matlabmatch

BPSK modulation with BER with and without OFDM Here are the files for a OFDM modulation. Where in I have used a BPSK modulation and showed the decrease in BER with OFDM. This project was done as a course project under the Guidance of Dr. Dayalan Kasilingam, Umass Dartmouth. (BER with BPSK modulation with and without O FDM Here are the files for a OFDM modulation. Whe 're in I have used a BPSK modulation and showed the decrease in BER with OFDM. This project was done as a course project under the Guidance of Dr.. Day alan Kasilingam, UMassOnline Dartmouth.)

this program is also another program developed in c++ which calculates robots movements.

MATLAB CODE FOR PYTHON

Control Software Library for HTRC110 and HITAG™ 2

second-order Engquist-Majda ABC in an FDTD program for 2D-TMz.

matlab开发的滤波器有程序 使用简单方便 值需要改几个参数就可以实现对任何信号的滤波 程序中还就如了相关注解 有利于读者理解！(matlab filter developed procedure is simple and convenient to use the value of the need to change a few parameters can be achieved for any signal of the filtering process also, such as the relevant comments in favor of reading!)

雷达中频回波仿真，对脉内起伏进行仿真，含脉内慢起伏和脉内快起伏(Radar IF echo simulation, simulation intrapulse downs, including slow downs and pulse-pulse fluctuations within the fast)

algorithme compression image based DCT and DWT

说明：  实现多尺度熵的算法 多尺度熵（Multiscale entropy, MSE）将样本熵扩展到多个时间尺度，以便在时间尺度不确定时提供额外的观察视角。样本熵的问题在于它没有很好地考虑到时间序列中可能存在的不同时间尺度。为了计算不同时间尺度下信号的复杂性，Costa等人（2002,2005）提出了多尺度熵。(MultiScale Entropy There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise.)

说明：   <小波分析理论与MATLAB 7实现>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。 本书可作为理工科各专业的高年级本科生、研究生学习小波分析的辅助教材，也可作为研究和应用这一领域的科技工作者的参考书。 (err)