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In statistics, Isomap is one of several widely used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional scaling). Isomap is used for computing a quasi-isometric, low-dimensional embedding of a set of high-dimensional data points. The algorithm provides a simple method for estimating the intrinsic geometry of a data manifold based on a rough estimate of each data point’s neighbors on the manifold. Isomap is highly efficient and generally applicable to a broad range of data sources and dimensionalities.

智能算法30例源程序，包括粒子群算法，遗传发，免疫算法 等的单目标及多目标实际应用(30 cases of intelligent algorithm source code（MATLAB）)

这是2007年安徽理工大学 多目标遗传算法应用研究硕士论文(This is 2007, Anhui University of application of multi-objective genetic algorithm pp)

Speex语音编码算法实现与优化.pdf(Speex speech coding algorithm and optimization. Pdf)

GPS filtering down to prevent

基于SVPWM的三相异步电机动态仿真 simulink和m模块(Based on SVPWM three-phase asynchronous motors dynamic simulation, simulink module)

说明：  线性卡尔曼滤波在温度测量、自由落体运动目标追踪、GPS导航定位、石油地震勘测、视频图像目标追踪中的应用(Application of Linear Kalman Filter in Temperature Measurement, Free-falling Motion Target Tracking, GPS Navigation and Positioning, Petroleum Seismic Survey and Video Image Target Tracking)

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)

线性AGC的程序。该程序仿真了线性AGC的工作过程，画出的图反映了线性AGC对幅度跳变敏感的特性(Linear AGC process. The program simulated the working process of the linear AGC, draw the figure reflects the magnitude of jump linear AGC on the characteristics of sensitive)

说明：  通信中QAM MATLAB代码，希望对大家有帮助！(Communication QAM MATLAB code, we want to help!)