SB1_110.tar

这是一个压缩奇异值分解算法。该算法将一个矩阵进行奇异值分解。CSVD Compact singular value decomposition(This is a compression algorithm for singular value decomposition. The algorithm is a matrix singular value decomposition. CSVD Compact singular value decomposition)

This set of MATLAB files contain an implementation of the gradient projection algorithms described in the paper "Gradient Projection for Sparse Reconstruction:

三相SPWM整流电路simulink仿真原代码(Three-phase SPWM rectifier circuit simulink simulation source code)

This paper describes the problem of voltage sags and swells and its severe impact on non linear loads or sensitive loads. The dynamic voltage restorer (DVR) has become popular as a cost effective solution for the protection of sensitive loads voltage sags and swells. The control of the compensation voltages in DVR based on dqo algorithm is discussed. It first analyzes the power circuit of a DVR system in order to come up with appropriate control limitations and control targets for the compensation voltage control. The proposed control scheme is simple to design. Simulation results carried out by Matlab/Simulink verify the performance of the proposed method.

apply a lowpass filter to a watermarked audio signal to test the robustness input : vector representing the watermarked audio file output : vector representing the watermarked audio file corrupted by a highpass filter

由磁悬浮小球的状态空间模型计算出其鲁棒控制器，并在simulink模型中对鲁棒控制器的性能进行了验证。(Magnetic levitation ball from the state-space model to calculate the robust controller and in simulink model for robust controller performance is verified.)

Its IEEE paper on Control of An Islanded Distributed Energy Resource Unit with Load Compensating Feed-Forward

基于matlab的巴特沃兹模拟滤波器的设计(Butterworth analog filter design)

一种有效的降维方法的源代码，原始的，可以很方便的改进。(it is easy to understand, monifoid leaning)

将背景音乐（交响乐）中的摩斯电码找出并分离出来(morse_code_sound.wav is a mono (1-channel) 11,025 samples per sec, 16-bits per sample, WAV file. There is a morse code signal within the audio file, you should be able to hear it in the background, but it is not very audible (able to be heard). Write a Matlab program to analyze the wav file and determine the narrow range of frequencies occupied by the morse code sound. Then separate the morse code sound into a separate file and the music into a separate file. Write out the separated morse code and the separated music to separate wav files titled your_name_morse.wav and your_name_music.wav)