matlab16QAM

Plane Stress with body and point loads, T3 triangle XY COORDINATES CLOSED FORM INTEGRALS Change E_e to get Plane Strain

对已经调制的信号进行相干解调，然后观察频域特性(The modulated signal for coherent demodulation, and then observe the frequency domain characteristics)

数字中频正交解调的matlab仿真程序，简单带通信号的正交解调实现(Digital IF quadrature demodulation matlab simulation program, a simple bandpass signal quadrature demodulator to achieve)

利用meanshift1算法实现视屏目标的跟踪，包含全套程序，并配有示例视屏。(Meanshift1 algorithm to track the use of screen targets, including a full program, and with a sample screen.)

完整的二维非线性共轭梯度反演源代码，作者是Mackie 和Rodi。(Complete two-dimensional nonlinear conjugate gradient inversion source code, the author is Mackie and Rodi.)

watterson信道matlab仿真,瑞利衰落。。。。(This example shows how to simulate High-Frequency (HF) ionospheric channels, based on the models described in Recommendation ITU-R F.1487. In particular, it shows how to simulate the general Watterson channel model, and other simplified channel models used in the quantitative testing of HF modems. It makes use of the Rayleigh multipath fading channel object and the Gaussian and bi-Gaussian Doppler structures from Communications System Toolbox.)

在静态电压稳定，系统安全运行以及系统潮流约束下，达到网损最小的目标，采用内点法求解(In the static voltage stability, safe operation and system flow constraints, losses reach a minimum target, using the interior point method)

美国76‘标准大气层模型，包括压力，音速、大气密度等特征(United States 76 standard atmospheric model, including the pressure, the speed of sound, density and other characteristics of the atmosphere)

介绍了快速Fourier变换算法(FFT)的核心思想及其算法描述,并用Matlab程序设计语言实现了FFT算法.最后,举例说明用FFT算法计算复函数f(x)的插值函数(Introduced the fast Fourier transform (FFT) algorithm and its core idea of ​ ​ the algorithm description and using Matlab programming language to implement the FFT algorithm. Finally, an example using the FFT algorithm to calculate complex function f (x) is the interpolation function)

卡尔曼滤波算法的一个例子，注释详尽，训练测试分开编写，带有详尽数据，可以用来深刻理解kalman算法(Kalman filter algorithm examples, detailed notes, training tests prepared separately, with detailed data that can be used to a deep understanding of kalman algorithm)