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The Bit-Flipping (BF) algorithm is considered as a hard decoding method for LDPC codes. It is much simpler than the probabilistic methods like Sum Product Algorithm (SPA), and can be efficiently implemented by electronic circuits. In this paper, we propose a new Bit Flipping algorithm for Low-Density Parity-Check codes (LDPC) called Single Bit-Flipping (SBF). Compared to the Gallager Bit-Flipping...
Digital representation of biomedical images and videos has grown enormously in scope and gained importance in recent years. Preserving security and integrity in wireless transmission of biomedical images and videos is an utmost challenge. Manipulation of sensitive biomedical data in the path of transmission can mislead critical diagnosis and treatment. To overcome this, multi-level security is provided...
This paper presents an energy-efficient symmetric block-wise concatenated-BCH (SBC-BCH) decoder architecture for energy-starving mobile storages. The proposed 4KB SBC-BCH code remarkably enhances the hard-decision-based error-correcting performance to defer the energy-consuming memorysensing operations for generating the soft-decision values, which are necessary to prolong the lifetime of flash memories...
The present paper has considered multithreshold decoders for self-orthogonal codes providing a near-optimal efficiency of the error correction under linear computational complexity. New divergence principle used within construction and decoding convolutional codes has been discussed. The paper has shown that usage of such principle allows significantly approximating an area of the decoder effective...
In a MIMO wireless communications system, a space-time block code specifies how the data symbols are transmitted over different antennas at different time instants. A hybrid space-time code attempts to obtain some of the available diversity and multiplexing gains, achieving low error probability and high data rate. The LD StBc-VBLAST hybrid code layers one spatial-multiplexing antenna (to increase...
This paper describes an energy-efficient PAM-4 digital receiver based on sequence detection. This scheme takes advantage of the ISI in the channel to reconstruct the time domain 5-bit sequence including MSB and LSB. The architecture also enables built-in error correction with very low latency. This concept is demonstrated with prototype implemented in a 28nm FDSOI CMOS using only 18-data comparators...
This paper presents a low-power adaptive edge decision feedback equalizer (DFE) for 10 giga-bits-per-second (Gbps) serial links with 4 PAM (pulse-amplitude-modulation) signaling. Optimal tap coefficients are obtained adaptively using a sign-sign least-mean-square (SS-LMS) algorithm that minimizes the jitter of equalized data. Low-voltage-differential-signaling (LVDS) tap generators that double DFE...
In this paper we are interested to the decoding of blocks turbo codes constructed from Reed Solomon (RS) codes. We have modified the iterative algorithm proposed by Chase in order to exploit the a priori information provided by a correlated source. Indeed, some sources such as images have a strong correlation. A simple iterative decoding algorithm does not take this feature into account. The choice...
Multiple Cell Upsets (MCUs) induced by ionizing radiation in memories are becoming more likely to happen due to the continuous technology scaling down. Error Correction Codes (ECCs) are applied for recovering the stored information into its original state providing reliable computer systems. Several ECC are able to deal with MCUs, however, the higher the robustness of an ECC, more area, and energy...
This work proposes a decoder implementation for high-rate generalized concatenated (GC) codes. The proposed codes are well suited for error correction in flash memories for high reliability data storage. The GC codes are constructed from inner extended binary Bose-Chaudhuri-Hocquenghem (BCH) codes and outer Reed-Solomon (RS) codes. The extended BCH codes enable high-rate GC codes. Moreover, the decoder...
In the paper it is presented a designing algorithm for decoding the data provided by a two-channel incremental encoder in order to identify the rotation direction. Such information is useful when monitoring the operation status of various driving devices found within a vehicle. The resulting digital circuit is implemented on a FPGA (Field-Programmable Gate Array), which can be easily included as a...
Decoding motion velocity from electroencephalography (EEG) signals is important for brain-computer interface (BCI) research. However, no studies explore how to decode the velocity of complex motion. In this paper, we apply extreme learning machine (ELM) to explore how to decode the velocity of complex motion from EEG signals. We design a new experimental paradigm and analyze the effects of the number...
State-of-the-art video deblurring methods are capable of removing non-uniform blur caused by unwanted camera shake and/or object motion in dynamic scenes. However, most existing methods are based on batch processing and thus need access to all recorded frames, rendering them computationally demanding and time-consuming and thus limiting their practical use. In contrast, we propose an online (sequential)...
We present a minimalists but effective neural network that computes dense facial correspondences in highly unconstrained RGB images. Our network learns a per-pixel flow and a matchability mask between 2D input photographs of a person and the projection of a textured 3D face model. To train such a network, we generate a massive dataset of synthetic faces with dense labels using renderings of a morphable...
Current methods for video description are based on encoder-decoder sentence generation using recurrent neural networks (RNNs). Recent work has demonstrated the advantages of integrating temporal attention mechanisms into these models, in which the decoder network predicts each word in the description by selectively giving more weight to encoded features from specific time frames. Such methods typically...
We consider a visible light communication (VLC) system with light emitting diodes (LEDs), wherein LEDs are used for information transmission as well as reception while providing illumination. At the transmitter, a combination of a pulse width modulation (PWM) signal and a redundant run-length limited encoded on-off keying (OOK) signal is used for data transmission. The LED receiver uses OOK and the...
In this work we consider the problem of a PUF-based authentication model with a generated secret key. The considered scenario is that after an enrollment phase, where for several challenge-response pairs a secret key and helper data is generated, the decoder will choose one of the challenges uniform at random for authentication, this time the PUF provides a noisy version of the original response;...
This work presents images encoding and decoding using the theory of conformal mapping. The conformal mapping theory made changes in the domain of problems without modifying physical characteristics between the domains. Images were utilized and are transported between domains using transformation functions like encrypt keys. Developed method showed to be able to preserve original images characteristics...
This paper presents a method to extract rendering matrix on multi-channel audio signals as an object fed to Moving Picture Expert Group Spatial Audio Object Coding (MPEG SAOC) encoder. This technique allows MPEG SAOC to transmit multiple multi-channel audio objects, instead of only a single multi-channel background object as specified in MPEG SAOC standard. Listening tests show that the proposed method...
Different neural network models have been proposed to design efficient associative memories like Hopfield networks, Boltzmann machines or Cogent confabulation. Compared to the classical models, Encoded Neural Network (ENN) is a recently introduced formalism with a proven higher efficiency. This model has been improved through different contributions like Clone-based ENN (CbNNs) or Sparse ENNs (S-ENNs)...
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