Design and Analysis of a Wavelet Packet Modulation Based Differential Chaos Shift Keying Communication System

Hasan, Fadhil Sahib; Zaiter, Mohammed Joudah; Mohammed, Rawa Abed

doi:10.1007/s11277-019-06691-6

Cited by 8 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hasan et al; e sEMG of the right rectus femoris muscle was pedal with full force at 8% of the body weight of the subjects during the 60 s, and the recorded sEMG was processed, analyzed and studied by combining wavelet packet analysis and artificial neural network. In order to explore the change law of sEMG and its relationship with output power in the process of rectus femoris fatigue caused by full pedal bicycle in the 1960s, explore the quantitative evaluation method of sEMG for sports muscle fatigue [15].…”

Section: Literature Reviewmentioning

confidence: 99%

Muscle Strength Weighting Based on Deep Learning and Wavelet Packet and Muscle Fatigue Analysis Based on L-Z Complexity

Liu¹

2022

Advances in Multimedia

View full text Add to dashboard Cite

By studying the muscle sound signal of biceps brachii and gastrocnemius muscle, we try to find out the relationship between muscle force and load and the characteristic parameters of fatigue stage, so as to guide the exercise training well, ten healthy male college students were selected to perform static contraction experiments under different loads (0 lbs, 10 lbs....maximum load), and weight-bearing heel-lifting fatigue experiment. The relationship between load and muscle strength was analyzed by wavelet packet weighting and the L-Z complexity was used to analyze the muscle acoustic signal in the fatigue process. It has been verified that the L-Z complexity of the gastrocnemius muscle acoustic signal gradually decreases from the maximum in the early stage, relatively stable in the middle stage, and decreases again in the later stage of the weight-bearing heel-lifting exercise. The wavelet packet weighting algorithm makes the muscle strength and the weight-bearing well in line with the linear relationship, and the application of muscle strength map can better reflect the load of muscle. The L-Z complexity reflects the changes in muscle fiber recruitment during muscle fatigue and contraction to a certain extent, and provides a scientific basis for judging the fatigue state.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Muscle Strength Weighting Based on Deep Learning and Wavelet Packet and Muscle Fatigue Analysis Based on L-Z Complexity

Liu¹

2022

Advances in Multimedia

View full text Add to dashboard Cite

show abstract

“…S2P 's 16 output samples are linked to a correlator, in which the reference samples as well as the corresponding information samples were correlated using multipliers. i th correlator output is the variable i th decision, Di [19].…”

Section: Dcsk Demodulationmentioning

confidence: 99%

“…To reduce the complexity of Xilinx SG design related to the logarithm (log) process in (19), a lookup table is proposed by taking the values of rx and applying (19) as shown in Table 1. Figure 17 shows the details of the Xilinx SG design for the Pi calculation according to (19) for each bit equal to one.…”

Section: Log Domain Algorithmmentioning

confidence: 99%

FPGA implementation of LDPC soft-decision decoders based DCSK for spread spectrum applications

Hasan

Mosleh

Abdulhameed

2021

IJECE

Self Cite

View full text Add to dashboard Cite

Spread spectrum (SS) communications have attracted interest because of their channel attenuation immunity and low intercept potential. Apart from some extra features such as basic transceiver structures, chaotic communication would be the analog alternative to digital SS systems. Differential chaos shift keying (DCSK) systems, non-periodic and random characteristics among chaos carriers as well as their interaction with soft data are designed based on low-density parity-check (LDPC) codes in this brief. Because of simple structure, and glorious ability to correct errors. Using the Xilinx kintex7 FPGA development kit, we investigate the hardware performance and resource requirement tendencies of the DCSK communication system based on LDPC decoding algorithms (Prob. Domain, Log Domain and Min-Sum) over AWGN channel. The results indicate that the proposed system model has substantial improvements in the performance of the bit error rate (BER) and the real-time process. The Min-Sum decoder has relatively fewer FPGA resources than the other decoders. The implemented system will achieve 10-4 BER efficiency with 5 dB associate Eb/No as a coding gain.

show abstract

Design and Analysis of Three-Way Relay Network Coding Schemes Based Differential Chaos Shift Keying Communication System

Hasan

2020

Wireless Pers Commun

View full text Add to dashboard Cite

Design and Analysis of a Wavelet Packet Modulation Based Differential Chaos Shift Keying Communication System

Cited by 8 publications

References 15 publications

Muscle Strength Weighting Based on Deep Learning and Wavelet Packet and Muscle Fatigue Analysis Based on L-Z Complexity

Muscle Strength Weighting Based on Deep Learning and Wavelet Packet and Muscle Fatigue Analysis Based on L-Z Complexity

FPGA implementation of LDPC soft-decision decoders based DCSK for spread spectrum applications

Design and Analysis of Three-Way Relay Network Coding Schemes Based Differential Chaos Shift Keying Communication System

Contact Info

Product

Resources

About