matlab

雷达数据预测，包括航迹仿真、卡尔曼滤波等 (radar data projections, including track simulation, Kalman filtering)

DFT进行频谱分析时的三种现象 1、混叠：对连续信号采样，要求连续信号是带限的，采样频率要足够高。Fs应满足Nyquist采样定理才不产生混叠。 采样前加低通滤波器防混叠 2、频谱泄漏：DFT对时域信号进行了截断（相当于采样信号乘了一个窗函数），时域的乘积相当于频域卷积，改变了原信号频谱。 改用其他窗函数（非矩形）改善泄漏。 3、栅栏现象：DFT 只给出了频谱在采样点上的取值，采样点间的频谱内容丢失。(DFT spectrum analysis of a three phenomena, aliasing : continuous signal sampling, requiring continuous signal is band-limited, the sampling frequency should be high enough. Fs meet the Nyquist Sampling Theorem would not have aliasing. Sampling former low-pass filter plus anti-aliasing 2, spectrum leakage : DFT right time domain signal a disconnect (equivalent to a sampling signal by a window function). time domain is equivalent to the product of frequency-domain convolution, changes in the spectrum of the original signal. Window functions to switch to other (non-rectangular) to improve leakage. 3, fenced phenomenon : DFT spectrum is given only at the sampling point value, sampling points of the spectrum as lost.)

MATLAB有关谱聚类方面的资料，这是网上下载的资料，有需要的可以下载参考一下(MATLAB神经网络原理与实例精解，这是网上下载的资料，有需要的可以下载参考一下 Google 翻译微软翻译Click2TranslateCross LanguageSYSTRANReverso TranslationExcite MATLAB related spectral clustering information, this is a download information, reference can be downloaded in need )

its a matlad code for ridge segmentation for fingerpprint recognition project

采用FDTD方法计算一维空间下，考虑碰撞的等离子体中的电磁场的分布情况(Using the FDTD method for calculating one-dimensional space, the distribution of plasma collision consider electromagnetic fields)

时延估计算法ETDE，经过测试性能良好，共同学习讨论(The time delay algorithm ETDE)

Rayleigh distribution function of a signal

计算分段三次多项式插值的系数,计算三次样条插值函数的系数组M(Calculating the coefficients of piecewise cubic polynomial interpolation, cubic spline interpolation function calculating the coefficients M)

汽车动力学仿真，m文件，模拟期货侧动力学，经济性(Vehicle dynamics simulation, m file analog futures side dynamics, economy)

根据所给定的函数, 积分区间以及所要求的精度值, 编制Romberg 算法的 Matlab 程序(The basis of the given function, the value of the integration interval and the precision required, the preparation of the Romberg Algorithm in Matlab)