signalandsystemwithmatlab

工具箱 (数值积分工具箱) matlab 中使用(Kit (Numerical Integration Toolbox) matlab use)

说明：  《结构分析的有限元法与MATLAB程序设计》的源文件(&quot Structural Analysis of the finite element method with MATLAB Programming,&quot the source file)

Script file for computer exercise "BPSK".(Script file for computer exercise "BPSK.")

susan用PML边界条件编写的FDTD三维程序(susan with PML boundary conditions for the preparation of three-dimensional FDTD program)

针对mean shift 跟踪方法中存在的光照变化不稳定问题， 提出了基于梯度特征与彩色 特征相融合的mean shift 跟踪方法。首先分别提取目标的梯度特征和彩色特征，利用多尺度的相似度 计算方法进行特征的匹配，然后通过最大化相似度对目标进行跟踪。通过物体和人体等运动目标的跟 踪，验证了改进的跟踪算法在光照变化情况下的鲁棒性优于原有的算法，显著降低了跟踪位置误差。(The instability of the light changes in the mean shift tracking method, the mean shift tracking method based on gradient features and color characteristics of fusion. First extract gradient features and color features of the target, the similarity calculation method using multi-scale feature matching, and then maximize the similarity of the target track. Through the tracking of objects and people moving target, verify the robustness of the improved tracking algorithm in the case of illumination changes is better than the original algorithm significantly reduces the tracking position error.)

PCM编码,ASK,FAK,DPSK调制与解调(PCM encoding, ASK, FSK, DPSK modulation and demodulation.)

Example of complete coder.

IT IS A DOCCUMENT ABOAT REACTIVE POWER

说明：  果蝇算法性能测试函数，用于对算法优化进行相关测试，代码简洁，并进行了封装(The performance test function is used to test the algorithm optimization. The code is concise and encapsulated.)

Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359(9306):572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer.gov/ncifdaproteomics/ppatterns.asp (Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359 (9306) :572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer. gov/ncifdaproteomics/ppatterns.asp)