min_func

学习用MATLAB进行数字信号处理的源码(The source of learning to use MATLAB for digital signal processing )

用matlab工具编程实现快速kmeans算法，对数据进行快速的聚类(matlab kmeans )

目标跟踪是卡尔曼滤波的主要应用领域，通过本作业，进一步加深对卡尔曼滤波算法的理解，了解卡尔曼滤波器算法的基本特点，掌握卡尔曼滤波算法应用研究的基本步骤和方法。 (Kalman filter target tracking is the main application areas, through the operation, and further deepen the understanding of the Kalman filter algorithm to understand the basic characteristics of the Kalman filter algorithm, Kalman filter algorithm applied research to master the basic steps and methods.)

DCT and Image Compression In the JPEG image compression algorithm, the input image is divided into 8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each block. The DCT coefficients are then quantized, coded, and transmitted. The JPEG receiver (or JPEG file reader) decodes the quantized DCT coefficients, computes the inverse two-dimensional DCT of each block, and then puts the blocks back together into a single image. For typical images, many of the DCT coefficients have values close to zero these coefficients can be discarded without seriously affecting the quality of the reconstructed image. The example code below computes the two-dimensional DCT of 8-by-8 blocks in the input image, discards (sets to zero) all but 10 of the 64 DCT coefficients in each block, and then reconstructs the image using the two-dimensional inverse DCT of each block. The transform matrix computation method is used.

说明：  11电平MMC控制方法以及电容均压策略。(11 level MMC control method and capacitor voltage sharing strategy.)

说明：  一种有效的滤波算法，通过比较特定区域内的像素点的邻域均值来进行图像的去噪滤波。(An effective filtering algorithm, by comparing the particular pixel within the region to the neighborhood mean filter for image denoising.)

实现对一个信号源的doa估计，非常有用，对初学者很用帮助(Achieve a signal source doa estimation, very useful)

一系列的matlab音频处理工具，可以求各项音频指标(A series of matlab audio processing tools, and various audio indicators)

基于MATLAB语言的局部增强的程序，供大家参考，适合入门者(MATLAB language based on local enhanced procedures for your reference, suitable for beginners)

很标准的无味卡尔曼滤波，UKF的仿真与用法。描述了两个非线性方程x=0.5 x + (25 * x / (1 + x^2)) + 8 * cos(1.2*(t-1)) y = (x^2 / 20)的UKF的用法。简单实用，有备注。对于卡尔曼滤波初学者很有用。(Very standard unscented Kalman filter, UKF simulation and usage. Describes two nonlinear equations x = 0.5 x+ (25* x/(1+ x ^ 2))+ 8* cos (1.2* (t-1)) y = (x ^ 2/20) of UKF usage. Simple and practical notes. For the Kalman filter useful for beginners.)