back-prob-code

M/M/1单服务台派对系统，（用事件调度法实现离散事件系统仿真） 顾客到达模到达时间间隔和顾客服务时间均服从负指数分布，单服务台系统，按照单队排队，按FIFO方式服务。考察服务n个顾客后的顾客平均队长及平均排队等待时间(M/M/1 single desk party system (with the event scheduling system for discrete event simulation) model to reach customers arrival time and customer service have a negative exponential distribution, single-desk system, in accordance with the single-team line up, according to FIFO way service. N a customer service inspection after the average length and average customer waiting time)

非线性规划解决在道路拥挤收费下的双模式路网用户平衡问题(Nonlinear Programming solve dual-mode network users to balance road congestion pricing under)

psk ve qam nedir ne iş e yarar

<数字通信系统的SystemView仿真与分析>例子程序(<Digital Communication System Simulation and Analysis SystemView> examples of procedures)

A Hopfield network is a form of recurrent artificial neural network invented by John Hopfield in 1982. Hopfield nets serve as content-addressable memory systems with binary threshold nodes. They are guaranteed to converge to a local minimum, but convergence to a false pattern (wrong local minimum) rather than the stored pattern (expected local minimum) can occur. Hopfield networks also provide a model for understanding human memory.

基于IMM多模型结构的带自适应渐消因子及衰减因子的无忌卡尔曼滤波器。 适用于非线性、模型不准确、噪声不确定情况下滤波(IMM multi-band adaptive model structure based on fading factor and the attenuation factor of the wild and the Kalman filter. Applies to non-linear model is not accurate, noise filtering uncertainty)

卡尔曼滤波的完整C++源代码，非常全，内含matlab相关的程序，使用时请结合具体状态方程。(Kalman filtering the complete source code, very full.)

We prop ose d a simple relaxe d optimizatio n problem for finding the maxim um margin s ep­ ar ator when some of the examples may b e misclassified

运用ode45求解微分方程，并用matlab做出其图形(Use ode45 to solve differential equations, and make its graphics with matlab)

DCT and Image Compression In the JPEG image compression algorithm, the input image is divided into 8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each block. The DCT coefficients are then quantized, coded, and transmitted. The JPEG receiver (or JPEG file reader) decodes the quantized DCT coefficients, computes the inverse two-dimensional DCT of each block, and then puts the blocks back together into a single image. For typical images, many of the DCT coefficients have values close to zero these coefficients can be discarded without seriously affecting the quality of the reconstructed image. The example code below computes the two-dimensional DCT of 8-by-8 blocks in the input image, discards (sets to zero) all but 10 of the 64 DCT coefficients in each block, and then reconstructs the image using the two-dimensional inverse DCT of each block. The transform matrix computation method is used.