HilbertAvgPitch

matlab实现浏览流体数据，欢迎大家一起探讨(matlab fluid data to achieve here, welcome to discuss)

很好的matlab学习资料，由浅到深的解析，附带源码(Matlab good learning materials, from shallow to deep analysis, with source code)

this is coding of dwt in matlab

通信系统设计，数字带通传输系统仿真Matlab代码 1. 比较BPSK与QPSK两种调制方式的误码率和误比特率性能（注意QPSK的误码率不同于误比特率），横坐标为SNR，并与理论曲线比较，分析解释仿真图。 2. 要求使用Matlab/C语言/Matlab-simulink中的任一种工具实现。 3. 代码中每个模块都要有详细注释说明。 (Communications systems design, digital bandpass transmission system simulation Matlab code 1. Comparison of BER QPSK and BPSK modulation methods and bit error rate performance (note QPSK error rate is different bit error rate), the horizontal axis is SNR, and compared with the theoretical curve, analysis and interpretation of simulation map. 2. requires the use of Matlab/C language/Matlab-simulink any one tool to achieve. 3. The code of each module must have a detailed explanatory notes.)

关于谱估计的MATLAB源程序，含各种谱估计的对比(MATLAB source code on the spectrum estimation)

Code implementation of a Kohonen Neural Network that learns a uniform distribution in the unitary circle. It shows the topology preservation map.

针对感应电机扩展卡尔曼滤波器转速估计中难以取得卡尔曼滤波器系统噪声矩阵和测量噪声矩阵最优值的问题，提出了一种基于改进粒子群算法优化的扩展卡尔曼滤波器转速估计方法。算法通过融合遗传算法和粒子群算法的优点，采用可调整的算法模型对粒子群算法进行改进，将改进的粒子群算法对扩展卡尔曼滤波器中的系统噪声矩阵和测量噪声矩阵进行优化处理，将优化后的卡尔曼滤波器应用于感应电机转速估计。( Extended Kalman Filter for induction motor speed estimation problem is difficult to obtain a Kalman filter system noise matrix and the measurement noise matrix optimal value proposed speed estimation method based on improved particle swarm optimization of the extended Kalman filter. By virtue of the genetic algorithm and particle swarm optimization algorithm fusion algorithm using the adjustable model PSO improvements that will improve the PSO extended Kalman filter system noise matrix and the measurement noise matrix optimization process, the optimized Kalman filter is applied to the induction motor speed estimate.)

current-source PWM Rectifier

说明：  matlab软件的使用的基础知识4，关于函数与方程（包括多项式、函数零点、函数极值，最小二乘你和）(matlab software using the basic knowledge of 4, on the function and equations (including polynomials, function zero, extremal functions, least squares and you))

numerical computing matthematics matlab