phasesim

MUSIC，多重信号分类法，基于子空间分解，是DOA估计中的经典高分辨方法，初学者必须懂的。(MUSIC, multiple signal classification method based on subspace decomposition, is the classic high-resolution DOA estimation method for beginners to understand.)

说明：  通信信号处理中的HDB3 matalb 仿真一例(Communications signal processing simulation of one case of HDB3 matalb)

各种插值方法的效果比较 线性内插法，内插法，三次多项式内插法，多项式拟合法 将这些内插的结果及原先的采样点画在同一个图 (The effect of various interpolation methods compared linear interpolation, interpolation, cubic polynomial interpolation, polynomial fitting interpolation of these results and the original sample at the same Chart stipple)

地震波信号处理，傅氏变换，震相读取，文件内有使用说明(seismic signal process,fft,phase check)

完整的车牌识别程序，MATLAB，有车牌图(MATLAB)

对接收到得信号进行分离是信号处理过程中经常用到的，然而在完全不知道接受信号先验知识的情况下进行分离就是所谓的盲源分离，此程序就是重多盲源分离算法中比较重要的一种变步长自适应盲源分离算法——EASI(Butt had been received too signal separation is the signal processing is often used, but do not know to accept in full prior knowledge of the signal to separate the case of the so-called blind source separation, this procedure is more emphasis on blind source separation algorithm to compare important type of variable step-size adaptive algorithm for blind source separation- EASI)

(ebook)Practical FIR Filter Design in MATLAB.rar 关于fir滤波器设计的matlab版 很好的资料((Ebook) Practical FIR Filter Design in MATLAB.rar on the fir filter design matlab version of good information)

通过用remez算法设计的滤波器，此matlab程序可以直接运行(Remez algorithm by using the filter, this procedure can run matlab)

digital modulation of the bit sequence, frequency modulation, amplitude modulation, phase shift keying, frequency shift keying

随着人类基因组计划的实施，通过基因组测序，蛋白质序列测定结构解析等实验，分子生物学家提供了大量的有关生物分子的原始数据，需要利用现代计算技术对这些原始数据进行收集、整理、管理以便于检索使用。而为了解释和理解这些数据，还需要对数据进行比对、分析，建立计算模型，进行仿真、预测与验证，因而出现生物信息学，它的出现，极大的促进了分子生物学的发展。(With the human genome project implementation, through genome sequencing, protein sequencing experiments such as structural analysis, molecular biologists to provide a large amount of biological molecules of the original data, the need to use modern technology to these raw data collection, collation and management in order to facilitate retrieval use. To explain and understand these data, and data need to be compared to analysis, model, simulation, prediction and validation, therefore, bioinformatics, and its emergence has greatly promoted the development of molecular biology.)