We proposed a hardware-oriented framework for infrared images compression and enhancement. The aim is to achieve high-quality imaging with minimal delay. Specifically, we introduce several key improvements: Firstly, w...
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We proposed a hardware-oriented framework for infrared images compression and enhancement. The aim is to achieve high-quality imaging with minimal delay. Specifically, we introduce several key improvements: Firstly, we adopt the anisotropic guided filtering for layering, which effectively addresses the issue of detail halo. Secondly, we proposed a dynamic range compression algorithm (LIHS&HRC), which is based on local information histogram statistics and thus highlights the gray scales with abundant details. Thirdly, we propose a low-complexity adaptive two-dimensional non-local mean algorithm, which preserves important details while reducing noise. Through extensive experimentation, it is demonstrated the proposed algorithm framework significantly reduces latency and field programmable gate array (FPGA) resource requirements. It generates high-quality infrared image sequences in a minimal delay of only 0.31 ms at a frame rate of 50fps, with consuming a mere 0.0362 MB of shift register and 0.0312 MB of BRAM.
Nanosatellites are persistently progressing and creating global communication and data transmission. It builds up a colossal request for more progressed and dependable frameworks to transmit faster and more reliable i...
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Nanosatellites are persistently progressing and creating global communication and data transmission. It builds up a colossal request for more progressed and dependable frameworks to transmit faster and more reliable information. A syntactic machine learning approach has been distinguished as a good plot for anticipating single-bit and multiple-bit errors that influence onboard nanosatellites. In this paper, we have proposed an analytical approach to error detection and correction for onboard nanosatellites. We have planned the framework separately with three distinct parts: encoding, error checking, and decoding. It has created an amid information exchange from satellite to the ground station. It has analyzed six camera pictures simultaneously with the assistance of field programmable gate array and EDAC strategies. We have presented the progressed turbo mechanics EDAC for unprecedented transfer speeds of satellite communication and execution & examination with the AWGN and Rayleigh channels to extend the proficiency. EDAC strategies codes have been implemented in MATLAB. This method is straightforward and accomplishes unwavering quality and exactness compared to comparable strategies.
In this paper, a simplified Gram-Schmidt orthogonalization procedure (SG) method was proposed for in-phase/quadrature (IQ) imbalance compensation based on the Gram-Schmidt orthogonalization procedure (GSOP) algorithm....
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In this paper, a simplified Gram-Schmidt orthogonalization procedure (SG) method was proposed for in-phase/quadrature (IQ) imbalance compensation based on the Gram-Schmidt orthogonalization procedure (GSOP) algorithm. The proposed method can compensate IQ imbalance in the optical coherent system by two steps of phase orthogonalization and amplitude balance. In addition, this method avoids square root operation compared to the GSOP in the field programmable gate array (FPGA) hardware implementation, therefore it is easier to implement in terms of resources and complexity. Two steady states are achieved by accumulating scale factor to reduce resource consumption in FPGA hardware implementation of the proposed scheme. Finally, a FPGA design with 32 parallel units is performed to demonstrate the proposed method in a polarization multiplexed quadrature phase shift keying (PM-QPSK) system, the results show the proposed algorithm simplifies FPGA implementation complexity and maintains compensation performance comparable to GSOP algorithms.
The advent of high-speed atomic force microscopy has revolutionized the field of biological science. However, there remains a myriad of phenomena that cannot be observed due to their near-instantaneous dynamics. Impro...
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The advent of high-speed atomic force microscopy has revolutionized the field of biological science. However, there remains a myriad of phenomena that cannot be observed due to their near-instantaneous dynamics. Improving the temporal resolution is the first step toward observing these biofunctional dynamics. So far, the narrow bandwidth of the amplitude detector circuit has been a major obstacle to this objective. Here, we invent a differential-based ultrafast amplitude detection method with zero intrinsic latency based on the basic trigonometric theorem. We demonstrate that our method manifests superior performance over the conventional methods in respect of the bandwidth and noninvasiveness. This will be a breakthrough in the development of faster high-speed atomic force microscopy. (c) 2021 Author(s).
In this work, doctors can find useful tips to discover semantic similarities to diagnostic tasks, natural biomedical language, and writing to obtain effective simulations. It proposes a concrete analytical framework f...
