examples

说明：  学习C调用Mathematica内核函数的一个例子,包括计算和图形接口.(Learning C calling Mathematica kernel functions with examples, including computing and graphics interfaces.)

Determines what changes you should make to the signal during a psychoacoustic adaptive track

calculating penalty factor for slack bus

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.

控制台程序实现的gpc广义预测控制程序源代码(Console program gpc Generalized Predictive Control of source code)

利用matlab编程实现音乐义勇军进行曲的演奏，已保存为m-文件，可直接运行(Using matlab programming Anthem playing music, saved for the m-file, can be directly run)

This question also will be about 1-D Kalman filters, but replacing the Bayesian measurement update with the prediction step of Kalman filters

说明：  最小熵解卷积，通过解卷积运算降噪，且能实现故障特征分离 资源下载(Minimum entropy deconvolution, noise reduction by deconvolution, and fault feature separation Resource download)

Frame difference is arguably the simplest form of background subtraction. The current frame is simply subtracted from the previous frame, and if the difference in pixel values for a given pixel is greater than a threshold Ts, the pixel is considered part of the foreground.

说明：  鉴于想在对于SVM的应用已经很广泛，我在这里给大家几个关于此的论文，以供大家在学习的时候做以参考！(View of the wish for the application of SVM has been very wide, and I give you here some of the papers for you to do when learning to reference!)