IPToolbox

matlab绘图命令，对大家的matlab学习具有很大的帮助，新手必读(matlab drawing commands, matlab for everyone to learn a great help, the novice must read)

该程序实现了基于小波模极大值去噪算法，并有效的去除了信号中的脉冲噪声。(The program achieved a de-noising based on wavelet modulus maxima algorithm, and effectively removes the signal of the impulse noise.)

说明：  已经编好的关于函数逼近的常用MATLAB 算法(Approximation)

commande vectorielle d un moteur asynchrone sans capteur de vitesse

检测直线，通过hough变换来检测，可以方便快捷，hough变换(hough transilation)

mimo-ofdm系统中产生相关mimo衰落信道(produce relevant mimo mimo-ofdm fading channel system)

用csp对脑电信号就行特征提取的matlab代码(EEG with csp line feature extraction matlab code)

这是一个利用MATLAB6.5进行航迹跟踪的程序序，采用了最小二线性估计的方法来进行跟踪。(This is a track used for tracking MATLAB6.5 procedures sequence, using a minimum of two linear estimation methods for tracking.)

很全的中断手册。 INT 00 - CPU-generated - DIVIDE ERROR INT 01 - CPU-generated - SINGLE STEP (80386+) - DEBUGGING EXCEPTIONS INT 02 - external hardware - NON-MASKABLE INTERRUPT INT 03 - CPU-generated - BREAKPOINT INT 04 - CPU-generated - INTO DETECTED OVERFLOW INT 05 - PRINT SCREEN CPU-generated (80186+) - BOUND RANGE EXCEEDED INT 06 - CPU-generated (80286+) - INVALID OPCODE INT 07 - CPU-generated (80286+) - PROCESSOR EXTENSION NOT AVAILABLE INT 08 - IRQ0 - SYSTEM TIMER CPU-generated (80286+) . . .(Very wide manual interruption. INT 00- CPU-generated- DIVIDE ERRORINT 01- CPU-generated- SINGLE STEP (80386+)- DEBUGGING EXCEPTIONSINT 02- external hardware- NON-MASKABLE INTERRUPTINT 03- CPU-generated- BREAKPOINTINT 04- CPU-generated- INTO DETECTED OVERFLOWINT 05- PRINT SCREEN CPU-generated (80186+)- BOUND RANGE EXCEEDEDINT 06- CPU-generated (80286+)- INVALID OPCODEINT 07- CPU-generated (80286+)- PROCESSOR EXTENSION NOT AVAILABLEINT 08- IRQ0- SYSTEM TIMER CPU-generated ( 802862B !)...)

Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a study on its performance using four nonlinear functions adopted as a benchmark by many researchers in this area. In PSO, each particle moves in the search space with a velocity according to its own previous best solution and its group’s previous best solution. The dimension of the search space can be any positive integer.