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In this work, doctors can find useful tips to discover semantic similarities to diagnostic tasks, natural biomedical language, and writing to obtain effective simulations. It proposes a concrete analytical framework for a considerable collection. It does some preliminary analysis using datasets extracted from the entire graduate entrance exam library. It has developed a web front end to demonstrate this method's practicality in the real-world context. The quickly extending field of enormous information examination is starting to assume a basic function in creating clinical practice and exploration. It gives a device to amass and retain a lot of organized and unstructured information created by the board, investigation, and current medical services frameworks. As of late, big data information examination has been applied to measures that help clinical administrations and illness investigation. The appropriation and R and D in this space are hampered by some key issues intrinsic in the huge information worldview. Basic Analysis of Images, Signals, and Genomics: In this article focus on these key challenges and discusses some of the three promising medical research areas. It targets large amounts of medical data, and the use of multimodal data from different sources has also been discussed in recent studies. Research Areas with the potential and significant impact in providing medical services are also being considered.
An onboard telemetry system has access to a limited wireless bandwidth due to a high-speed airborne vehicle and large channel changing characteristics. The inefficiency of data placement happens at the transmission en...
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An onboard telemetry system has access to a limited wireless bandwidth due to a high-speed airborne vehicle and large channel changing characteristics. The inefficiency of data placement happens at the transmission end if there is a large deviation between the packet rate and the frame rate for serial channels. For one of the current examples, the data rate of the transmitted signal can be decreased from 22 Mbps by straightforward placement in the major frame and to 3 Mbps using the novel algorithm introduced in this paper. The mathematical model in the subject is termed the bandwidth-efficient frame structure algorithm. A Xilinx Spartan 3E series has been used to frame the acquired data at the transmitting end and to deframe at the receiving end. The Inter-Range Instrumentation Group 106 standard has been used for the frame structure.
Unlike the conventional field programmable gate array (FPGA) based time-to-digital converter (TDC) with clock sampling architecture, the TDC with event sampling architecture implemented in this paper propagates the sy...
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Unlike the conventional field programmable gate array (FPGA) based time-to-digital converter (TDC) with clock sampling architecture, the TDC with event sampling architecture implemented in this paper propagates the system clock signal along the tapped-delay line (TDL) and the TDL status is sampled by a hit signal for time interpolation. Since there are several "1-0" and "0-1" transitions in the sampled TDL status, the TDC naturally realizes multiple measurements in parallel without increasing the resource consumption and the measurement dead time. Using a Xilinx Kintex-7 FPGA, we increase the number of equivalent TDC bins approximately to twice the number of physical delay cells in the TDL, which means the TDC resolution is about twice as good as the original. The average RMS precision is measured as 5.3 ps with two identical TDC channels measuring the time intervals in the range 0 to 20 ns. The proposed encoding scheme is so efficient that the TDC measurement throughput can reach 350 M samples per second. The test results show that the event sampling architecture is effective in FPGA as well. The performance that can be achieved is comparable with the performance of their counterparts that use the clock sampling architecture.
The only efficient optical spectrum measurement in infra-red range for low light regime is based on time multiplexing. Typically low timing jitter of the single photon detector combined with fast and high precision el...
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The only efficient optical spectrum measurement in infra-red range for low light regime is based on time multiplexing. Typically low timing jitter of the single photon detector combined with fast and high precision electronics is used for photon arrival time measurement. The timing histogram can be used to determine the spectrum of the photons. The better time detection accuracy allows to obtain the more precise spectrum information. This paper proposed an optical method for the sub-picosecond time-to-digital converters characterization prefer to optimize the multi-tapped delay lines implementation process, thus yielding the converters with much improved parameters.
Minimum Partial Euclidean Distance (MPED) based K-best algorithm is proposed to detect the best signal for MIMO (Multiple Input Multiple Output) detector. It is based on Breadth-first search method. The proposed algor...
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Minimum Partial Euclidean Distance (MPED) based K-best algorithm is proposed to detect the best signal for MIMO (Multiple Input Multiple Output) detector. It is based on Breadth-first search method. The proposed algorithm is independent of the number of transmitting/receiving antennas and constellation size. It provides a high throughput and reduced Bit Error Rate (BER) with the performance close to Maximum Likelihood Detection (MLD) method. The main innovations are the nodes that are expanded and visited based on MPED algorithm and it keeps track of finally selecting the best candidates at each cycle. It allows its complexity to scale linearly with the modulation order. Using Quadrature Amplitude Modulation (QAM) the complex domain input signals are modulated and are converted into wavelet packets and these packets are transmitted using Additive White Gaussian Noise (AWGN) channel. Then from the number of received signals the best signal is detected using MPED based K-best algorithm. It provides the exact best node solution with reduced complexity. The pipelined VLSI architecture is the best suited for implementation because the expansion and sorting cores are data driven. The proposed method is implemented targeting Xilinx Virtex 5 device for a 4 × 4, 64-QAM system and it achieves throughput of 1.1 Gbps. The results of resource utilization are tabulated and compared with the existing algorithms.
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