Symbol Rate Estimation Method for Digital Signal Based on Square Timing

2014 ◽  
Vol 536-537 ◽  
pp. 43-48
Author(s):  
Wei Wang ◽  
Xiao Yi Zhang ◽  
Xiao Yun Teng ◽  
Yun Peng Hu
Keyword(s):  
Estimation Method ◽  
Poor Performance ◽  
Digital Signal ◽  
Original Method ◽  
Estimation Methods ◽  
Characteristic Line ◽  
Transform Method ◽  
Rate Estimation ◽  
Symbol Rate ◽  
The Impact

In this paper, aiming at the poor performance of the existing symbol rate estimation methods when SNR is low, we proposed a method based on the timing square which can be simply calculated and applied to MASK/MPSK/MQAM modulated signal, improved the performance of signal symbol rate estimation compared with the existing method. Based on the principle of the timing square, the signal modules were squared to calculate the fourier coefficient modulus corresponding to different sampling ratios. Then the characteristic line was searched in the transform spectrum which contains symbol rate information and obtained an estimation of the symbol rate. The impact of the roll-off factor and the carrier wave was analyzed and solution was proposed in this paper. Simulation results show that the performance of symbol rate estimation of the improved method is better than the original method, the wavelet transform method and the cyclostationary method in low SNR and low roll-off factor environment.

scholarly journals Experimental Verification of Real-Time Flow-Rate Estimations in a Tilting-Ladle-Type Automatic Pouring Machine

2021 ◽  
Vol 11 (15) ◽  
pp. 6701
Author(s):  
Yuta Sueki ◽  
Yoshiyuki Noda
Keyword(s):  
Real Time ◽  
Molten Metal ◽  
Flow Rate ◽  
Kalman Filters ◽  
Estimation Method ◽  
Estimation Methods ◽  
Liquid Volume ◽  
Model Parameters ◽  
Rate Estimation ◽  
Time Flow

This paper discusses a real-time flow-rate estimation method for a tilting-ladle-type automatic pouring machine used in the casting industry. In most pouring machines, molten metal is poured into a mold by tilting the ladle. Precise pouring is required to improve productivity and ensure a safe pouring process. To achieve precise pouring, it is important to control the flow rate of the liquid outflow from the ladle. However, due to the high temperature of molten metal, directly measuring the flow rate to devise flow-rate feedback control is difficult. To solve this problem, specific flow-rate estimation methods have been developed. In the previous study by present authors, a simplified flow-rate estimation method was proposed, in which Kalman filters were decentralized to motor systems and the pouring process for implementing into the industrial controller of an automatic pouring machine used a complicatedly shaped ladle. The effectiveness of this flow rate estimation was verified in the experiment with the ideal condition. In the present study, the appropriateness of the real-time flow-rate estimation by decentralization of Kalman filters is verified by comparing it with two other types of existing real-time flow-rate estimations, i.e., time derivatives of the weight of the outflow liquid measured by the load cell and the liquid volume in the ladle measured by a visible camera. We especially confirmed the estimation errors of the candidate real-time flow-rate estimations in the experiments with the uncertainty of the model parameters. These flow-rate estimation methods were applied to a laboratory-type automatic pouring machine to verify their performance.

scholarly journals PESL: System-Level Estimation of Power-Management Effect on Dynamic Energy Consumption

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1313 ◽  
Author(s):  
Jaroslav Erdelyi ◽  
Dominik Macko ◽  
Katarina Jelemenska
Keyword(s):  
Energy Consumption ◽  
Power Management ◽  
Hamming Distance ◽  
Management Strategies ◽  
Estimation Method ◽  
System Level ◽  
Estimation Methods ◽  
Energy Estimation ◽  
Key Aspects ◽  
The Impact

