SHORT_RANGE_RADAR_FMR10

face detection and face recognition system .a test code for reasercher

矩阵右互质分解程序 在鲁棒稳定性中有重要的应用(This function returns the result of double coprime decomposition.)

多旅行商问题matlab程序，可能比较简单，大家交流交流(mtsp matlab)

matlab算法中比较常用的求最短路的Dijkstra算法。(matlab algorithm for the most commonly used short Dijkstra algorithm.)

data converters by maloberti

根据三容水箱对象本身的特性，采用带遗忘因子的辅助变量最小二乘法对其CARIMA模型参数进行了辨识，并基于辨识所得到的参数模型，用广义预测控制方法对三容水箱的液位进行了控制。实验结果表明，采用此模型的广义预测控制算法有良好的控制效果。(According to the three characteristics of the object itself- tank, using an auxiliary variable with forgetting factor least squares model parameters were CARIMA its identification, and identification of the resulting model parameters based on generalized predictive control method for three- tank liquid level control. Experimental results show that this model is generalized predictive control algorithm has good control effect.)

设信号 ，用 对x(t)采样得x(n)，是否会发生频谱混叠？现利用FFT分析其频谱。 1．编程绘制该信号的波形。 2．若令N=16，编程对x(n)做FFT运算，并绘制其幅频特性曲线。 3．令N=1024，编程对x(n)做FFT运算，并绘制其幅频特性曲线。 4．分析2、3的运算结果。 设计调试报告要求： 1．工作原理简述； 2．设计思路； 3．难点及解决方法； 4．设计、调试结果及分析； 5．程序文本及操作步骤。(based signal used to x (t) in the sample x (n), whether there will be a spectrum aliasing? FFT analysis is the use of their spectrum. 1. Programming mapping of the signal waveform. 2. If so N = 16, the programming of x (n) do FFT, and the mapping of its amplitude-frequency characteristic curve. 3. Order N = 1024, the programming of x (n) do FFT, and the mapping of its amplitude-frequency characteristic curve. 4. Analysis of two, three computational results. Design debugging reporting requirements : 1. Principle outlined; 2. Design; 3. Difficulties and solutions; 4. Design, debugging and analysis of results; 5. Text and operating procedures steps.)

压缩感知常用程序oolbox_SparseMRS(CS Toolbox_SparseMRS)

利用hough变换函数求取5条最长的直线方程,并重新绘制这5条曲线——hafu.m(Hough transform function used to obtain five longest straight line equation, and re-draw the five curves- hafu. M)

时间序列小波分析详细步骤,能帮助你快速熟悉matlab小波工具箱(Wavelet analysis of time series detailed steps that can help you quickly familiar with matlab wavelet toolbox)