SNR

Numerical results show that this algorithm can recognize the OFDM signal in a wide SNR range with a high average classification probability.

The SNR is one of the primary parameters in optical sensor system, which can be used to reflect radiation performance of remote sensor.

Result It was found that fluctuation complexity was more effective in detecting low-SNR speech than spectral entropy.

Experiments show that this algorithm can achieve fairly good performance in different kind of noise and various SNR.

It is proved that this optimized method can effectively improve processing speed with slight Signal to Noise Ratio(SNR) decrease.

Draw the output of the demodulation performance curve and the point of the relationship between signal to noise ratio SNR.

The simulation result shows that this method is better in accuracy of endpoint detection in low SNR.

Experimental results show that this algorithm can detect small targets within the IR image sequence which SNR is bigger than 2. 0.

In addition, since the pulse lengths are shorter with higher RF bandwidths, the echo time can be reduced to 10 ms improving SNR as well.

The result of experiment shows that the arithmetic can raise the SNR and quickly segment the image and efficaciously detect the target.

Simulation result shows that the empirical mode decomposition method is at an advantage when denoising and improving SNR.

The SNR of silicon resonance microsensor output signal is low. The frequency of signal is always submerged in noise.

In a low SNR environment, the recognition efficiency can be improved by adjusting the parameter of the threshold.

Simulation results demonstrate superiority of the proposed method over cyclic diagonal codes in a wide range of SNR.

These theories provide a guide for designing and analyzing digitally synthesized signals with a specified SNR requirement.

Moreover, it is of a detection performance similar to the ML method in low SNR (Signal Noise Ratio) region.

In the system level, SNR probability distribution is obtained by considering cell topology and intra-cell and inter-cell interference.

Adaptive threshold method, by the optimal estimation of the threshold, can increase the SNR as well as denoising.

Investigates the cause of formation of aperture jitter and its effects to SNR in high speed data acquisition systems.

Junta supremo Snr-Gen Than Shwe made him a four star general in 2009, balancing rising star Shwe Mann.

It is a bit difficulty to detect endpoint accurately in low SNR, especially in silent segment and pre-and post pronunciation.

The effective detection for small targets in low SNR image is always a hot research field.

Not only the low SNR and wideband signals can be estimated accurately, but the coherent signals can also be processed by this scheme.

In terms of given manufacture process planning, signal-noise ratio (SNR) was employed to scale quality loss of each process.

The computer simulation and practical application can justify the effectiveness and reliability of this algorithm in low SNR.

Temporal focus can depress the multipath effect and improve the signal noise rate (SNR) of the system.

The results show that the SNR of the prototype under typical viewing geometry is not less than 8.

The feasible means would be put forward to get the better image by analyzing the affection of factors of SNR.

After the meeting, Min Aung Hlaing reportedly informed Snr-Gen Than Shwe about those who raised criticisms during discussions.

As an important feature, the characteristics of echo stretching affects SNR of received laser echo signal and ranging accuracy.

A closed-form expression for the SNR at the output of the equaliser that employs the results of the channel estimation is derived.

Accordingly, the method can evaluate SNR loss more accurately for the reconstruction of the parallel-collected images.

With improved phase estimation method, a carrier signal phase with phase noise can be estimated, while loop SNR also increases.

Of course, Snr-Gen. Than Shwe and his wife Kying Kying were not happy with such talk.

And at high SNR, the upper and lower bounds on the ergodic capacity are close to its true value.

Some methods to improve the system's output SNR by coherent or noncoherent operating are also discussed.

Simulation results show that the proposed estimator is insensitive to variance of SNR and robust against frequency-selectivity.

Interframe correlation resulting from filtering diminishes eye integration signal-to-noise ratio (SNR) improvement.

Experiments demonstrate that the coherent processing results of wavelet domain decrease as SNR deteriorates.

The two image parameters, SNR and noise variance, are estimated using different techniques and are compared with the AR-based estimator.

The ADC vendors enthusiastically explain the missing-bits phenomenon, because they bench-test their devices to see how good the SNR is.

MATLAB simulations indicates that the new algorithm can effectively restrain noise and increase signal-noise rate (SNR).

