# Gaussian Noise In A Sentence

We found 17 sentences of 'Gaussian Noise' to help you understand how to use Gaussian Noise in a sentence.

- This paper compares the BER performances of them for white
**Gaussian****noise**channel theoretically. - The paper discusses image denoising in both cases of
**Gaussian****noise**and Impulse noise. - The surfaces ' points have been corrupted with a
**Gaussian****noise**of 2 mm variance. - With the same probability,
**Gaussian****noise**is added to the tolerance value (mean 0, standard deviation 0.01 ). - The output signal - to - noise ratio ( SNR ) in an additive white
**Gaussian****noise**( AWGN ) channel is calculated. - The denoising of a natural image corrupted by
**Gaussian****noise**is a classical problem in image processing. - It theoretically ensures that denoising method for
**Gaussian****noise**can also be used for Pulse noise and Possion noise. - The fading statistics is achieved by in-phase and quadrature modulation at the radio signal by two independent
**Gaussian****noise**signals. - Traditional short-term autocorrelation-based adaptive line spectrum enhancer (SABALSE) becomes low in suppressing
**Gaussian****noise**when input signal-to-noise ratio becomes low. - The paper analyzes the interference rejection of Quadrature amplitude modulation signals in the presence of carrier phase jitter, sinusoidal interference and white
**Gaussian****noise**. - This method is robust to
**Gaussian****noise**and constellation rotation due to initial phase of signal and avoids overfitting and local minimum in neural networks. - The performance of time hopping pulse position modulation (TH-PPM) UWB system using this wavelet monocycle was studied under additive white
**Gaussian****noise**(AWGN) channel. - Examples of such error correction coding types include turbo codes and LDPC codes, which perform close to the Shannon limit for the Additive White
**Gaussian****Noise**( AWGN ) channel. - Thus, on an additive white
**Gaussian****noise**( AWGN ) channel without interference, a spread system requires the same transmitter power as an unspread system, all other things being equal. - Traditional extend Kalman filtering (EKF) method has some disadvantages in
**Gaussian****noise**hypothesis and to linearize nonlinear system, but the PF method can conquer such disadvantages of EKF method. - The simulation results show that the improved algorithm has much better performance than the traditional algorithm under the additive color
**Gaussian****noise**, short data records and low SNR conditions. - The correlation methods exploit certain properties of these systems, which means that if specific inputs are used, often white
**Gaussian****noise**, the individual elements can be identified one at a time.

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