zuixuanminzufeng

用matlab实现二维情况下TM波的传播仿真，带有PML边界.很直观的！(realize the propogation of electromagnetic in TM mode under 2-D situation，with respect to the PML ABC.)

这是一个超宽带的源码， 不仅有使用说明还有论文参考(This is a source of UWB is not only an indication as to the use of reference papers)

Ashrae模型 太阳辐射强度预测模型 任何时间和地点(Ashrae model predictive models of solar radiation intensity at any time and place)

毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了hjcWjN算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 TEOYkcT， 3 测试 4， 输出结果。 (Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combining hjcWjN algorithms. In the case of a given temp.wav audio file, voice different people different lengths of time were identified. Real-time recognition and text-independent speaker verification automatically. Use steps include: 1 training, 2 TEOYkcT , 3 test 4, the output result. )

雷达或移动通信中的阵列信号处理程序，子空间MUSIC算法，MVDR算法，强相关信号的分离演示等等。(Radar or mobile communication array signal processing, subspace MUSIC algorithm, MVDR algorithm, strong correlation signals seperation ,and so on.)

ask仿真电路 调制解调 所有性能参数都有 全面深入了解ask的产生(ask the circuit simulation)

Matlab中提供了一种快速实现多项式拟合的方法函数polyfit()函数， 其格式：p=polyfit(x,y,n)其中x，y为样本向量，n为拟合的多项式的项数。下面拟f(x)=sinx+x,在区间【-3,3】上以0.5为间隔进行拟合。(Matlab provides a fast way to achieve polynomial fitting function polyfit () function, The format: p = polyfit (x, y, n) where x, y as the sample vector, n is the number of items of polynomial fitting. The following proposed f (x) = sinx+ x, the interval-3,3】 【intervals on the order of 0.5 to fit.)

Capacitive digital sensor for relative humidity and temperature(0 to 100 relative humidity range  Supply voltage: 1.7 to 3.6 V  Low power consumption: 2 μA @ 1 Hz ODR  Selectable ODR 1 Hz to 12.5 Hz  High rH sensitivity: 0.004 rH/LSB  Humidity accuracy: ± 4.5 rH, 20 to+80 rH  Temperature accuracy: ± 0.5 °C,15 to+40 °C  Embedded 16-bit ADC  16-bit humidity and temperature output data  SPI and I2C interfaces)

有向无环图支持向量(DAG-SVMS)多类分类方法,是一种新的多类分类方法。该方法采用了最小超球体类包含作为层次分类依据。试验结果表明,采用该方法进行多类分类,跟已有的分类方法相比有更高的分类精度。 (Directed acyclic graph support vector (DAG-SVMS) multi-category classification methods, is a new multi-category classification methods. The method uses the smallest category of super-sphere that contains the level of classification as a basis. The experimental results show that using the method of multiclass classification with the classification method has been compared to a higher classification accuracy.)

说明：  matlab程序计算四阶循环累积量，，输入两个参数，返回4个(matlab program to calculate fourth-order cyclic cumulant)