additive white Gaussian nois
Simulation and Evaluation of Shrinkage Techniques for Image De-noising under Additive White Gaussian Noise (AWGN)
... Abstract- Image denoising is a process to restore a worth image from degraded image by choosing an appropriate filter but choosing an appropriate filter still is a challenge. Recently, wavelet transform has attracted ...
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Robust Parametric Modeling of Speech in Additive White Gaussian Noise
... of additive white Gaussian noise (AWGN), a typical parameter compensation method involves using a minimal set of Yule-Walker equation evaluations and removing a noise variance estimate from the ...
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Noise Standard Deviation Estimation for Additive White Gaussian Noise Corrupted Images using SVD Domain
... The Gaussian distribution is used mostly for noise estimation. Gaussian noise model such as noise in amplifier, finite account of particle which has a less energy causes shot noise, the photographic ...mean ...
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The Performance of Fast Frequency Hopping System in Additive White Gaussian Noise (AWGN)
... of white noise [9]. White noise has a flat power spectral density which covers all frequency components ...the white noise follows a guassian or normal guassian distribution which seems to be like a ...
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PERFORMANCE COMPARISON OF BIT ERROR RATE FOR BPSK AND DS-BPSK FOR AWGN AND RAYLEIGH CHANNELS
... In the past two decade wireless communications has gained exponential growth due to increasing number of users and decreasing coast. The high speed digital communication over a wireless media required to understand the ...
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Volume 2, Issue 7, July 2013 Page 458
... of additive white Gaussian noise (AWGN), and different interference signals such as, continuous wave interference (CWI), and matched spectrum interference ...
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Time of Arrival (TOA) Based Radiolocation Architecture in CDMA Systems and Its Performance Analysis
... So, the precision of the estimation is depended on the number samples per chip (i.e. sampling rate). To study the effect of variation of Eb/No with Additive White Gaussian Noise on th[r] ...
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Multi-way relay networks: characterization, performance analysis and transmission scheme design
... Decode and Forward: DF MWRNs have been investigated in terms of the optimal pair- ing order that maximizes the achievable sum rate [50]. It has been shown in [50] that pairing the ℓ th user with the ( L − ℓ + 1 ) th ...
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Translation and Retrieval of Image Information to and from Sound
... Keywords Steganography, Encoding, Decoding, Data Security, Information Hiding, Image to Sound Mapping, Additive White Gaussian Noise, RGB Values, Correlation, Degradation... INTRODUCTION[r] ...
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A Robust Denoising Algorithm for Sounds of Musical Instruments Using Wavelet Packet Transform
... with additive white Gaussian noise is passed through this algorithm, the obtained peak signal to noise ratio (PSNR) depends upon the level of decomposition along with shape of the ...
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Performance Evaluation of OFDM Using BPSK over Different Fading Channel
... as Additive White Gaussian Noise fading (AWGN), Rayleigh fading and Rician fading channels scenario by utilizing Binary Phase Shift Keying adjustment (BPSK) and also Correlation made for various ...
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Frame By Frame Digital Video Denoising Using Multiplicative Noise Model
... Three Additive White Gaussian Noise (AWGN) corrupted vid- eos namely, gflowersg15.avi (flower garden), gsales- mang15.avi (salesman) and gstennisg15.avi (tennis player [18] are used for extensive ...
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Adaptive Wavelet Packet Decomposition for Efficient Image Denoising By Using NeighSure Shrink Method
... The denoising of original image corrupted by additive white Gaussian noise [2] is a common problem in image processing. The important property of a good image denoising model is that it should ...
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Dual Tree Wavelet based OFDM: A Performance Calculation of Bit Error Rate
... in Additive White Gaussian Noise (AWGN) channels, flat fading channels (FFC), and multi-path selective fading channels (SFC) compared with traditional ...
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TRAINING AND DEVELOPMENT OFARTIFICIAL NEURAL NETWORK MODELS: SINGLE LAYER FEEDFORWARD AND MULTI LAYER FEEDFORWARD NEURAL NETWORK
... This paper proposed anew Space Time Block Coded Orthogonal Frequency-Division Multiplexing (STBC- OFDM) system based on Discrete Framelet transform (FT) instead of Fast Fourier Transform (FFT) under different channel ...
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ZigBee Signal Phase Tracking Using a Discrete Kalman Filter Estimator under AWGN Channel
... The objective of this research is to track the phase changes in Binary Phase Shift Keying (BPSK) modulated signal in ZigBee communication systems us- ing discrete Kalman Filter (KF). Therefore, Kalman Filtering is used ...
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Brief review of image denoising techniques
... AWGN: Additive white Gaussian noise; BM3D: Block-matching and 3D filtering; CNN: Convolutional netural network; DnCNN: Feed-forward denoising convolutional neural network; FFDNet: Fast and flexible ...
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A Block Transmission Method for Converting a Non-Gaussian Channel into Parallel Gaussian Noise Channels
... an additive noise on the propagation channel become uncorrelated Gaussian random variables with same variances for a wide range of additive noise ...of additive white Gaussian ...
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Performance of AWGN Channel Using Least Squar...
... Additive White Gaussian Noise (AWGN) is a channel model in which only impairment to communication is a linear addition of wideband or white noise with a constant spectral density and a ...
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Analysis of Image Denoising using Wavelet Threshold Method
... Images are affected by different types of noise. The work presented herein focuses on a zero mean additive white Gaussian noise (AWGN). Zero mean does not lose generality, as a non-zero mean can be ...
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