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用MATLAB程序实现对同一问题的欧拉法计算、后退欧拉法计算、龙格库塔法则计算和提醒法则的计算，很有代表性与通用性(MATLAB program to achieve the same with the Euler method to calculate the problem, Euler backward method, Runge-Kutta rule calculations and advise law computation, very representative and universal)

希尔伯特黄变换的源代码及其MATLAB软件包(HHT code)

The digital wideband receiver is a critical component in modern digital receivers. The receiver has the capability to expose and distinguish adverse signals contained within a large bandwidth (on the order of 1 GHz or more) of the radio frequency (RF) spectrum. The spectral estimator is a highly important design element imperative to the detection of the hostile signals within the intended bandwidth in order to fulfill mission requirements. This crucial element of an FFT-based digital receiver presented several challenges in the development of this research. The task at hand was to minimize the total hardware consumption contributed to the complex arithmetic operations while maintaining a high single signal spurious-free dynamic range (SFDR) and multi-tone instantaneous dynamic range (IDR).

function [ndata,a]=splinenormalize(data) The function SPLINENORMALIZE normalizes with splines, the data(n,m) where n specifies the number of time points, and m is the number of IMF components. The normalization is carried out with both maxima and minima hence emax is taken as the absolute sign.

Entropy calculation of a file

RSSI Localization algorithm

make the epipolar line using matlab code.

Image auto contract matlab

人工智能中比较经典的c-means算法的实现。在MATLAB中，数据使用矩阵存储比vc中好实现！(Comparison of artificial intelligence in the classic c-means algorithm. In MATLAB, the use of data storage than the vc matrix of the realization of good!)

时频分布已被用来提供高分辨率表示大量的信号处理应用程序。然而,高分辨率和准确瞬时频率(如果)估计通常依赖于分布和使用信号相位函数的复杂性。(The time-frequency distribution has already been used to provide high resolution said a lot of signal processing applications. However, high resolution and accurate instantaneous frequency (if) estimates usually depends on the distribution and use of the complexity of the signal phase function.)