资源列表
bbo
- 用matlab实现生物地理学优化算法，生物地理学优化算法是一种很好地演化计算的方法，可用于车间调度等诸多问题(Using MATLAB to achieve biogeography optimization algorithm, biogeography optimization algorithm is a good method of evolutionary computation, which can be used in many problems such as workshop
pinpuguji
- 信号频率估计均方误差图，以克拉美洛界（CRB）界做对比分析MATLAB实用程序(Signal Frequency Estimation Mean Square Error Graph to Combine the Kramer (CRB) Sector to Make a Comparative Analysis MATLAB Utility)
蚁群算法
- 简单的蚁群算法程序，适合初学者，里面是路径规划的内容(Simple ant colony algorithm program, suitable for beginners)
sxmeq
- Can be widely used in data analysis and forecast data, It contains CV, CA, Single, current, constant turn rate, turning model, Including compression ratio, image restoration computing uptime and peak signal to noise ratio.
Optimal problem solver
- 优化问题求解方法包括牛顿法、共轭梯度法和最速下降法(The optimization problems are solved by Newton method, conjugate gradient method and steepest descent method)
声音解析matlab
- 对非平稳信号进行分段、截取，再做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征。(The non-stationary signals are segmented and intercepted, and then the short-time Fourier transform is used to analyze their frequency spectrum characteristics, and the frequency charact
STFFTtool
- 对非平稳信号进行分段、截取，将非平稳信号转化为平稳信号，再做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征。(The non-stationary signals are segmented and intercepted, and then the short-time Fourier transform is used to analyze their frequency spectrum characteristics, and the fre
STFFTtool1
- 对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysis of the spectrum charac
从滞回曲线提取骨架曲线点Matlab程序
- 钢筋混凝土低周往复加载试验从滞回曲线提取骨架点(Skeleton point extraction of hysteresis curve)
STFFTtool2
- 对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征，达到区分不同声音的目的。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysis of the spe
STFFTtool3
- 对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征，一图像的形式表达出，最终达到区分不同声音的目的。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysi
keypoint
- 对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征，以图像的形式表达出，最终达到区分不同声音的目的。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysi