mylib

功率谱估计AR和经典普估计，以及平滑的周期图估计，并对其优化。。(AR power spectrum estimation and classical general estimation, and smoothing of the periodogram estimate, and its optimization. .)

无线传感器网络的SEP、LEACH、HEED代码集合(Wireless sensor networks SEP, LEACH, HEED code set)

对连续语音信号进行分帧的matlab程序(of continuous speech signal-frame Matlab procedures)

说明：  这个程序主要用于matlab的一个函数的用于误差分析，是针对一个特定函数而编写的(This procedure is mainly used for a function matlab error analysis, is written for a specific function of)

说明：  这是差分算法的简单实现，里面的代码比较全，可以参考。(This is a simple implementation of a differential algorithm, which the code is complete, you can reference.)

基于多智能体的一致性算法，包括连续，和离散的一致性算法。(Consistency algorithm based on multi-agent, including continuous, and the consistency of the discrete algorithm.)

模拟FM信号的解调子程序，包括下变频、A/D采样、正交解调，最后输出基带信号。(Subroutine analog FM demodulation signal, comprising down-conversion, A/D sampling, orthogonal demodulation, and finally outputs a baseband signal.)

一种基于《The Discrete Fractional Cosine and Sine Transforms》分数阶傅立叶变换程序(Fractional fourier transform based on <<The Discrete Fractional Cosine and Sine Transforms>>)

与其它高级语言相比较，MATLAB具有独特的优势：(1) MATLAB是一种跨平台的数学语言。(2) MATLAB是一种超高级语言。MATLAB平台本身是用C语言写成的，所以在编程效率，程序的可读性、可靠性和可移植性上远远超过了常规的高级语言。(3) MATLAB语法简单，编程风格接近数学语言描述，是数学算法开发和验证的最佳工具。(4) MATLAB计算精度很高。与其它语言相比，MATLAB对计算机内存、硬盘空间的要求也是比较高的。(Compared with other high-level languages​ ​ , MATLAB has unique advantages: (1) MATLAB is a cross-platform language of mathematics. (2) MATLAB is a super-high-level language. MATLAB platform itself is written in C, so the programming efficiency, readability, reliability and portability far more than the regular high-level language. (3) MATLAB syntax is simple, close to the mathematical language to describe the style of programming is a mathematical algorithm development and validation of the best tools. (4) MATLAB computing high accuracy. Compared with other languages​ ​ , MATLAB computer memory, disk space requirements are relatively high.)

说明：  小波分解后的能量谱代码，通过计算每一节点能量构造小波能量谱(The energy spectrum code after wavelet decomposition is used to construct the wavelet energy spectrum by calculating the energy of each node)