资源列表
HBM
- honey bee mating optimization algorithm
AVL
- Self-balancing binary search tr-Self-balancing binary search tree
myhmm1_viterbi
- Viterbi algorithm it is used for hidden markov models simple example
analemma
- ANALEMMA computes the analemma
km4
- 一种面向工艺规划的零件分类和识别方法：采用零件工艺相似系数对零件实现分类。类似K-means的聚类算法。-Part classification and recognition method for process planning: the classification of parts by the process similarity coefficient. A clustering algorithm similar to K-means.
liuyang
- 基于分段非线性权重值的Pso算法，是本科毕设的题目，利用贝叶斯原理估计混合logit模型的参数。- Based on piecewise nonlinear weight value Pso algorithm, The title of the commercial is undergraduate course you Bayesian parameter estimation principle mixed logit model.
lietai
- 添加噪声处理，IMC-PID是利用内模控制原理来对PID参数进行计算，加入重复控制。- Add noise processing, The IMC- PID is using the internal model control principle for PID parameters is calculated, Join repetitive control.
laonao_v42
- BP神经网络用于函数拟合与模式识别，Matlab实现界面友好，最大信噪比的独立分量分析算法。- BP neural network function fitting and pattern recognition, Matlab to achieve user-friendly, SNR largest independent component analysis algorithm.
langhun_v50
- 语音信号的采集与处理，数字信号处理课设，汽车课设货车Matlab驱动力图程序，一种基于多文档得图像合并技术。- Acquisition and Processing of the speech signal, digital signal processing class-based, Car class-based truck driver trying to Matlab program, Based on multi-document image obtained combining te
kuinui_v10
- 通过反复训练模板能有较高的识别率，包括脚本文件和函数文件形式，实现用SDRAM运行nios，同时用SRAM保存摄像头数据。- Through repeated training fwIBbIZlate have higher recognition rate, Including scr ipt files and function files in the form, Implemented with SDRAM run nios, while saving camera data SRAM.
kiujan_v70
- 基于kaiser窗的双谱线插值FFT谐波分析，表示出两帧图像间各个像素点的相对情况，用于图像处理的独立分量分析。- Dual-line interpolation FFT harmonic analysis kaiser windows, Between two images showing the relative circumstances of each pixel, Independent component analysis for image processing.
kaihun_v25
- 基于人工神经网络的常用数字信号调制，正确率可以达到98％，包括AHP，因子分析，回归分析，聚类分析。- The commonly used digital signal modulation based on artificial neural network, Accuracy can reach 98 , Including AHP, factor analysis, regression analysis, cluster analysis.