Face-Capture

雷达系统7------计算雷达系统中的CNR(Radar System 7------ calculate the CNR of the radar system)

MATLAB PROGRAM TO CONVERT STATE SPACE MODEL TO TF AND VICE VERSA

采用matlab求解矩阵的逆.本程序采用完全的c语言格式在matlab平台下编制(Using matlab to solve the inverse matrix. This procedure completely the c language format in the preparation of matlab platform)

由MATLAB生成的PWM的源代码，由模型搭建，输出频率50HZ，频率50HZ，芯片2812(PWM generated by the MATLAB source code, built by the model, the output frequency of 50HZ, frequency 50HZ, Chip 2812)

自适应GPC算法，当被控对象参数未知或慢时变时，采用参数估计算法，在线估计出被控对象的参数，然后用参数估计值代替真实值进行控制律的推导。(Adaptive GPC algorithm, when the charged object is unknown or slowly time-varying parameters, the use of parameter estimation algorithms, on-line estimate the parameters of the controlled object, then use the parameter estimates instead of real value to the control law derivation.)

用于混沌开发。混沌方式识别的一个matlab程序。十分好用。可以准确预测数据(a very good software which can make more strong and more popular. more good)

考虑L的三个不同值：L＝256（3个数据段），L＝128(7个数据段)和L=64（15个数据段）。各自的谱估计图如上图所示。可以明显的看到，加窗明显的减小了频谱上的假谱峰，但也更加进一步平滑了谱峰。所以，对于L＝64的情况，在ω＝0.8π的谱线可以很确定的辨认，但是那两个靠近的谱峰不容易区分。对于L＝128的情况，这种情况提供了在分离和检测间最好的均衡。当然，对于在L＝256时的情况，效果是更好的，能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外，还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等，在功率谱估计上也能取得较好的结果。(consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power)

haar wavelet source code implemented by matlab

This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others (see references for more info). Because of some architectural features of convolutional networks, such as weight sharing it is imposible to implement it using Matlab Neural Network Toolbox without it s source modifications.

ABC_FDTD_Die(T) Implements simulation of a Gaussian Pulse over T time steps. ABC are for free space. If boundaries are in the Dielectric medium then the ABC fail. Dielectric medium begin and end can be specified with the code(ABC_FDTD_Die (T) Implements simulation of a Gaussian Pulse over T time steps. ABC are for free space. If boundaries are in the Dielectric medium then the ABC fail. Dielectric medium begin and end can be specified with the code)