matlablowpass

复合形优化算法的VC2005环境下的实现实例，是本人一次研究生期末作业，附带详细论文说明。(Optimization of complex environment to achieve VC2005 example, is a graduate student at the end of my work, with a detailed description papers.)

说明：  把I、Q 两路信号分别作FFT ,找出频域内信号的幅度,即可算得两路分量的幅度一 ％致性 把I、Q两路信号合成一个复数信号,作FFT ,对得到的频谱求镜像抑制比。(The I, Q signals, respectively, for the two FFT, to identify the range of frequency domain signal can be considered two-way range of 1 weight of the letter I, Q synthesis of two-way signal a plural signal for FFT, to obtain the spectrum for image rejection ratio.)

程序是基于matlab的瑞利衰落信道下的16PSK调制(Matlab program is based on the Rayleigh fading channel modulation under 16PSK)

MATLAB调用FEKO计算电场，可更改参数，读取计算结果(MATLAB to call FEKO to calculate the electric field.It can change the parameters and read the calculated results)

In linear algebra, Gaussian elimination (also known as row reduction) is an algorithm for solving systems of linear equations. It is usually understood as a sequence of operations performed on the associated matrix of coefficients. This method can also be used to find the rank of a matrix, to calculate the determinant of a matrix, and to calculate the inverse of an invertible square matrix. The method is named after Carl Friedrich Gauss, although it was known to Chinese mathematicians as early as 179 AD (see History section).

Wireless Sensor Networks WSNs Modified LEACH P=0.1

系统辨识课程实验所写的程序。使用递推最小二乘估计辨识系统参数。输出系统参数辨识结果以及辨识精度。程序可以直接运行。(I wrote this program in my system identification course experiment. Using the recursive least squares estimation identification of system parameters. Output system parameter identification result and precision. The program can be run directly. )

好用的matlab实现凸优化工具包，适用于压缩感知重构过程(Easy to use matlab to achieve a convex optimization tool kit for compressed sensing reconstruction process)

该书籍介绍了很好的统计学习方法，能为机器学习和数据挖掘的爱好者提供很好的理论依据。(The book describes the good statistical learning method that can provide a good theoretical basis for machine learning and data mining enthusiasts.)

A speech signal filterbank, using melscale frequency and framebanking.( 1. For speech signal can be represented as a discrete sequence of frames (or feature vectors) that can be used as the input to a speech recogniser. Important ideas and techniques that are used in the assignment are the design of a (Mel frequency scale) audio filterbank, , windowing of a continuous audio signal, spectrum analysis of the signal, filtering as multiplication in the frequency domain, the visual representation of a speech signal as a spectrogram, appreciation of the acoustic variability in real speech utterances. 2. To gain a deeper knowledge of the application of MATLAB programming to audio signal processing. 3. To gain practice in the art of writing a formal report: structure, content, style, use of diagrams, presentation etc. etc. )