d_mnm

Aplication for Matlab, for a problem using SVM

MATLAB 算法大全，找到的比较好的学习资料(MATLAB algorithms Daquan, found a better learning materials)

说明：  捷联惯导 四元数法 进行导航姿态解算 程序内有详细注解(SINS quaternion attitude solver for navigation with detailed comments)

简单的介绍什么是深度学习、深度学习的应用场景等基础知识，帮助我们快速入门该领域(Briefly introduce what is the basic knowledge of deep learning, deep learning application scenarios, and help us quickly get started in this field.)

说明：  用matlab编写的布谷鸟算法，一种智能算法来解决无约束优化问题(The cuckoo algorithm written in matlab, an intelligent algorithm to solve the unconstrained optimization problem)

通信系统中智能天线的自适应波束成形的功能实现算法(Communication system in smart antenna adaptive beamforming algorithm of function )

录制自己的一段语音，时间控制在15秒到30秒左右；利用wavread函数对自己的语音进行采样，记住采样频率。 （1）画出原始语音信号的时域波形，而后以1秒为间隔，求出每秒数据的功率谱。 （2）根据语音信号特点，分别设计FIR及IIR滤波器，分别画出滤波器幅频和相频特性曲线。用设计的滤波器对信号滤波，画出滤波后时域波形。用sound函数回放语音信号。 （3）求出特征频段语音信号随时间变化的曲线（每间隔0.05秒求一次功率谱）。 (Record your own voice for some time (15 seconds to 30 seconds) use wavread function of the voice samples, remember the sampling frequency. (1) Draw the original speech signal in time domain waveform, and then to 1 second intervals, the data obtained power spectrum per second. (2) According to the voice signal characteristics, FIR and IIR filters were designed, namely to draw the amplitude and phase frequency characteristic curve. With the design of the filters on the signal filtering, to draw the filtered time-domain waveform. Playback with sound function of the speech signal. (3) Find the characteristic band speech signal curve over time (0.05 seconds intervals seeking a power spectrum.))

本文件是比较LMS与LSL滤波器的参数的收敛速度(this document is compared with the LMS LSL filter parameters of the convergence rate)

matlab时间序列分析，是进行matlab学习与研究进行的很好的东西，适合初学者学习(matlab time series analysis, is a good thing matlab learning and research, for beginners to learn)

水印的嵌入，在图象中嵌入水印，以提高安全性与可靠性(Embedded watermark, the watermark embedded in the images to enhance the security and reliability)