该模型以运动过程中的脑皮层神经元集合信号为输入，将光标的空间运动轨迹作为输出。
In this model, the inputs were firing rates of neurons, and the outputs of model were hand trajectory in space.
为此，本文提出了利用信号集合划分研究过完备原子库的新方法。
To reduce this high computational complexity, a new method is proposed to deal with the over-complete dictionary based on the signal set partitioning method.
本文研究了强杂波干扰背景下运用模糊集合理论解决高分辨雷达信号的检测问题。
The problem of detecting the signals of high-resolution radar (HRR) in high clutter environments is investigated in this paper, with the use of theory of fuzzy sets.
考虑了具有缓变输入信号的非线性动力系统的一类平衡点集合的稳定性。
Stability for a certain family of equilibrium of a nonlinear system with varying input signals was considered.
根据跳频信号瞬时带宽，将潜在跳频频率点邻域时频图投影到时域，分选潜在频率跳变点集合。
The potential temporal hopping point set is fetched from the temporal projection variance of the adjacent domain time-frequency image according to the instantaneous signal bandwidth.
杂交阳性信号主要分布在肾小管和集合管上皮细胞。
The positive signal of ISH was mainly distributed in the epithelium of renal tubule and collecting duct.
针对信号稀疏分解中过完备原子库存储量大的问题，本文提出了利用信号集合划分研究过完备原子库的新方法。
Aiming at the problem of the large over-complete dictionary storage, a new method is proposed based on signal set partitioning method.
该平台的一个特点是，根据指定的关键信号使用数据流分析产生关键路径集合，并采用基于该集合的路径覆盖率作为适应度函数引导模拟矢量的生成。
Given the critical signals, it USES techniques of data flow analysis to acquire the critical path set and choose the critical path coverage to be the fitness function used in the GA.
通过沿时间轴对采样信号加窗的方式构造向量集合，利用余弦相似度进行向量间亲合度的匹配计算，实现在实数域进行匹配计算的实数值负向选择算法。
The matching affinity between two vectors was measured using cosine similarity to develop a real-valued negative selection algorithm with the matching calculation in the real domain.
基本思想是对于预测 误差图像信号的分解，不再采用传统的晶格DCT变换，而是选择采用一个拥有更多基函数的冗 余字典集合。
The main idea lies in decomposing the difference frame of prediction in a redundant dictionary with much more basis functions, giving up traditional lattice DCT transform.
基本思想是对于预测 误差图像信号的分解，不再采用传统的晶格DCT变换，而是选择采用一个拥有更多基函数的冗 余字典集合。
The main idea lies in decomposing the difference frame of prediction in a redundant dictionary with much more basis functions, giving up traditional lattice DCT transform.
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