Power estimation is one of the key aspects that can help designers create digital circuits more effectively. If a designer is able to estimate circuit parameters during the early stages of development, correct decisions can be made that can significantly shorten the design time. The early design stages are represented by modeling at the system level of abstraction. However, existing system-level power/energy estimation methods are either too complicated, or they do not consider power management when estimating power consumption, meaning they are inaccurate. Therefore, in this paper we propose a method for a more accurate system-level estimation of the dynamic energy consumption by considering the impact of power management. The SystemC description of a power-managed system and the simulation results (in the form of the value change dump (VCD)) are inputs to the estimation method. The proposed method is based on an activity profile using the modified Hamming distance computation. The method is especially useful for the exploration of alternative power-management strategies, and it helps the designer to select the most efficient strategy.

scholarly journals The impact of incorrect registration on survival rate of children with very rare tumors

2019 ◽  
Author(s):  
Lukas Salasevicius ◽  
Giedre Rutkauskiene ◽  
Ieva Vincerzevskiene ◽  
Jelena Rascon
Keyword(s):  
Treatment Outcome ◽  
Survival Rate ◽  
Cancer Registry ◽  
Estimation Method ◽  
Population Based ◽  
Estimation Methods ◽  
Entire Cohort ◽  
Rare Tumors ◽  
Childhood Malignancies ◽  
The Impact

Abstract Background: Pediatric very rare tumors (VRTs) represent a heterogeneous subset of childhood malignancies, with reliable survival rate estimations depending dramatically on each (un)registered case. The current study aimed to evaluate the number of VRTs among Lithuanian children and the change in treatment outcome over the 16 year study period as well as to assess the impact of the registration status on survival estimation. Methods . We performed a population-based retrospective analysis across children below 18 years old diagnosed with VRTs in Lithuania between the years 2000 to 2015. The identified cases were then crosschecked with the Lithuanian Cancer Registry (a population-based epidemiology cancer registry) for the registration and survival status. A five year overall survival (OS 5y ) was calculated using Kaplan-Meier estimation method. Results . Forty-four children affected by VRTs were identified within the defined time frame. Nine of them (20.5%) were not reported to the Lithuanian Cancer Registry at the time of diagnosis. The OS 5y of the entire cohort was 55.8%. The cure rate did not improve over the analyzed time periods – 54.2% in 2000-2007 vs 49.4% in 2008-2015. The OS 5y differed significantly between registered (n=35) and unregistered (n=9) cohorts: 45.1% vs 100%, respectively (p=0.016). The tumor progression was responsible for treatment failure in 95% of cases. Conclusions. The OS 5y of all analyzed children affected by VRT was lower as compared to the other childhood cancers. The survival rate of the unregistered patients was significantly superior that mislead interpretation of treatment outcome. Meticulous registration of VRTs is crucial for correct evaluation of treatment outcome, especially across small countries with fewer numbers of cases.

scholarly journals Bi-LSTM based deep learning method for 5G signal detection and channel estimation

2021 ◽  
Vol 5 (4) ◽  
pp. 334-341
Author(s):  
D Venkata Ratnam ◽  
◽  
K Nageswara Rao ◽  
Keyword(s):  
Deep Learning ◽  
Wireless Communication ◽  
Channel Estimation ◽  
Signal Detection ◽  
Communication Systems ◽  
Estimation Method ◽  
Estimation Methods ◽  
Delay Spread ◽  
Learning Method ◽  
The Impact

<abstract> <p>The advanced neural network methods solve significant signal estimation and channel characterization difficulties in the next-generation 5G wireless communication systems. The number of transmitted signal copies received through multiple paths at the receiver leads to delay spread, which intern causes interference in communication. These adverse effects of the interference can be mitigated with the orthogonal frequency division modulation (OFDM) technique. Furthermore, the proper signal detection methods optimal channel estimation enhances the performance of the multicarrier wireless communication system. In this paper, bi-directional long short-term memory (Bi-LSTM) based deep learning method is implemented to estimate the channel in different multipath scenarios. The impact of the pilots and cyclic prefix on the performance of Bi LSTM algorithm is analyzed. It is evident from the symbol-error rate (SER) results that the Bi-LSTM algorithm performs better than the state of art channel estimation methods known as the Minimum Mean Square and Error (MMSE) estimation method.</p> </abstract>