For the flash radiographic image with low signal-to-noise ratio (SNR), an adaptive image reconstruction algorithm was proposed.

To detect signals of metabolites at low concentrations or from small volumes, the signal-to-noise ratio (SNR) has to be optimized.

The nonlinear error of the linearity of detector can be minimized by increasing the SNR.

The impact of pulse width, number of simultaneous active users and data rate on the SNR and bit error rate (BER) is discussed.

Meanwhile, the approximate equation of pairwise probability of error was shown with SNR floor anti basic differential expression.

The experimental results show that the method greatly improves the SNR and achieves a satisfactory effect of point target detection.

It affects the SNR (signal-to-noise ratio) and the THD (total harmonic distortion) of a conversion.

The SNR of the thermal imaging system at different distance is calculated by using the means of NETD.

This technique for measuring the correlation between incident electron current and SNR is applicable to the other SE detectors.

Theoretical analysis and simulation results indicate this algorithm's validity, with low SNR and colored noise environment.

This paper aims at looking fora kind of pitch detection algorithm which can still obtain pitch period in low Signal to Noise Ration (SNR).

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One such fast breeder reactor (the SNR-300) was planned for Kalkar, a town in Germany close to the Belgian and Dutch borders.

The selection of N depends on the SNR, noise distribution in data and the number of stations.

The affection of quantization error for SNR in digital beam forming (DBF) is analyzed on the perfect and normal conditions respectively.

Frequently MRI data is characterised by a relatively low signal to noise ratio (SNR) or contrast to noise ratio (CNR).

The invention has the advantages of good uniformity, high SNR and high detection sensitivity etc.

On the contrary, when the feedback is positive, delay can improve the peak value of SNR, but the signal also may be covered by the noise.

The simulation results show that compared with EMD threshold de- noising , the proposed algorithm can achieve higher SNR and be stable.

It is an unfathomed and difficult problem that weak and small targets are detected in complicated background and low SNR.

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The reconstructions with good-quality signal-to-noise ratio (SNR) and contrast ratio are obtained in experiments using this method.

The system selects the features with the highest classification accuracy and corresponding SNR value.

It also shows that the performance of ABRS in asymmetric channels is close to OMRS in the low and median SNR range.

The proposed method may estimate Doppler rate robustly in the case of low SNR.

Some examples are given to show that the algorithm can be more effective to detect low SNR moving small targets in complex background.

On the basis of analysis on the receive SNR in the Rayleigh channel, the lower bound of the capacity is deduced.

Moreover, the SNR threshold for correctly identifying type parameter is so high so that it is infeasible in complex environment.

Experimental results indicate that the program can sharpen image quickly and accurately, the SNR of image is also improved.

Each method helps the system achieve high sensitivity and high SNR.

Model study showed that when SNR is no less than 2, the seismic data is more reliable.

The AD7760 is ideal for applications demanding high SNR without a complex front-end signal processing design.

and IR(Incremental Redundancy) based Hybrid ARQ which provides precise rate control under lower channel SNR.

Simulation results show that the cumulative scheme can raise SNR of peak-value to certain extent.

In the ultrasonic testing of coarse grain materials, signal-to-noise ratio (SNR) is very low due to the serious structure noise.

Simulation results show that it is a high power to detect the small dim target with SNR less than 2 in single frame by using the algorithm.

Dynamic channel coding has slightly lower the SNR of image than exhaustive searching when the signal-to-noise ratio in channel is low.

We have taken necessary measures of all sorts to improve SNR and measure precision of the device instrument.

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The algorithm is much efficient to restrain the strong impulsive noise for low signal-to-noise ratio (SNR) case.

According to the estimated SNR of input signals, this paper proposes a modified LMS algorithm on the basis of the NLMS algorithm.

Digital filters with a higher than analog filter SNR.

This paper proposes a new speech enhancement algorithm to improve the quality of speech in low SNR environment.

Image SNR is improved by using energy accumulation method; the background of the image is removed.

By simulation, it shows this new method can recognize the modulation type of signal exactly in certain SNR.

