Semiconductor Manufacturing International (shanghai) Corporation

Semiconductor Manufacturing International (beijing) Corporation

Shanghai Research Center for Wireless Communications

Hao Jun Huang

Fang Wang

Hong Li

Jing Xu

Yong Gen He

Hua Qian

Xiaotao Wang

A method for forming a semiconductor structure includes forming a dielectric layer on a substrate, including a first region and a second region; forming a first gate opening and a second gate opening in dielectric layer of the first region and the second region, respectively; forming initial work function layers on bottom and sidewall surfaces of the first gate opening and the second gate opening; and performing at least one cycle of a combined etching process to etch the initial work function layers formed in the first gate opening and form a work function layer in the second gate opening from the initial work function layers. Each cycle of the combined etching process includes performing an oxide etching process to etch the initial work function layers; and then performing a main etching process on the initial work function layers to remove an exposed initial work function layer.

Semiconductor structure and method for forming the same

A channel decoding method and decoder are disclosed. The decoding method is based on a Circular Viterbi Algorithm (CVA), rules out impossible initial states one by one through iterations according the received soft information sequence, and finally finds the global optimal tail-biting path. In the present invention, all impossible iterations are ruled out through multiple iterations, and only the initial state having most likelihood with the received sequence survives. The algorithm is finally convergent to an optimal tail-biting path to be output. In addition, the method also updates a metric of a maximum likelihood tail-biting path (MLTBP) or rules out impossible initial states through the obtained surviving tail-biting path, thereby effectively solving the problem that the algorithm is not convergent due to a circular trap, providing a practical optimal decoding algorithm for a tail-biting convolutional code, reducing the complexity of an existing decoding scheme, and saving the storage space.

Channel decoding method and decoder for tail-biting codes

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Shanghai, China

Hao Jun Huang