adaptive block processing algorithm
New Approach of Performance Analysis of RLS Adaptive Filter Using a Block-wise Processing
... of adaptive filtering for echo cancelers for teleconference systems during single-talk ...of adaptive algorithms exist in the estimation ...(RLS) adaptive filter. In practice, the choice of an ...
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Robust adaptive monopulse algorithm based on main lobe constraints and subspace tracking
... data block is a monopulse processing period, and the angle measurements in each processing period are averaged to achieve a steady ...monopulse processing period is a short period, the tar- ...
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Adaptive primary user's signal detection algorithm based on matrix accumulation estimation for cognitive radio
... The block LMS adaptive filter processes data on a block-by-block basis, as opposed to a sample-by-sam- ple ...an adaptive block DFT-LMS filter to detect users’ signals in the ...
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Resident block structured adaptive mesh refinement on thousands of graphics processing units
... data-parallel algorithm is shown in Figure ...the algorithm is not immediately amenable to the data-parallel programming model of a ...an algorithm that is fully ...
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Restoration of an ancient temple mural by a local search algorithm of an adaptive sample block
... image processing and machine learning technology has allowed intelligent restoration of ancient ...the adaptive sample block and local search (ASB–LS) algorithm based on the Criminisi ...
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Block Shanno Minimum Bit Error Rate Pre FFT Beamforming for OFDM Communication Systems
... (ISI). Adaptive array antenna (AAA) can be combined with OFDM to reduce the effect of directional ...a block-data adaptive implementation of the MBER beamforming solution is based on to the Parzen ...
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Parallel block structured adaptive mesh refinement on graphics processing units
... AMR algorithm has three main components: (i) advancing the simulation using some finite difference scheme, (ii) error estimation and hierarchy generation, and (iii) inter-level operations such as solution ...
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Adaptive Edge-guided Block-matching and 3D filtering (BM3D) Image Denoising Algorithm
... (NL-means) algorithm, has attained great deal of attention within the image processing community [57] ...the block-based (or patch-based) similarity ...NL-means algorithm tries to exploit the ...
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The generalized frequency domain adaptive filtering algorithm as an approximation of the block recursive least squares algorithm
... shorter adaptive filters or individual DFT bins, respectively, are adapted independently and lead to faster convergence and increased computational ...the block processing of computationally ...
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JPEG Image Information Hiding Algorithm Based on Intelligent Agent Adaptive Block
... image processing and other attacks, its robustness is poor, but allows higher watermark ...an adaptive multilevel texture block classification method based on MAS is ...texture block sets, ...
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An Adaptive Cauchy Differential Evolution Algorithm with Bias Strategy Adaptation Mechanism for Global Numerical Optimization
... Abstract—Appropriately adapting mutation strategies is a challengeable problem of the literature of the Differential Evolution (DE). The Strategy adaptation Mechanism (SaM) can convert a control parameter adaptation ...
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An adaptive combination constrained proportionate normalized maximum correntropy criterion algorithm for sparse channel estimations
... 8]. Adaptive filters (AF) have been widely applied to the estimation of sparse channels to improve the quality of wireless communica- tions ...AF algorithm is the least mean square (LMS), which has been ...
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An Adaptive Reduced Rank STAP Selection with Staggered Prf, Effect of Array Dimensionality
... Abstract—Space-Time Adaptive Processing (STAP) is a well known technique in the area of airborne radars, which is used to detect weak target returns embedded in strong ground Clutter, Jammers, and receiver ...
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Adaptive Block And Batch Sizing Forbatched Stream Processing System
... data processing for batch and interactive applications, there is still an argument about the Spark Streaming, which has higher throughput than other streaming systems but also suf- fers longer ...stream ...
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Kernelized Fuzzy C-means Clustering with Adaptive Thresholding for Segmenting Liver Tumors
... In this paper, we proposed a segmentation method based on KFCM with adaptive thresholding to detect tumor lesion of a liver cancer. The CT images were collected from the database of cancer imaging .net. and the ...
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Parallelization of the AAE algorithm
... parallel algorithm requires a single row to pre- compute input values for the subsequent blocks in stripe 0; this results in only a single stripe being generated (if we assume a 20 20 block size as was used ...
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Evolving Image Classification Architectures with Enhanced Particle Swarm Optimisation
... Evidenced by recent research [7], [6], [8], [9], CNNs have become exceedingly popular for solving computer vision problems owing to their ability to learn task-specific filters to extract the key information in an image. ...
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Proposed Image Security Using Combination of Steganography and Hashing Algorithm
... hashing Algorithm for high resolution ...hash algorithm-256 is applied after the bit swapping algorithm to secure the image and result shows a mass improvement the only staggered ...
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A Smart Algorithm That Enables an Artificial Eye into an Intelligent Artificial Eye
... It is a technique from category of topic models. Main goal of this model is to co-occurrence of information under the probabilistic framework for discovering underlying structure of data. This pLSA technique was ...
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A Brief Review of Image Segmentation Based on Thresholding Technique
... Abstract:Image processing plays an important role in computer vision. The process of image segmentation provides the partition of image into different segments per their feature attribute. Image segmentation ...
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