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Design of self balanced car based on FPGA
4.0
Application background Two wheeled self balanced car is a highly unstable two wheeled robot, is a multi variable, nonlinear, strong coupling system, is a test of a variety of control methods. At the same time, it has a wide application prospect in the military and civil fields due to its small size, flexible movement, and zero turning radius. Because it has both theoretical significance and practical value, the research of two wheeled self balancing car has attracted much attention in the recent ten years. Key Technology Based on the gyroscope and acceleration sensor and the combination of Calman filter and PID control as one of the self balanced car design!!
风行来历
2016-08-23
0
1
IOS2mesh based mesh generation system based on MAT
no vote
Application background In the finite element method, the mesh is a crucial step, mesh size, density and other information directly affects the accuracy of the final results. The mesh is the structure of image grid, get the target node, tetrahedron, triangular surface information. But unfortunately, the market some commercial mesh generation software, such as Amira (mercury systems, Ma, USA), (materialise, NJ, USA) mimics and simpleware (simpleware Ltd., UK), due to limitation of the built-in methods, allows the user to can not adjust the influence of the density of the mesh quality, size and other key factors, and the computational efficiency is generally low. Also these commercial software self-contained, cannot and matlab program used in combination, for scholars engaged in optical molecular imaging produced a lot of inconvenience, so this project based on MATLAB, combined with some open source grid processing tools, for the original data after segmentation, the d
风行来历
2016-08-23
0
1
Fluorescence molecular tomography based on MATLAB
4.5
Application background In order to solve the problem of low resolution and low precision of the image reconstruction, we can combine it with the existing medical imaging method. Such as the combination of MRI and near infrared tomography imaging system, can effectively improve the resolution and accuracy of the reconstructed image. Key Technology The basic idea of the conjugate gradient method, conjugate gradient method is the conjugate and the steepest descent method combined, the gradient structure of known point a set of conjugate direction, and along the direction of the search for the minimum value of the objective function. To make the algorithm have a greater adaptability, this chapter is to reconstruct the search direction, and use one dimensional search method to determine the iteration step. Reduce the computation of the Hessian matrix, greatly reducing the amount of computation, improve the efficiency of the reconstruction. In the proc
风行来历
2016-08-23
1
1
Iterate Tikhonov
no vote
Application background It is mainly used to solve the ill posed problem in some mathematical problems, especially using Tikhonov regularization. Related computing in biomedical, physics and other disciplines. Key Technology The regularization is to minimize the empirical error function, such that the constraint can be interpreted as a priori knowledge (the regularization parameter is equivalent to the prior distribution of parameters). Constraint has a guiding role, optimization error function the tendency to choose to meet the gradients of the constraints to reduce the direction, the final solution tend to l-norm consistent with prior knowledge (such as general a priori, represents the original problem is more likely to be relatively simple, this optimization tendency to generate parameter values scale small solution, corresponds to the general in sparse parameter smoothing solution).
风行来历
2016-08-23
0
1
Edge extraction based on Wavelet
no vote
Application background A simple and effective method for edge detection of medical images!! Key Technology The classical method of signal de-noising is mainly based on the processing method of frequency domain, in order to filter the form of denoising. It is the method of separating the useful signal and the noise signal in the frequency domain.. However, this method can separate the signal and the noise completely without the overlap of the signal spectrum and the noise spectrum.. But the actual signal spectrum and the noise spectrum are often overlapped, because either Gauss white noise or pulse interference, their spectrum is almost distributed throughout the frequency domain. If the noise smoothing effect is good, the signal will be blurred, the contour is unclear, and the smooth effect of the noise is not good.. In the use of the trade-offs must be weighed between the two to make a reasonable choice. With low pass filter to smooth processing
风行来历
2016-08-23
1
1
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