Matlab-Based Formant Estimation

2014 ◽  
Vol 577 ◽  
pp. 798-801
Author(s):  
Jiao Yan Luo ◽  
Xiang E Sun
Keyword(s):  
Signal Processing ◽  
Estimation Method ◽  
Digital Signal ◽  
Speech Signal Processing ◽  
Short Time Fourier Transform ◽  
Transform Method ◽  
Processing Techniques ◽  
Short Time ◽  
Matlab Programming ◽  
Signal Processing Techniques

In the study of speech digital signal processing, the resonance peak is the major characteristics in reflecting track resonant. In order to be more conducive to the future development of speech signal processing techniques, three methods of the formant estimation are introduced in the article, namely, Short-time Fourier Transform method, Cepstrum, LPC estimation method. These methods are compared and analyzed by means of MATLAB programming, and it is concluded that LPC method is the best method, which can estimate the formant peaks more accurate.

A Comparative Analysis of Shipping Emissions Estimation Methodologies and their Applicability

2013 ◽  
Vol 734-737 ◽  
pp. 3042-3047
Author(s):  
Wei Xiao ◽  
Qing Qi Wei
Keyword(s):  
Comparative Analysis ◽  
Estimation Method ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Estimation Methods ◽  
Emissions Inventory ◽  
Specific Approach ◽  
The Difference ◽  
The Impact ◽  
Ship Movement

The shipping emissions estimation method is the premise and basis of making shipping emissions inventory, assessing the impact of shipping emissions, and promoting the work of energy saving and emissions reduction in transportation industry. The article analyzed the three main kinds of current representative shipping emissions estimation methods, i.e. simplified methodology and detailed methodology for estimating air pollutant emissions from ships presented by Techne Consulting, Tier1 and Tier2 methods from IPCC, and default approach, technology specific approach and ship movement methodology proposed by EMEP. Based on a comparative analysis of the characteristics of these estimation methods and their applicability, it was shown that: (1) the three kinds of methods from Techne Consulting, IPCC and EMEP are essentially the same, that is the emission equals to the product of the level of activities and emission factors, the difference lies in the level of detail of the activities are broken down; (2) the three shipping emissions calculation methods proposed by EMEP can be considered as the comprehensive and representative method, the default approach is a top-down method, and the technology specific approach and ship movement methodology are bottom-up approaches; (3) different methods have different applicability, the default approach proposed by EMEP is recommended to estimate CO2, SO2 emissions from shipping, and the technology specific approach and ship movement methodology are suitable for estimating the emissions of the other pollutants.

Simple and robust symbol rate estimation method for digital coherent optical receivers

2016 ◽  
Vol 366 ◽  
pp. 200-204 ◽  
Author(s):  
Sheng Cui ◽  
Wenjuan Xia ◽  
Jin Shang ◽  
Changjian Ke ◽  
Songnian Fu ◽  
...  
Keyword(s):  
Estimation Method ◽  
Optical Receivers ◽  
Rate Estimation ◽  
Symbol Rate

Robust Estimation Peculiarity of Robust Estimation Methods in Observations to Obey Generalized Gaussian Distribution

2014 ◽  
Vol 556-562 ◽  
pp. 4380-4385
Author(s):  
Peng Fei Xing ◽  
Yong Hui Ge ◽  
Yan Li
Keyword(s):  
Robust Estimation ◽  
Gaussian Distribution ◽  
Estimation Method ◽  
Simulation Method ◽  
Estimation Methods ◽  
Generalized Gaussian Distribution ◽  
The Impact

Robust estimation method in generalized Gaussian distribution of observations under obedience can effectively eliminate or reduce the influence of gross errors, however, peculiarity of different estimation methods are not the same. In this paper, it’s used simulation method, the commonly used 13 kinds of robust features robust estimation methods were compared. The results showed that: L1 method, Danish method, German-McClure method and IGGIII program is more efficient robust estimation methods in Observations to obey generalized gaussian distribution, which method is more effective than other commonly used to eliminate the impact of robust estimation of gross errors or weaken .

Sign in / Sign up

Export Citation Format

Share Document