The effective detection for small targets in low SNR images has becoming a hot research field these years.

The signal-to-noise ratio (SNR) increases gradually in the range of the pressures that can be used in our modified SEM.

The method has high compression effiency and adjustable image snr . The bit-stream could be decoded at any bit.

The signal-to-noise ratio (SNR) increases gradually in the range of the pressures that can be used in our modified SEM.

The method has high compression effiency and adjustable image snr . The bit-stream could be decoded at any bit.

The effective tracking for dim target in low SNR image sequences has become a hot research field in recent years.

and calculating the SNR of the parallel-collected images according to the weighting coefficient and the original data.

Anti-jamming measures is taken for the low signal and SNR of long distance measurement.

The simulation results show that it is 20 times faster than traditional BSS decryption, and its average SNR improves 3dB.

The paper also validates the performance according to lots of emulation and obtains the SNR required identifying various signal types.

Simulation results show that the method is effective in low SNR condition.

Focus on the low SNR multipath Rayleigh fading channel conditions, based on cumulant OFDM signal blind identification technology.

As a result that the new approach is superior and robust. Even in the environment of low SNR and strong reverberation, the pr. . .

As a result that the new approach is superior and robust. Even in the environment of low SNR and strong reverberation, the pr. . .

In high signal noise ratio (SNR) condition, severe flooring effect will appear.

Then we reconstruct the mesh level by level in both spatial revolution and Signal to Noise (SNR).

The method based on the analysis of spectrogram gives prominence to the difference between noise and speech signal in low SNR situation.

while when SNR is low, the median algorithm outperforms the central frequency.

In colored noise environment even SNR is very low, simulations proved that the algorithm is effective.

The proportional combination algorithm fits practical application for some CPSNR with less computation.

The interpolator weights are adjusted optimally, depending on the SNR in each acquired channel tap.

A novel method that makes use of rough set theory to detect moving small target with low SNR in infrared image sequences is presented.

In order to use the data with higher SNR more efficiently, the higher powers of the local R statistics are summed up with this rule.

In order to use the data with higher SNR more efficiently, the higher powers of the local R statistics are summed up with this rule.

In this method, the fixed mean with the peak-value SNR(Signal-to-Noise) is replaced, which is tested a self-adaptive method.

Using 2-D PCPF, the instantaneous frequency rate of 2-D chirp signals under low SNR can be estimated accurately.

In probe part, a design of high SNR single-solenoid probe is described in detail.

The result shows that the proposed method is fit for PN acquisition in low SNR.

EPZS achieves good search performance, maintaining the SNR almost the same of full search and increasing search speed about 200 times.

One indicator for three-dimension geometry signal fusion based on SNR is proposed to test the reconstructed model.

Simulation results show that satisfying recognition effect is got in some condition of SNR.

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Myanmar's military ruler Snr Gen Than Shwe later commuted the sentence to 18 months of house arrest.

Infrared image has the features of high background, low contrast and low SNR.

When you derive the ideal SNR formula, you first define the rms signal.

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As a result, The SNR is improved and the feature of magnetic signals (gradient) is desirably extracted.

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Based on cyclic diagonal codes, an improved design of unitary space-time codes(USTC) at low SNR is proposed.

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Simulations show by this method we can precisely estimate time delay for narrow band and line spectrum source in low SNR.

An improved speech enhancement algorithm for low SNR was developed in order to decrease the interference of noise on pure speech.

Figure 5. 36 shows the relationship between sampling clock jitter and SNR previously presented.

Like junta head Snr-Gen Than Shwe, Wang Jairui worked in the postal department during the past.

And because the big diameter lens is used to collect scattered light, the Doppler signal of high SNR is obtained.

EEG signal always has a low signal noise ratio (SNR), because the original signal itself is faint and unstable.

The pulsar signal is a kind of typical nonstationary random signal which SNR (Signal to Noise Ratio) is very low.

This method is more accurately under the same circumstance of Signal to Noise Ratio(SNR).

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The reference noise impacts the converter's SNR and THD at higher ADCinput voltages (Figure 2).

Finally, simulation experiment is carried out and signal-to-noise ratio (SNR) is used as the evaluation standard of the de-noising results.

