SAR

钢管混凝土本构关系的数值计算，在MATLAB环境直接运行，可得到应力—应变曲线。(Numerical calculation of the steel pipe concrete constitutive run directly in MATLAB environment, the stress- strain curve can be obtained.)

顺序表（即向量类），包含创建，插入，删除，查找等功能。(The order of the table (ie vector class), including creation, insert, delete, search and other functions.)

蔡氏混沌电路程序混沌吸引子波形图相平面图的MATLAB源程序(Chua' s chaotic circuit chaotic attractor programs relative to plan the waveform diagram of the MATLAB source code)

ESPRIT算法的经典功率谱估计程序，已运算过，下载即可使用(ESPRIT algorithm is the classic power spectrum estimation procedures have been operational before, you can use to download)

BPSK modulation with BER with and without OFDM Here are the files for a OFDM modulation. Where in I have used a BPSK modulation and showed the decrease in BER with OFDM. This project was done as a course project under the Guidance of Dr. Dayalan Kasilingam, Umass Dartmouth. (BER with BPSK modulation with and without O FDM Here are the files for a OFDM modulation. Whe 're in I have used a BPSK modulation and showed the decrease in BER with OFDM. This project was done as a course project under the Guidance of Dr.. Day alan Kasilingam, UMassOnline Dartmouth.)

Abstract— We propose a simple speech compression algorithm using subband division and ADPCM (Adaptive Differential Pulse Code Modulation) algorithm. Although speech data are stored in a semiconductor memory device, its capacity and the available network capacity are limited. Therefore, it is necessary to compress the data as much as possible. The first is that the reconstructed datum must be understood correctly. Speech signal is compressed with a ratio of 1/4 using the proposed subband division and ADPCM (Adaptive Differential Pulse Code Modulation) algorithm.

关于双缝干涉条纹以及条纹光强度的研究 内含公式推导程序等(Research on the Influence Factors of Young s Double-Slit Interference Experiment)

Matlab的使用手册，对于初学者很有帮助(Matlab' s manual, very helpful for beginners)

This code is for face recognition using PCA

使用一组陀螺实测数据为原始数据，通过时变卡尔曼滤波，得到两组输出滤波图(Use a gyroscope data as raw data, through the time-varying Kalman filtering, the final two output filter figures are obtained)