Vector Quantization Based Image Compression Approaches
... vector quantization technique with some other compression algorithm such as SPIHT, Fuzzy VQ, FF-VQ, HBA, CVQ etc used for increasing the storage and transmission in terms of peak signal noise ratio, mean ...
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MulCode: A Multiplicative Multi way Model for Compressing Neural Language Model
... It is challenging to deploy deep neural nets on memory-constrained devices due to the explo- sion of numbers of parameters. Especially, the input embedding layer and Softmax layer usu- ally dominate the memory usage in ...
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Novel Keyframe Extraction for Video Content Summarization using LBG Codebook Generation Technique of Vector Quantization
... Vector Quantization Technique KFCG with LBG, Existing Transforms and PCA for Face Recognition‟‟, International Journal of Information Retrieval (IJIR), ...
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Comparative evaluation of different HFCC filter bank using Vector Quantization (VQ) approach based text dependent speaker identification system
... coefficients (HFCCs) dimension were fixed to 12 and the magnitude spectrum is filtered with a bank of 10, 20 then 40 triangular filters respectively. To evaluate the performance of the presented HFCC feature using 10, 20 ...
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Block Truncation Coding for Gray Scale Image using Different Coding
... ABSTRACT: In the present era of multimedia, the requirement of image/video storage and transmission for video conferencing, image and video retrieval, video playback, etc. are increasing exponentially. As a result, the ...
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Learning Vector Quantization (LVQ) Neural Network Approach for Multilingual Speech Recognition
... in this paper by using LVQ neural network and PSO technique. Particle Swarm Optimization (PSO) technique is very useful technique for optimizes the data and selects the better value. In car system ...
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Realization of Ternary Sigma-Delta Modulated Arithmetic Processing Modules
... where [ − λ/2, +λ/2] is the allowable range of the input. x(k) is defined similarly. Assume that the desired output of the proposed ternary adder is s(k) = x(k) + y(k), such that all x(k), y(k), and s(k) ∈ { 1, 0, − 1 } ...
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A Color Image Quantization Algorithm Based on Particle Swarm Optimization
... the global optimal solution because this will require a prohibitive amount of time. To address this problem, several approximation techniques have been used. One popular approximation method is the use of a standard ...
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Comparison of Spatial and Temporal Averaging on Ultrafast Imaging in Presence of Quantization Errors
... of quantization errors efficiently, the first maximum quantization error to appear is ignored since the steering angles is too small and near to the ...maximum quantization errors has been ...
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Efficient Image Compression Technique Based On Vector Quantization Using Social Spider Optimization Algorithm
... Image compression is a hot research topic because of the global increase in multimedia applications [1]. At the present moment, the development of efficient image compression method with superior compression performance ...
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Quantization of Planck's Constant
... This does not necessarily mean that there does not exist a strict deformation quantization. For instance, if some nonzero real multiple of Ω is integral, then there is really no problem. We can still quantize H ...
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