fsk_ask_psk

Torque estimation of asynchronous motor by measuring voltages and current of the motor.

TDOA无源时差定位Fang算法，matlab源码(Fang Passive TDOA TDOA location algorithm, matlab source code)

本系统主要是设计一个简单的比例放大器，使小车能以指定的速度运动。采用“自下而上”，“分层”建模思想而设计的。主要包括了理论分析与设计、仿真系统的创建、仿真结果、仿真操作说明、结论等五部分。使用Matlab7.1实现(This system is mainly to design a simple proportional amplifier, so the car can be specified speed of movement. " Bottom up" and " layered" modeling idea. Include theoretical analysis and design, the creation of the simulation system, the simulation results, simulation instructions, conclusions of five parts.)

lqr contrô ler for bicyclette modèle

svpwm_MATLAB 仿真,搭建好的SVPWM模块(MATLAN SVPWM)

四元数法求解程序，用于求解姿态方程，实现解算对象姿态更新。(Quaternion method solver for solving attitude equation solver object attitude update.)

一个16Qam预失真处理的程序，实现射频功率放大器的数字预失真(A 16Qam pre-distortion processing program)

包括面积、周长、矩形度、伸长度，基于小波变换的数字水印算法matlab代码，小波包分析提取振动信号中的特征频率。( Including the area, perimeter, rectangular, elongation, Based on wavelet transform digital watermarking algorithm matlab code, Wavelet packet analysis to extract vibration signal characteristic frequency.)

music高阶谱分析算法，用MATLAB实现的压缩传感，包括AHP，因子分析，回归分析，聚类分析，包含了阵列信号处理的常见算法，模拟数据分析处理的过程，含噪脉冲信号进行相关检测,IDW距离反比加权方法。( music higher order spectral analysis algorithm, Using MATLAB compressed sensing, Including AHP, factor analysis, regression analysis, cluster analysis, Contains a common array signal processing algorithm, Analog data analysis processing, Noisy pulse correlation detection signal, IDW inverse distance weighting method.)

说明：  使用MATLAB对MIMO系统进行辨识，其中有各种算法仿真算例，N4SID，针对多变量系统的一种识别算法(MOESP (Multivariable Output-Error State sPace) is a deterministic method to identify linear time invariant systems. The MOESP method developed by M. Verhaegen and P. Dewilde is based on the LQ decomposition of Hankel matrix formed from input-output data, where L is lower triangular and Q is orthogonal. A Singular Value Decomposition (SVD) can be performed on a block from the L (L22) matrix to obtain the system order and the extended observability matrix. From this matrix it is possible to estimate the matrices C and A of state-space model. The final step is to solve overdetermined linear equations using the least-squares method to calculate matrices B and D.)