资源列表
Combinatorial-Auctions
- 采用禁忌搜索算法解决组合拍卖问题，在短时间内找到近似最优解，用C++语言实现。-Tabu search algorithm for solving combinatorial auctions, in a short time to find the approximate optimal solution with C++ language.
SPDP(GRASP_RP)
- 可选择节点的取货送货问题，采用Grasp and Path-relinking的算法，通过类似遗传算法的方法解决问题。-Alternatively nodes pickup and delivery, the use of Grasp and Path-relinking algorithm to solve the problem by a method similar to the genetic algorithm.
MWCP(TS)
- 采用禁忌搜索算法解决最大权值团问题，包含最大独立集于最大权值团之间的转换问题。-Tabu search algorithm using the maximum weight clique problem solving, contains the largest independent set in the maximum weight conversion problems between the groups.
speex-1.2rc2.tar
- 语音压缩和回声消除，支持LINUX和其他平台-voip echo cancellation
OMR-Scanner-Project
- Matlab code for omr calculation
mfile
- 搭建了一个在有高斯白噪声与瑞利衰落共同存在的信道下的OFDM 发送接受系统，研究了信道均衡技术，与相关的误码率曲线-OFDM has a built in white Gaussian noise and Rayleigh fading channels under the co-existence of the sending and receiving systems, channel equalization technology research, and related BER cur
Noise-Reduction
- 轴承内圈齿轮齿根齿轮故障信号小波降噪的matlab源码- Gear fault signal Wavelet Transform matlab source
range_compression
- SAR数据三种形式的脉冲压缩例子，并给出加窗前后峰值旁瓣比，对脉冲压缩效果进行估计。-SAR data three forms of pulse compression examples, and gives added window after peak sidelobe ratio of pulse compression effect estimates.
chirp_sig
- chirp 信号的产生，频谱以及分别在时域和频域的匹配滤波。对信号处理初学者提供参考。- Generated chirp signal spectrum and matched filtering at each domain and frequency domain. Provide a reference for signal processing for beginners.
frost
- SAR图像斑点噪声压缩的经典Frost程序-SAR Image speckle compression classic Frost program
chirp
- 基带线性调频信号时域和频域表达 非基带线性调频信号时域和频域表达 时域卷积和相关 雷达回波信号以及三种脉冲压缩方法-baseband signal and non-baseband signal are send in frequency domain and time domain convolution and correlation in time domain Radar echo signal and three pulse compression method
Bayes
- 本程序是使用的Python写的一个Bayes分类器，通过这个程序可以大致掌握Bayes的原理。-This procedure is used to write a Python Bayes classifier, through this program can be broadly master the principles of Bayes.