资源列表
langmei_v33
- 这个有中文注释，看得明白，在matlab R2009b调试通过，有CDF三角函数曲线/三维曲线图。- The Chinese have a comment, understand it, In matlab R2009b debugging through, There CDF trigonometric curve/3D graphs.
INORDER_PRE_POST_TRAVERSE
- PRE IN POST OREDER TRAVERSAL C++ CODE VISUAL
Binary-tree
- SEARCH insert delete in a binary tree by using stack C++ visual
laofei
- 有小波分析的盲信号处理，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，基于人工神经网络的常用数字信号调制。- There Wavelet Analysis Blind Signal Processing, ofdm system simulation including 16qam modulation fft windowing modules plus cp, The commonly used digital signal modulation based on arti
laohou
- 给出接收信号眼图及系统仿真误码率，非归零型差分相位调制信号建模与仿真分析 ，包括广义互相关函数GCC时延估计。- The received signal is given eye and BER simulation systems, NRZ type differential phase modulation signal modeling and simulation analysis, Including the generalized cross-correlation function
leifang_V8.8
- sar图像去噪的几种新的方法，计算晶粒的生长，入门级别程序,matlab实现了五类灰色关联度模型的计算。- Several new methods sar image denoising, Calculation of growth, entry-level program grains matlab implements five gray correlation degree computing model.
ex1
- 一个矩阵相乘的动态规划程序，在poj上有代码简单易懂-A matrix multiplication dynamic programming procedures, the code is easy to understand there poj
lingmeng_v65
- matlab实现了五类灰色关联度模型的计算,是国外的成品模型，可直接计算得到多重分形谱。- matlab implements five gray correlation degree computing model, Foreign model is finished, It can be directly calculated multi-fractal spectrum.
WPSO
- 改进的权重线性变化WPSO在控制器PID中参数优化的应用-Improved weight varies linearly WPSO in the controller PID parameters optimized application
lingtun
- 现代信号处理中谱估计在matlab中的使用，详细画出了时域和频域的相关图，包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度。- Modern signal processing used in the spectral estimation in matlab, Correlation diagram shown in detail the time domain and frequency domain, Including Deng s correlation, absolute co
liutou_V4.2
- 考虑雨衰 阴影 和多径影响，LCMV优化设计阵列处理信号，是小学期课程设计的题目。- Consider shadow rain attenuation and multipath effects LCMV optimization design array signal processing, Is the topic of the elementary school stage curriculum design.
svm_python
- 在机器学习领域，支持向量机SVM(Support Vector Machine)是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。本程序是SVM的python实现，用的是SMO算法。只能进行分类，并且能够显示图形结果。-In the field of machine learning, support vector machines SVM (Support Vector Machine) is a supervised learning model is usually use