Thus, to limit these errors, a solution is to filter the data in order to increase the SNR.

The decision-directed method can not acquire the accurate priori SNR estimation in wiener speech enhancement method.

The broad, multi wavelength view spans about 1, 800 light-years at the estimated distance of SNR 0104.

That is the insistence of the 23-year-old Brazilian's namesake and famous father, 56-year-old triple world champion Nelson Piquet Snr.

For example, signal-to-noise (SNR) performance degrades as a result of reduced signal swing.

Following the scheme provided above, we can get the speech signal with higher SNR and intelligibility.

SNR loss less than 0.

Short-time energy and zero-crossing rate can not locate efficiently endpoint for speech in lower SNR.

use titles such as Mr or qualifiers such as Snr (Senior), Esq (Esquire).

Single Top Value Regulation between Threshold and SNR and a Trial Threshold Method in Wavelet-based Image Denoise

A Threshold for the "Early Detection" Method and an Output SNR Stop Criterion for Turbo Codes

A Real-Time Detection Algorithm for Low SNR Point Targets in a Complex Background

The Analysis and Improvement of a Low-SNR Slow-Moving Point Target Sequential Detection Algorithm

SNR estimation scheme and its application in Doppler shift estimation in mobile communication systems

This person shall be supporting the design team and Snr Interior Decorator in coordinating with suppliers and vendors;

Study of Simulation Method to Produce Noisy Signals with High SNR Accuracy

Study on SNR Estimation Using Autocorrelation Matrix Singular Value Decomposition Method

Decision directed SNR estimation algorithm combining with forward error correction

Comparison and Analysis of LFM Signal Detecting Techniques under Low SNR and Strong Narrowband Jamming Conditions

Analog frequency-variant sweep: A vibroseis sweep method for simultaneous enhancement of resolution and SNR

Wavelet Packet Transform and its Application to Low SNR Radar Signal Detection

The Seismic Data Interpretation of Low SNR Complicated Fault Block Area in Tabei Region of the Subei Basin

Detection of Point Targets and Regional Targets of Infrared Images on the Condition of Low SNR and Background Disturbing

Research of a Maximum SNR Algorithm of Fuze Antenna Beam Forming

The Effect on SNR of Received Signal by the Efficiency of the Receiving Antenna of High Frequency Surface Wave Radar

Enhancement of SNR and precision in measurement of time resolved fluorescence spectra

Arithmetic Improvement of Strong Single-Frequency-Interference Rejection Under the Circumstance of Extremely Low SNR

The research of the SNR estimation algorithm using second-order and four-order moments

Hardware implementation of low SNR image sequences energy accumulation

A low complexity blind SNR estimator in decoder of high-order modulated LDPC code in mobile communication

Estimation of Target Motion Parameters in Stepped Frequency Radar under Low SNR Condition

SNR enhancement for the second harmonics in tissue imaging by the use of the pulse inversion technique

An Effective SNR Promotion Method for Mini-Satellite Pseudo-Code Range Measurement

New SNR Estimator and Its Applications in Turbo Decoding

SNR-optimized approach for the design of RF surface coils for permanent MRI systems

Extremely Low SNR Meteor Communication Technology

Strategy of PN Sequence Capture Used in Low SNR Condition

Blind SNR estimates in wireless digital communications

Calculation of the SNR of the thermal imaging system in the background of sea and sky

Research on Infrared Image Guidance Tracking Algorithms Under Low SNR

A Spectral Domain Compounded Speech Enhancement Algorithm Based on Parameter Adaptive Spectral Method According to A Priori SNR

The detection and parameter estimation of DS signal in the lower SNR condition

And t1 he simulation results indicate that selecting an appropriate gain of APD arrays, the SNR and Pd can achieve the maximum;

The effect of the inaccuracy in line of fiber optic F-P sensing head on SNR in fabry-perot sensor

