SVM_luzhenbo

matlab-edu-codes 32 .m files !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

rgb channel sepration...

说明：  采用BP神经网络对电力系统负荷进行预测，预测结果与实际结果的误差较小，可作为电力公司进行优化调度的依据。(BP neural network is used to predict the load of power system. The error between the predicted result and the actual result is small, which can be used as the basis for optimal dispatching of power companies.)

一个详细介绍如何使用Matlab中的Simulink的PPT(A detailed description how to use Matlab in Simulink to PPT)

The Quantum Safety PLC is a Safety-Related System certified according to IEC 61508 by TüV Rheinland Group. It is based on the Quantum family of programmable logic controllers (PLCs).

说明：  利用RcrIJADE差分进化算法提取光伏电池模型的未知参数(extract the unknown parameters of solar cell model using RcrIJADE)

ICA watermarking. Blind, fragile, robust

对语音信号的分析，其中包括语音信号的时域波形和频域波形图。(On the speech signal analysis, including the speech signal time-domain waveform and frequency domain waveform graph. )

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete introductory discussion can be found in [Sorenson70], which also contains some interesting historical narrative.(In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. A very "friendly" introductio n to the general idea of the Kalman filter can be f ound in Chapter 1 of [Maybeck79] while a more complete introductory discussion can be found in [Sorenson70] which also contains some interesting historic al narrative.)

Tutorial on Matlab: Basic Matlab Commands and Syntax (very useful), Enjoy