Kalman_fil

1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇(1-32 is: graphics application papers 33-66 are: interface design articles 67-84 is: graphics processing chapter 85-100 is: Numerical Analysis Section)

Matlab code for Derivative filter deisgn

粒子群算法是改进后的智能优化算法，它是模拟鸟类觅食的过程的一种优化算法，采用的压缩miu值得粒子群算法(PSO is improved intelligent optimization algorithm, which is a simulation of birds foraging in the process of an optimization algorithm, using the compression miu worth PSO )

Mammography is one of the available techniques for the early detection of masses or abnormalities which is related to breast cancer. Breast Cancer is the uncontrolled of cells in the breast region, which may affect the other parts of the body. The most common abnormalities that might indicate breast cancer are masses and calcifications. Masses appear in a mammogram as fine, granular clusters and also masses will not have sharp boundaries, so often difficult to identify in a raw mammogram. Digital Mammography is one of the best available technologies currently being used for the early detection of breast cancer. Computer Aided Detection System has to be developed for the detection of masses and calcifications in Digital Mammogram, which acts as a secondary tool for the radiologists for diagnosing the breast cancer. In this paper, we have proposed a secondary tool for the radiologists that help them in the segmentation and feature extraction process.

说明：  产生线性调频信号，Matlab仿真实现雷达线性调频信号，并表现出线性调频信号的时域图和幅频、相频图(LFM signal generation, Matlab simulation of radar chirp signal, and the performance of a linear FM signal in time domain and amplitude frequency diagram, phase-frequency diagram)

matlab code for digital signal processing

说明：  its a matlab code for face recognition and windows systtem

denoise and wacelet analysis of signals

说明：  利用GS算法多次迭代，最终将所需要的图片（JPEG格式）转化为对应的计算全息图。(Using the GS algorithm for multiple iterations, the required picture (JPEG format) is finally converted into the corresponding calculation hologram.)

完整的OFDM-matlab仿真程序，希望能帮助大家(simulink)