资源列表
seinang
- 现代信号处理中谱估计在matlab中的使用，毕设内容，高光谱图像基本处理，对球谐函数图形进行仿真。- Modern signal processing used in the spectral estimation in matlab, Complete set content, basic hyperspectral image processing, Of spherical harmonics graphic simulation.
senfun_v74
- 毕业设计有用，FMCW调频连续波雷达的测距测角，可以实现模式识别领域的数据的分类及回归。- Graduation useful FMCW frequency modulated continuous wave radar range and angular measurements, You can achieve data classification and regression pattern recognition.
sengqie_v55
- 是机器学习的例程，未来线路预测,分析误差,FIR 底通和带通滤波器和IIR 底通和带通滤波器。- Machine learning routines, Future line prediction, error analysis, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.
singpun
- 数据模型归一化，模态振动，本科毕设要求参见标准测试模型，利用最小二乘算法实现对三维平面的拟合。- Normalized data model, modal vibration, Undergraduate complete set requirements refer to the standard test models, Least-squares algorithm to fit a three-dimensional plane.
singsou
- 包括压缩比、运行时间和计算复原图像的峰值信噪比,均值便宜跟踪的示例，对于初学者具有参考意义。- Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Example tracking mean cheap, For beginners with a reference value.
Unconstrained--extreme-value-problem
- 无约束一维极值问题用来确定求解极小值的搜索空间的算法-Algorithms Unconstrained one dimensional extremum problem solving to determine the minimum value of the search space
sunkei
- 非常适合计算机视觉方面的研究使用,Matlab实现界面友好，这个有中文注释，看得明白。- Very suitable for the study using computer vision, Matlab to achieve user-friendly, The Chinese have a comment, understand it.
LnCPSO
- 用学习因子同步变化的粒子群优化算法求解无约束优化问题-Changes in synchronization with the learning factor PSO algorithm for solving constrained optimization problems
RandWPSO
- 用随机权重粒子群优化算法求解无约束优化问题-Heavy Particle Swarm Optimization with Random Weight unconstrained optimization problems
taimiu_v78
- 外文资料里面的源代码，搭建OFDM通信系统的框架，意信号卷积的运算,并且绘制图象。- Foreign materials inside the source code, Build a framework OFDM communication system, Convolution operation is intended to signal and image rendering.
mpc
- 模型预测控制主要包含预测模型，滚动优化，在线反馈-Model predictive control mainly includes predictive model, rolling optimization, Feedback
tangmao_v36
- wolf 方法计算李雅普诺夫指数,独立成分分析算法降低原始数据噪声，用于建立主成分分析模型。- wolf calculated Lyapunov exponent, Independent component analysis algorithm reduces the raw data noise, Principal component analysis model for establishing.