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[PDF] Top 20 FPGA implementation for the hardware architecture used in cyclostationary detector

Has 10000 "FPGA implementation for the hardware architecture used in cyclostationary detector" found on our website. Below are the top 20 most common "FPGA implementation for the hardware architecture used in cyclostationary detector".

FPGA implementation for the hardware architecture used in 
				cyclostationary detector

FPGA implementation for the hardware architecture used in cyclostationary detector

... proposed hardware architecture will improve the performance of the ...proposed architecture is simulated using CAD simulation tool and the code is synthesized using Xilinx CAD ...proposed ... See full document

9

FPGA implementation of a cyclostationary detector for OFDM signals

FPGA implementation of a cyclostationary detector for OFDM signals

... It can be seen that when the input contains the SOI, the test statistic exceeds the threshold and is held for a duration of 1024 samples, i.e. the length of the FFT. It then drops below the threshold when the SOI is ... See full document

5

Hardware/Software Co-Design Architecture and Implementations of MIMO Decoders on FPGA

Hardware/Software Co-Design Architecture and Implementations of MIMO Decoders on FPGA

... the FPGA logics ...customized hardware modules can be attached to the MB for hardware functions through interfaces such as on-chip peripheral bus (OPB), fast simplex link (FSL) or processor local bus ... See full document

67

IMPLEMENTATION OF DISTRIBUTED CANNY EDGE DETECTOR ON FPGA

IMPLEMENTATION OF DISTRIBUTED CANNY EDGE DETECTOR ON FPGA

... are used by the Canny edge detector. Furthermore, an FPGA-based hardware architecture of our proposed algorithm is presented in this paper and the architecture is synthesized on ... See full document

7

FPGA Implementation of 3D DCT Requiring Only 14 Additions

FPGA Implementation of 3D DCT Requiring Only 14 Additions

... digital hardware architectures are intended to implement fast algorithms that reduce computational complexity, area and power consumption and also to improve the speeds of ...VLSI hardware using additions ... See full document

6

FPGA-Based Arduino Architecture Implementation

FPGA-Based Arduino Architecture Implementation

... easy-to-use hardware and ...a hardware programmer to burn the ...usually used is Arduino programming language (based on Wiring), and the Arduino Software (IDE), based on ... See full document

24

Implementation Of Risc Architecture In Simulink And FPGA

Implementation Of Risc Architecture In Simulink And FPGA

... The design has been implemented in FPGA. FPGA is a device used for the verification purpose. Working as a raw IC, where user can implement its design and verify the correctness of design. By using ... See full document

24

Implementation of Face Detection System using Adaptive Boosting Algorithm

Implementation of Face Detection System using Adaptive Boosting Algorithm

... their fpga implementations are presented in ...unified architecture for face detection applications. In their implementation they have used large pixel offset and apply to image size of ... See full document

7

Design and Implementation of Logic Gates and Adder Circuits on FPGA Using ANN

Design and Implementation of Logic Gates and Adder Circuits on FPGA Using ANN

... the hardware implementation of Artificial Neural Networks using Activation functions as application on Logic Gates ,Half Adder and Full ...are used in different fields such as Medical applications, ... See full document

9

Wake Up Word Feature Extraction on FPGA

Wake Up Word Feature Extraction on FPGA

... and implementation on FPGA of a novel architecture of a real-time feature extraction processor that generates three different features ...III FPGA as a portable system performing as a ... See full document

12

Recurrent Neural Networks Hardware Implementation on FPGA

Recurrent Neural Networks Hardware Implementation on FPGA

... A Neural Network, or NN, is a generic architecture used in machine learning that can map different types of information. Given an input, a trained NN can give the desired output. However, NNs cannot learn ... See full document

9

Algorithm and implementation of distributed canny edge detector on FPGA 

Algorithm and implementation of distributed canny edge detector on FPGA 

... edge detector to be pipelined very easily with existing block-based codecs, thereby improving the timing performance of image/video processing ...an FPGA-based hardware architecture. The ... See full document

9

VLSI Architecture for Cyclostationary Feature Detection Based Spectrum Sensing for Cognitive Radio Wireless Networks and its ASIC Implementation

VLSI Architecture for Cyclostationary Feature Detection Based Spectrum Sensing for Cognitive Radio Wireless Networks and its ASIC Implementation

... suggested detector in additive-white Gaussian-noise (AWGN) envi-ronment has been carried out where it could deliver ...simulated detector showed that there is a absolute error of only ...level ... See full document

7

A Distributed Canny Edge Detector: Algorithm & FPGA Implementation

A Distributed Canny Edge Detector: Algorithm & FPGA Implementation

... edge detector is one of the most widely used edge detection algorithms due to its superior ...engine architecture and is synthesized on the Xilinx Virtex-5 ...synthesized architecture takes ... See full document

5

VLSI Implementation of Image Denoising Algorithm using Dual Tree Complex Wavelet Transform

VLSI Implementation of Image Denoising Algorithm using Dual Tree Complex Wavelet Transform

... the hardware implementation of a two stage DTCWT implementation using 10-tap filter bank and shrinkage of noisy DTCWT coefficients where soft thresholding approach is used to denoise the ... See full document

5

Hardware Implementation of Bit-Parallel Finite Field Multipliers Based on Overlap-free Algorithm on FPGA

Hardware Implementation of Bit-Parallel Finite Field Multipliers Based on Overlap-free Algorithm on FPGA

... often used to construct mul- tiplication architectures with significantly improved in these ...optimized architecture called Overlap-free Karatsuba algorithm has been mention by fewer people and even its ... See full document

68

Neural Networks for Location Prediction in Mobile Networks in AES Techniques

Neural Networks for Location Prediction in Mobile Networks in AES Techniques

... The hardware component of Self Reconfiguring Platform (SRP) is composed of the internal configuration access port (ICAP), control logic, a small configuration cache, and an embedded ...be used as the ... See full document

9

FPGA Implementation of New Architecture

FPGA Implementation of New Architecture

... For an easy conversion between machine and user representations [21], [25], hardware iplementations normally used a BCD rather than binary to manipulate decimal fixed-point operands and integer significands ... See full document

8

Hardware Efficient Mean Shift Clustering
Algorithm Implementation on FPGA

Hardware Efficient Mean Shift Clustering Algorithm Implementation on FPGA

... , in an effort to accelerate the convergence speed. Recently, efforts to accelerate the mean-shift algorithmic program have targeted on FPGA technology and have achieved the foremost promising results so far. ... See full document

5

Modular Hardware Implementation of SOM Neural Network Based on FPGA

Modular Hardware Implementation of SOM Neural Network Based on FPGA

... the hardware implementation of artificial neural networks has gradually become a research ...many hardware implementations, the VLSI implementation method is considered to be the best way to ... See full document

7

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