MATLAB

关于惯性导航的说明，深入浅出，37页，出自剑桥大学(very good introduction on inertial navigation system)

遗传算法解决5种多旅行商问题（mtsp）的matlab程序 分别为以下5中情况： 1.从不同起点出发回到起点（固定旅行商数量） 2.从不同起点出发回到起点（旅行商数量根据计算可变） 3.从同一起点出发回到起点 4.从同一起点出发不会到起点 5.从同一起点出发回到同一终点（与起点不同）(5 kinds of genetic algorithms to solve multiple traveling salesman problem (mtsp) matlab program 5, respectively, the following situations: 1. Back to the starting point a different starting point (TSP fixed amount) 2. Back to the starting point a different starting point (TSP amount calculated variable) 3. Starting the same starting point back to the beginning 4. Starting the same starting point to the starting point is not 5. Starting the same starting point back to the same end point (with different starting points))

matlab code for GA SVM

说明：  首先，建立两个模拟信号的数学模型 有用信号 干扰信号。两个信号的中心频率、信号带宽等参数由学生自己选定，要求两个信号的频谱不重叠 分别画出三个模拟信号的时域波形和频谱图；然后，根据x_a (t)的中心频率和带宽，按照奈奎斯特采样定理选择采样频率fs，分别对信号s_a1 (t)、s_a2 (t)、x_a (t)进行时域采样，得到离散信号s_1 (n)、s_2 (n)、x(n)。利用FFT算法分析离散信号的频谱，分别画出三个离散信号的时域波形和频谱图； 接着，设计数字滤波器H(z)，要求该滤波器对干扰信号s_2 (n)的衰减大于40dB。提出滤波器的设计指标，并设计滤波器，给出滤波器的设计结果，绘制滤波器的幅频特性和相频特性曲线，验证滤波器的设计结果是否达到设计指标要求；此外，选择实现数字滤波器H(z)的结构，画出滤波器结构信号流图；然后，将合成信号x(n)输入数字滤波器H(z)，按照所选择的滤波器结构，设计计算机程序计算滤波器的输出响应y(n)，画出y(n)的时域波形和频谱图；(the synthetic signal x (n) is input into the digital filter H (z). According to the selected filter structure, a computer program is designed to calculate the output response y (n) of the filter, and the time-domain waveform and spectrum diagram of Y (n) are drawn)

Interpolation routines in matlab

说明：  数字减影增强处理血管造影图像，可以处理眼底视网膜DSA图像(Digital subtraction angiography image enhancement processing, can handle the retinal image DSA)

基于matlab实现sift描述符程序，经测试可用，效果有待提高！(achieve sift descriptor， program has been tested and is available, the effect needs to be improved!)

说明：  针对低信噪比环境下基于能零比的端点检测方法准确率低的问题,提出了一种结合谱减法和短时零熵法的端点检测方法。首先通过功率谱减法对带噪语音进行降噪处理,然后结合短时平均过零率特征与谱熵特征,构造出一种新的语音参数,即短时零熵,最后运用双门限算法进行端点检测。实验结果表明该方法在复杂噪声环境下具有良好的端点检测性能,降低了检测的误判率。(To solve the problem of low accuracy of endpoint detection method based on energy zero ratio in low SNR environment, an endpoint detection method combining spectral subtraction and Short-term zero entropy method is proposed. Firstly, the noise is reduced by power spectrum subtraction, then a new speech parameter, short-time zero entropy, is constructed by combining the short-time average zero crossing rate and spectral entropy. Finally, the double threshold algorithm is used for endpoint detection. The experimental results show that this method has good performance of endpoint detection in complex noise environment, and reduces the rate of detection error.)

组合AVI mov=avifile( basketball3.avi , fps ,25) (Portfolio AVImov = avifile (basketball3.avi, fps, 25))

prediction of time series