搜索资源列表
chafen
- 这是煤矿提升钢丝绳漏磁检测信号的一个一阶差分法处理程序,该方法可以消除漏磁检测信号的相关性-remove the relevent property of one-dimentional signal
1
- 计算具有稳定内热源的二维稳态导热问题程序-Calculate the two-dimentional steady state heat conduction question procedure with steady interior heat source
2DGaborfilter
- two dimentional gabor filter
lyapunovindex
- 混沌计算程序源文件——包括计算Lyapunov指数的5种方法:C-C算法,最小数据量算法,G-P算法,关联维数法,互信息量法。-the original programs to calculate chaos in order to count the Lyapunov index out. Including 5 such methods: c-c method, minimum data method, G-P, mutual in
Invariant_Line_Segment_Matching
- function Invariant_Line_Feature_Matching ___DEscr iptION___ Compare segmented line pairs as 4 dimentional line pair features ( Q1 , Q2 , Drelative , D? ) Example : Invariant_Line_Feature_Matching ( )
3D-SPIHT
- three dimentional spiht
Initiation_Aide_Matlab
- this M - file calculate the gradient of a two dimentional function
5
- An image is represented as a two-dimentional array of coefficients, each coefficient representing the brightness level in that point. When looking from a higher perspective, we can t differentiate between coefficients as
6
- An image is represented as a two-dimentional array of coefficients, each coefficient representing the brightness level in that point. When looking from a higher perspective, we can t differentiate between coefficients as
7
- An image is represented as a two-dimentional array of coefficients, each coefficient representing the brightness level in that point. When looking from a higher perspective, we can t differentiate between coefficients as
8
- An image is represented as a two-dimentional array of coefficients, each coefficient representing the brightness level in that point. When looking from a higher perspective, we can t differentiate between coefficients as
9
- An image is represented as a two-dimentional array of coefficients, each coefficient representing the brightness level in that point. When looking from a higher perspective, we can t differentiate between coefficients as
10
- An image is represented as a two-dimentional array of coefficients, each coefficient representing the brightness level in that point. When looking from a higher perspective, we can t differentiate between coefficients as
11
- An image is represented as a two-dimentional array of coefficients, each coefficient representing the brightness level in that point. When looking from a higher perspective, we can t differentiate between coefficients as
12
- An image is represented as a two-dimentional array of coefficients, each coefficient representing the brightness level in that point. When looking from a higher perspective, we can t differentiate between coefficients as
13
- An image is represented as a two-dimentional array of coefficients, each coefficient representing the brightness level in that point. When looking from a higher perspective, we can t differentiate between coefficients as
1DconductionTDMA
- Heat Transfer One dimentional steady conduction&TDMA source code for the Visual c
one-dimentional-search-method
- 一维搜索方法,解优化问题,用于机械优化设计等课程-one dimentional search method
two-dimentional identification code
- Good fundermental study about two-dimentional identification code
one-dimentional-resonance
- one dimentional resonator