| 1. | A new class orthogonal system for signal multi - resolution analysis
信号多分辨分析的一类新的正交基 |
| 2. | Moreover , using orthogonal bases we obtain the most compact representation of approximation
此外，利用正交基得到逼近的最简洁的表达式。 |
| 3. | Construction and classification of a set of complete orthogonal basis functions in the arbitrary triangular domain
任意三角形区域中一组完备正交基的构造与分类 |
| 4. | In particular , we treat a position - dependent approximation with no search using orthogonal bases of l
特别地，利用l ~ 2的正交基处理一个与位置有关的逼近问题，不需要搜索过程。 |
| 5. | In this paper , we ' ll give another simple method to seek normal orthogonal basis by using the properties of positive definite matrix
摘要利用正定矩阵的性质，得到标准正交基的另一种较简单的求法。 |
| 6. | ( 3 ) to make trig - cluster constringed by acquiring other orthogonal base . the third problem brought on the birth of wavelet that has gone through about a hundred years
( 3 )求得另外的正交基，使时于在三角族情形下的发散现象在此时不致发生。 |
| 7. | We investigate the relations between certain bases and quasi - bases , prove that a space has finite rank base if and only if it has finite rank quasi - base , a space has an ortho - base if and only if it has an ortho - quasi - base
摘要我们研究了某些基与拟基的关系，证明了空间具有有限秩的基当且仅当它有有限秩的拟基，空间具有正交基当且仅当它有正交的拟基。 |
| 8. | Two sorts of general base function property is analyzed , they are trigonometric function and walsh function . arming at projection compounding model , a learning algorithm base on weight function expanded on certain base function is proposed
分析了三角函数基及沃尔什函数基两类常用基函数的性质，并针对投影组合模型给出了基于权函数正交基展开的学习算法。 |
| 9. | The feed back procedure neural network structure is researched . in the course of research of pnn algorithm , applying the concept of vertical base function , integral operation is convert to additive operation and complicated aggregation in time field is avoided
在过程神经元网络的算法研究中，应用函数空间正交基的概念，可将积分算子变换为求和算子，从而有效避免了繁杂的时域聚合运算。 |
| 10. | By introducing a set of appropriate orthogonal basis functions into the input space , the input functions and the weight functions are expanded under the orthogonal basis functions , and the time aggregation operation of the process neurons is simplified by using the orthogonality of the basis functions
在输入空间中引入一组合适的函数正交基，将输入函数和网络权函数表示为该组正交基的展开形式，并利用基函数的正交性简化网络聚合运算过程。 |
