- gbest_initialization particle swarm optimization
- accumTS time series traslalte trasla daily to monthly to annual
- NMM1.5-numercial-analysis-toolbox 包含matlab计算中常用的各种算法
- receive C8051F310单片机通过无线传输接收信号在lcd显示
- Kriptografi-Ter-Puter Kriptografi Ter Puter made by indonesian university student
- doa_cs_ty_dj_yuedu 关于雷达参数估计的一个范例
资源列表
class
- ACM中班级排名,很经典的算法,希望对大家游泳
fft2d
- 2维fft程序,包括fortran和c语言
060915225143
- matlab到C的转换例程
2005523215631714_600it
- 此程序是我在作毕业设计时做的在c#环境下,用于dijkstra最短路径算法的实现,程序相当完美,希望能为大家提供便利。
matlab.frequency
- 产生中频和高频信号及其相应滤波器,并对其进行滤波和分析
matlab_eof
- 基于matlab的各种EOF分解程序,包括旋转EOF分解,复数EOF分解等,包中带详细的例子
4_interp_for
- 4总常用的插值程序的Fortran90源代码,包括双线性插值等插值方法
MCMC_Unscented_Particle_Filter_demo
- The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eri
Reversible_Jump_MCMC_Bayesian_Model_Selection
- This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation paramete
On-Line_MCMC_Bayesian_Model_Selection
- This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation a
windows
- LVwutil32对windows操作函数库
AdaptiveHuffmanCompression
- 自适应huffman编码工具,完整的源代码,非常好用。