Extracting the Characteristics of In-pulse Frequency-coded Signal in Low SNR

An Applied Method for Blind SNR Estimation in Communication Signals

SNR limitation of high-speed visual image system detection distance

High accuracy centroid calculation for extended object with low SNR

A New SNR Estimator Applied to Turbo Codes in Wireless Channel

Blind SNR estimation in multipath Rayleigh fading channel

A Method for Improving the Output SNR of a Radar

Research on SNR and Image Detecting Property of Low Light Level Imaging System

Segmental Threshold De-Noising Arithmetic of SNR-Vary Signals

A High Efficiency Algorithm of SNR Estimation for PSK Signals Using Fourth Order Moments

Detection and recognition technology for signal with low SNR

A Low Complexity Blind SNR Estimator in Mobile Communication

Estimate Method of SNR in Communication System Simulation

A Research for the Effect on the SNR of IF Sampling System Due to Aperture Jitter

Detection of certain-signal in low SNR from stationary processes

A technique of source target localization for low SNR case in shallow water

Edge detection investigation of low-SNR image based on multiscale directional Hermite transform

Relation of Sampling Rate and SNR in Digital Matched Filter System

A PN Code Acquisition Method and Performance Analysis in Very Low SNR

A LTS-HD measure based robust registration approach to low SNR images

The Study of High Detecting Probability of Infrared Point Target Under Low SNR

Analysis of Radar Detectable SNR Model Under Jamming

A precise SNR estimation algorithm for QPSK signals

The fuzzy image enhancement algorithm for iow SNR image

Radon transform for line segment detection in low SNR image

Digitalized Processing of Low SNR Radar Signal

A new method of extracting in-pulse characteristics from PSK signal in low SNR

A Method to Increase the Resolution and SNR of Measurement

SNR estimation in nmr well logging by wavelet analysis

Design of Symmetric Time-domain Equalizers Based on Maximum Shortening SNR Algorithm

Analysis and study on testing method of SNR of image intensifier

Small Targets Detection in Low SNR Infrared Image

New method for improving SNR of fringes detection

Prediction of Output SNR of Analog Optic Receiver

Study on SNR of Airborne Thermal Infrared Scanner

A Method of Increasing SNR in the High Frame Rate Ultrasonic Image System

An Algorithm of Point Moving Target Detection in Low SNR

A Method for Enhancing SNR of Linear CCD in Spectroscopy

A Blind SNR Estimation Algorithm for QAM Signals

Edge detection investigation of low-SNR infrared image based on noise probability

A new blind SNR estimation algorithm for BPSK signals

An Automatic Location Algorithm for Low SNR Moving Targets Based on Adaptive Template

Blind Estimation of SNR Based on Differential Logarithmic Cross Entropy

New point target detection algorithm in low SNR

Analysis on Linearity and SNR of Si-photodiodes

Methods for Increasing the Wavefront Detection SNR Based on Extended-Beacon

Measuring and Calculating of Radar SNR

Discussing self-regression model based on time series analysis to estimate SNR;

SNR analysis of color synthesis of low light image

A SNR Estimation Method for QPSK Burst Signals

A high-resolution procedure of low SNR data for North Ordos basin

The Real-time Detection of Infrared Wobble Weak Target Based Under Low SNR

Signal to Noise Ratio for Handoff Request SNR

A Demodulation Method of BPSK Signal with Large SNR

Blind SNR estimation based on cyclostationarity

Low-SNR Radar Echoes Fast Detection Algorithm Based on Wavelet Transform

New distributed CFAR detection scheme based on SNR of local observations

Analysis and Evaluation of Turbo Coding and Decoding Algorithms Based on Low SNR

A Study on VAD Algorithm under Condition of Low SNR

Digital Image Scrambling Degree Evaluation Method Based on SNR

SAR Multiple Target Detection Under the Condition of Low SNR

Target Extraction Method of Low SNR Image Sequences Based on Morphology

A Novel Method of Extracting the In-pulse Features from NLFM Signal in Low SNR

Digital Signal Detection and Simulating of Laser Weak Echo Based on Low SNR

Two dimension watermarking algorithm based on SNR

Space-Time Multiuser Detection Based on Subspace in Low SNR Channel

Noise and Signal Noise Ratio, SNR

Channel SNR Estimation Based on Error Correcting Code for ADSL