algorithm造句
181. In this paper, a new algorithm samplingaction and short - term memory is presented.
182. These show that tool - status - recognition rule can be well obtained with this algorithm.
183. The real-time performance is improved by establishing a real-time task queue and executing a task rotation priority scheduling algorithm.
184. Without any other additional circuit, the algorithm achieved a pipelined architecture of rounding method by adjusting the quantization level, the quantization error ranged from -1/2LSB to 1/2LSB.
185. The power feedback control system consists oft he power detection unit and DSP unit. In this paper the design ofp ower detection circuit and the power control algorithm flow are focused.
186. The disturbance decoupling problem for nonlinear generalized time varying control systems is discussed. A new decoupling algorithm is proposed.
187. The efficiency of this algorithm is testified by numerical experimentation.
188. As application field of cryptography, nonreversible algorithm and hardware encryption technique will also be the essential technology in future.
189. The algorithm can efficiently overcome the shortcomings of the classical FFT and cross- periodogram methods for cross-spectral estimation.
190. A simplified objective function and a modified clonal algorithm ( CLONALG ) based on memory are proposed.
191. This paper proposes CF - WFCM algorithm including feature weight learning algorithm and clustering algorithm.
192. A dynamic resouces chain algorithm is proposed to support concurrent services in the distributed communication network circumstances.
193. In this paper, convolution code is carried out by the structure of coder,[www.] and decoding is carried out by Viterbi decoding algorithm.
194. Recently, BCI developed rapidly, and its researches mostly concentrated on feature extraction and translation algorithm.
195. The condition of existence of solution and its algorithm are given, the rounding error of the solution process is analyzed and the convergence of the spline is proved.
196. Based on different properties of the coefficient modulus of the signal in different scale wavelet transform, conjunction the best estimate of gradient algorithm an edge detecting method is proposed.
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