DLSDJDS32

说明：  实现信号的功率谱估计，AR,MUSIC,FFT,周期图法(Achieve signal power spectrum estimation, AR, MUSIC, FFT, periodogram)

精通matlab图像处理的配套光盘下，内有程序代码(Proficient in matlab under the matching discs Image Processing)

复合形优化算法复合形优化算法复合形优化算法(The complex optimization algorithm)

GPS数据捕获matlab源代码，用于对接收到的GPS数据进行捕获运算。(GPS data capture matlab source code for the received GPS data capture operations.)

FIR 底通和带通滤波器和IIR 底通和带通滤波器，多姿态，多角度，有不同光照,抑制载波型差分相位调制，这个有中文注释，看得明白，均值便宜跟踪的示例，使用大量的有限元法求解偏微分方程，感应双馈发电机系统的仿真，包含了阵列信号处理的常见算法。 ( Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Much posture, multi-angle, have different light, Suppressed carrier type differential phase modulation, The Chinese have a comment, understand it, Example tracking mean cheap, Using a large number of finite element method to solve partial differential equations, Simulation of doubly fed induction generator system, Contains a common array signal processing algorithm. )

说明：  无人驾驶汽车运动控制分为纵向控制和横向控制。纵向控制是指通过对油门和制动的协调，实现对期望车速的精确跟随。横向控制实现无人驾驶汽车的路径跟踪。其目的是在保证车辆操纵稳定性的前提下，不仅使车辆精确跟踪期望道路，同时使车辆具有良好的动力性和乘坐舒适性。(The motion control of driverless cars is divided into vertical control and lateral control. Longitudinal control refers to the precise follow-up of the desired speed by coordinating the throttle and brake. Lateral control enables path tracking of driverless cars. The purpose is to ensure that the vehicle accurately tracks the desired road while ensuring the stability of the vehicle, while at the same time making the vehicle have good power and ride comfort.)

matlab仿真残差的方差估计模型的阶次(matlab Autocorrelation of residuals)

Affine Transformation

对接收到得信号进行分离是信号处理过程中经常用到的，然而在完全不知道接受信号先验知识的情况下进行分离就是所谓的盲源分离，此程序就是重多盲源分离算法中比较重要的一种变步长自适应盲源分离算法——EASI(Butt had been received too signal separation is the signal processing is often used, but do not know to accept in full prior knowledge of the signal to separate the case of the so-called blind source separation, this procedure is more emphasis on blind source separation algorithm to compare important type of variable step-size adaptive algorithm for blind source separation- EASI)

MATLAB finite element code II