sa-pso-bybird

svpwm is being implemented using matlab simulation blocks

混沌动力学的平面模型，和对动力学的模型研究以其用户的输入(chaoic reserch ，the model ,and teh input model .)

实数编码遗传算法中常用变异算子的ｍａｔｌａｂ实现及应用，用ｍａｔｌａｂ编写了各种变异算子并进行了比较(Common mutation operators in real coded genetic algorithms matlab implementation and application, various mutation operator was written using MATLAB and compared)

用matlab对图像进行处理的几个源码，傅立叶变换，重建图像，灰度扩展，多种图像增强，滤波。(using Matlab, the image of several source, Fourier transform, image reconstruction, Gray expansion a variety of image enhancement, filtering.)

job shop scheduling problem

牛顿插值法，输入x，y，再输入变量xi，就可以求得yi。(Newton interpolation method, the input x, y, and input variables xi, yi obtained.)

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 !)...)

LabView vi as an example

The source code for LS ESPRIT and TLS ESPRIT - an algorithm for channel parameter estimation.(The source code for LS ESPRIT and TLS ESPRIT- an algorithm for channel parameter estimation.)

When looking at a three-dimensional (3D) specimen through a transmitted brightfield optical microscope, only the part of the specimen contained in the focal plane appears sharp while the remainder looks smooth. The deconvolution task consists in deblurring the observed image in order to recover the original shapes of the object. Although 2D deconvolution softwares are available freely, the 3D consideration gives rise to many problems leading to the impossibility to recover the original images without any assumptions. Moreover some noise is added to the signal, it has been considered as a white Gaussian noise.