Will perform 3D Gaussian quadrature over a user-defined volume. The volume is defined by the user with function definitions entered in the appropriate spaces provided on the GUI. The user can change the number of Gauss points to use.
Function inputs need not accept vector args.
16點FFT VHDL源程序，The xFFT16 fast Fourier transform (FFT) Core computes a 16-point complex FFT. The input data
is a vector of 16 complex values represented as 16-bit 2’s complement numbers – 16-bits for
each of the real and imaginary component of a datum.
These instances, whenmapped to an N-dimensional space, represent a core set that can be
used to construct an approximation to theminimumenclosing ball. Solving the SVMlearning
problem on these core sets can produce a good approximation solution in very fast speed.
For example, the core-vector machine [81] thus produced can learn an SVM for millions of
data in seconds.
The ISD51_Demo project for the MSC1200 shows how to use the ISD51
In-System-Debugger with flash breakpoints or hardware breakpoints.
By default, it is configured for flash breakpoints which allow you
to set real-time breakpoints in your software. Using Flash breakpoints
has also the benefit that no special handing for the shared interrupt
vector is required, since the hardware break registers of the MSC1200
are not used at all.
This software is a Matlab implementation of restricted sampling from Gaussian distribution, and sample x (column vector) from N(x_mu, x_var), restricted in x_min<=x<=x_max.
Description The MUSIC algorithm, proposed by Schmidt, first estimates a basis for the noise subspace and then determines the peaks the associated angles provide the DOA estimates.
The MATLAB code for the MUSIC algorithm is sampled by creating an array of steering vectors corresponding to the angles in the vector angles.
本文檔介紹了如何使用各種內嵌工具，函數和其他一些小技巧來加強使用matlab的速度和效率，是廣大愛好者必讀的文檔。具體內容請參閱文檔。
Learn how to use the Profiler tool, vectorized functions, and other tricks to writing efficient MATLAB code. This article includes how to convert any array into a column vector, bounding a value without if statements, and repeating/tiling a vector without repmat.
Contents:
* The Profiler
* Array Preallocation
* JIT Acceleration
* Vectorization
* Inlining Simple Functions
* Referencing Operations
* Numerical Integration
* Signal Processing
* Miscellaneous Tricks
