Introduction to Improved Blind

What is/are Improved Blind?

Improved Blind - Additional research with improved blinding methods is warranted to further explore the nature of non-specific and placebo effects in true and sham acupuncture. ^[1] More high-quality research is needed with improved blinding and use of standardized methods to evaluate the efficacy of DAs. ^[2] In order to solve the ringing effect caused by the incorrect estimation of the blur kernel, an improved blind image deblurring algorithm based on the dark channel prior is proposed. ^[3] This paper proposes an improved blind motion deblurring method with Generative Adversarial Network, which achieved good results. ^[4] Recently, Zhang, Jiang and Zheng, and Alkadri, Bansarkhani and Buchmann proposed two improved blind signature schemes based on the SIS problem and the Ring SIS problem in 2018 and 2020, respectively. ^[5] This facilitated increased peak stimulation amplitudes without induction of dyskinesias and demonstrated improved blinded clinical ratings compared to continuous DBS, despite reduced total electrical energy delivered. ^[6] Based on the conclusion, an improved blind recognition method with denoising, the core principle of which is reducing error bits on the principal diagonal of data storage matrix, is proposed in this paper. ^[7] The simulation shows that the improved blind separation algorithm has better separation performance. ^[8] Then, the improved blind deletion rough set method was used to reduce the size of the evaluation index while keep the evaluation power. ^[9] A multi-channel digital processing structure based on SoC is proposed, and an improved blind source separation (BSS) algorithm is used to separate collided signals from different SOTDMA zones. ^[10] An improved blind spectrum sensing scheme is established by the covariance matrix Cholesky decomposition and radial basis function (RBF)-support vector machine (SVM) decision classification at low signal-to-noise ratios (SNRs). ^[11] In this paper, we present an improved blind channel estimation and equalization method based on 4th order cumulant to overcome the distortion caused in an aeronautical telemetry channel due to multipath and fading. ^[12] In order to improve the quality of remote sensing images, an improved blind deblurring algorithm for remote sensing images based on dark channel prior is proposed. ^[13]