tuxiang

说明：  clllc开关电源，pi闭环控制，参数已经设置好，具体计算有相关论文，2018a版本的matlab(Clllc switching power supply, PI closed-loop control, parameters have been set, specific calculation has related papers, 2018a version of MATLAB)

SNRZ，双向码，密勒码三种码型的功率谱分布图(SNRZ, two-way code, Miller code three kinds of code-type power spectrum distribution)

说明：  ml detection mimo good

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)

This program is written to control two inverters MM420 of siemens using PLC s7300

用matlab模拟球形微粒的散射特性。。。。。。。(Simulate the scattering properties of spherical particles)

Interpolation-spline/polynomial interpolation example. Integration-integration using trapezoidal rule (equally spaced data)

Locally-Linear Embedding (LLE)[9] was presented at approximately the same time as Isomap. It has several advantages over Isomap, including faster optimization when implemented to take advantage of sparse matrix algorithms, and better results with many problems. LLE also begins by finding a set of the nearest neighbors of each point. It then computes a set of weights for each point that best describe the point as a linear combination of its neighbors. Finally, it uses an eigenvector-based optimization technique to find the low-dimensional embedding of points, such that each point is still described with the same linear combination of its neighbors. LLE tends to handle non-uniform sample densities poorly because there is no fixed unit to prevent the weights from drifting as various regions differ in sample densities. LLE has no internal model.

基于PN序列的数字直放站中回波抵消matlab实现代码，信号源采用OFDM调制信号，并有详细的注释说明，可以供大家参考借鉴(Digital repeater stations based on PN sequence in echo offset matlab code, signal source using OFDM modulation signal, and a detailed annotation, can for your reference)

盲信号分离(BSS)是指在对彼此独立的源信号混合过程及各源信号本身均未知的情况下，从混合信号中分离出这些源信号的方法。BSS可以用来从多个麦克风混合语音信号中提炼出单个语音信号。本文简要阐述LMS、RLS算法，并通过仿真实验来分析比较这两类方法的性能，并利用此方法对一实际的语音信号进行分离。(Blind Signal Separation (BSS) is defined as independent of each other mixed-signal process and the source of the signal itself are unknown circumstances, from the mixed-signal to isolate the source of these signals. BSS can be used from multiple microphones mixed voice signal to extract a single speech signal. This paper briefly described LMS, RLS algorithm, and through simulation experiments to analyze the comparative performance of these two types of methods and take advantage of this method on a real speech signal separation.)