Dijkstra

this file is contained the tensor toolbox for matlab platform.

说明：  采用RS极重标差分析法得到HURST指数。参数sequence为输入的时间序列。(RS heavy use of standard deviation analysis by HURST index. Parameter sequence for the input time series.)

利用Kalman滤波器通过测量信号估计x(n)的波形(Using Kalman filter estimates by measuring the signal x (n) waveform)

说明：  OQPSK的Matlab/Simulink调制解调仿真系统，包括匹配滤波，载波恢复，定时恢复等重要模块，可以观察眼图，仿真误码率，帮助理解OQPSK系统(OQPSK Matlab/Simulink simulation system modulation and demodulation, including matching filter, Carrier Recovery, timing recovery and other important module, we can observe the eye, simulation BER help understand OQPSK system)

自己初学matlab，编写的一些小程序，希望对初学者有帮助。(Their novice matlab, small programs written in the hope that helpful for beginners.)

说明：  该函数提供了一种时变维纳滤波器的实现。这种维纳滤波器可以处理非平稳信号。 在给定噪声信号和参考信号的情况下，Wiener滤波器可以应用于噪声信号以估计与参考信号相干的贡献。(This function provides an implementation of a time-varying Wiener filter. This kind of Wiener filter can deal with non-stationary signals. Given a noisy signal and a reference signal, the Wiener filter can be applied to the noisy signal for estimating the contribution coherent with the reference signal.)

lms算法的MATLAB仿真，通俗易懂，非常适合初学者(MATLAB simulation of the lms algorithm, user-friendly, very suitable for beginners)

说明：  一個簡單好用的 fuse mount 程式. 你必需先安裝libfuse才可使用。 使用方法： fuse mnt_point [options] source_dir(a simple and easy fuse mount, but you need to install libfuse. usage: fuse mnt_point [options] source_dir)

PSK系统半解析仿真 matlab符号间干扰ISI与误码率的关系 与Eb/No的对应关系(Correspondence between PSK system semi-analytical simulation matlab inter-symbol interference ISI and BER with Eb/No)

本书是“MATLAB应用技术”系列丛书之一，以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分，第1部分着重介绍了小波理论基础，包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等；第2部分重点说明了小波分析工具箱的详细使用方法，包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩，以及最新的信号和图像的提升小波变换等内容；第3部分主要介绍了小波工具箱的应用基础，以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。(This book is "MATLAB application technology" Series on one of the latest MATLAB Wavelet toolbox in the Wavelet Toolbox 3.0 version of the basis. The book is divided into three parts, Part 1 focuses on the theory of wavelet basis, including basic knowledge of wavelets, continuous wavelet transform, discrete wavelet transform, multiresolution analysis and orthogonal wavelet transform, wavelet transform and multirate filter banks, 2-dimensional wavelet transform and image processing and the basic principles of wavelet packets, etc. Part 2 highlights the detailed use of wavelet analysis toolbox methods, including graphical user interface, wavelet generic function, one-dimensional wavelet transform MATLAB realization of two-dimensional wavelet transform of the MATLAB implementation of the MATLAB implementation of wavelet packet transform, signal and image noise reduction and compression, and the latest signal and image enhancement of wavelet transform content Part 3 introduces the wavele)