matlab

简单的，易懂的卡尔曼滤波程序的matlab实现程序。(Simple, straightforward Kalman filter matlab program implementation process.)

微波滤波器耦合矩阵综合， 1 根据传输零点位置，回波损耗求出耦合矩阵； 2 从S21 S11多项式出发 综合出耦合矩阵； 3 已知传输零点位置，滤波器阶数，回波损耗画出滤波器的S参数，分别以4阶和八阶滤波器为例。(1synthesize coupling matrix by the transmission zeros, return loss 2 synthesize coupling matrix by S21 S11 polynomial 3 draw the S parameters of the filter by transmission zeros, return loss,order of filter, Using 4 order and 8 order filter respectively as an example.)

MULTIMEDIA SIGNAL PROCESSING IMAGE PROCESSING

haarwavelet.it is code for haar wavelet in image prossecing.

matlab设计，有助于学习simulink知识(matlab design knowledge to help learning simulink)

卡尔曼滤波中，前后平移的函数。这是最基本的算法(Before and after kalman filter, the translation function.This is the most basic algorithm)

对OFDM的载波频偏进行估计和补偿，采用ML最大似然估计算法，有不同频偏值和不同信噪比的仿真结果图。(For OFDM carrier frequency offset estimation and compensation, using ML maximum likelihood estimation, have different values and different SNR offset simulation results shown in Fig.)

代码流程包含：规格化，图像分割，图像平滑滤波，图像增强，图像二值化，图像细化，提取特征，指纹识别(The code includes image normalization, image segmentation, image smoothing and filtering, image enhancement, image binaryzation, image thinning, feature extraction, and fingerprint identification.)

说明：  《MATLAB数字信号处理85个实用案例精讲:入门到进阶》特点是主要通过案例说明在数字信号处理基础部分编程中常出现的错误和解决方法。《MATLAB数字信号处理85个实用案例精讲:入门到进阶》适用于数字信号处理的初学者，亦可供高年级本科生、研究生和科研工程技术人员参考。("Matlab Digital Signal Processing 85 Practical Cases: Introductory to Advanced" is characterized by cases that illustrate the errors and solutions that often occur in the basic programming of digital signal processing. "Matlab Digital Signal Processing 85 Practical Cases: Introduction to Advanced" is suitable for beginners in digital signal processing, and can also be used as a reference for senior undergraduates, graduate students, and scientific research and engineering technicians.)

说明：  libsvm的参数寻优程序。针对SVR提供full gridsearch方式的参数寻优，主要用于SVM回归预测(libsvm optimization process parameters. Provide full gridsearch for SVR parameter optimization approach, mainly used for SVM regression prediction)