• 제목/요약/키워드: CR iteration

검색결과 3건 처리시간 0.016초

STRONG CONVERGENCE THEOREMS FOR A QUASI CONTRACTIVE TYPE MAPPING EMPLOYING A NEW ITERATIVE SCHEME WITH AN APPLICATION

  • Chauhan, Surjeet Singh;Utreja, Kiran;Imdad, Mohammad;Ahmadullah, Md
    • 호남수학학술지
    • /
    • 제39권1호
    • /
    • pp.1-25
    • /
    • 2017
  • In this paper, we introduce a new scheme namely: CUIA-iterative scheme and utilize the same to prove a strong convergence theorem for quasi contractive mappings in Banach spaces. We also establish the equivalence of our new iterative scheme with various iterative schemes namely: Picard, Mann, Ishikawa, Agarwal et al., Noor, SP, CR etc for quasi contractive mappings besides carrying out a comparative study of rate of convergences of involve iterative schemes. The present new iterative scheme converges faster than above mentioned iterative schemes whose detailed comparison carried out with the help of different tables and graphs prepared with the help of MATLAB.

GPU를 이용한 반복적 물리 광학법의 가속화에 대한 연구 (Acceleration of the Iterative Physical Optics Using Graphic Processing Unit)

  • 이용희;진희철;김경태
    • 한국전자파학회논문지
    • /
    • 제26권11호
    • /
    • pp.1012-1019
    • /
    • 2015
  • 본 논문은 공동구조의 RCS(Radar Cross Section)을 계산하는 반복적 물리 광학법(Iterative Physical Optics: IPO)의 연산속도를 가속하는 기법들을 효과적으로 적용하는 방법을 제시한다. IPO는 기존에 공동 구조 내부에서 발생하는 다중 반사 효과 계산 시 기하 광학법(Geometric Optics: GO)를 사용하는 SBR(Shooting and Bouncing Rays)과는 달리 근거리 필드 식을 활용하기 때문에 정확도가 향상된 산란 계산이 가능하다. 하지만 PO(Physical Optics)에 비해 크게 느리며, 실질적인 사용을 위해서는 계산속도의 향상을 위한 기법이 필요하다. 이를 해결하기 위해 IPO에서 특징적으로 사용되는 반복적 부분을 GPU(Graphic Processing Unit)으로 계산하고, AIPO-CR(Adaptive Iterative Physical Optics-Change Rate)으로 반복횟수를 최적화하여 효과적으로 연산속도를 향상시킨다.

An optimization technique for simultaneous reduction of PAPR and out-of-band power in NC-OFDM-based cognitive radio systems

  • Kaliki, Sravan Kumar;Golla, Shiva Prasad;Kurukundu, Rama Naidu
    • ETRI Journal
    • /
    • 제43권1호
    • /
    • pp.7-16
    • /
    • 2021
  • Noncontiguous orthogonal frequency division multiplexing (NC-OFDM)-based cognitive radio (CR) systems achieve highly efficient spectrum utilization by transmitting unlicensed users' data on subcarriers of licensed users' data when they are free. However, there are two disadvantages to the NC-OFDM system: out-of-band power (OBP) and a high peak-to-average power ratio (PAPR). OBP arises due to side lobes of an NC-OFDM signal in the frequency domain, and it interferes with the spectrum for unlicensed users. A high PAPR occurs due to the inverse fast Fourier transform (IFFT) block used in an NC-OFDM system, and it induces nonlinear effects in power amplifiers. In this study, we propose an algorithm called "Alternative Projections onto Convex and Non-Convex Sets" that reduces the OBP and PAPR simultaneously. The alternate projections are performed onto these sets to form an iteration, and it converges to the specified limits of in-band-power, peak amplitude, and OBP. Furthermore, simulations show that the bit error rate performance is not degraded while reducing OBP and PAPR.