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Matlab Code for Poisson Image Reconstruction from Image Gradients

Often it is necessary to add some logical control to a MATLAB algorithm to allow the generated hardware to function correctly in the overall system. This lab exercise will explore how hardware control can be added to a MATLAB algorithm and synthesized using AccelDSP Synthesis.(Often it is necessary to add some logical co ntrol to a MATLAB algorithm to allow the generat ed hardware to function correctly in the overal l system. This lab exercise will explore how har dware control can be added to a MATLAB algorithm and synthesized using AccelDSP Synthesis.)

在阵列信号处理中，信号源个数的估计是一个重要问题，文献和代码给出了基于随机矩阵理论的阵列信号个数的非参检测。(In array signal processing, the estimate of the number of signal source is an important issues, documentation and code give an non-parametric detection of array signal number based on random matrix theory.)

对于不同的检测距离，雷达对应脉冲宽度相对所要求的信噪比SNR曲线。(The different detection distances corresponding to the pulse width of the radar relative to the SNR required for the curve.)

matlab频域积分程序,可计算1次积分，2次积分(Matlab frequency domain integral, can calculate one points, two points)

说明：  荣格库塔法解微分方程组，比matlab自带的ode求解命令更准确，误差更少(Rong-Kutta method for solving differential equations group' s ode to solve than the matlab command comes more accurate, less error)

用matlab编写，用RBF网络，来模拟一个已知函数（阶跃函数）(Written with matlab using RBF network, to simulate a known function (step function))

仿真信号 进行卡尔曼滤波去除噪声 并用KNN算法实现定位(Kalman filter is used to remove noise from simulated signals and KNN algorithm is used to locate them.)

he basic idea of the method of bisection is to start with an initial interval, [a0,b0], that is chosen so that f(a0)f(b0) < 0. (This guarantees that there is at least one root of the function f(x) within the initial interval.) We then iteratively bisect the interval, generating a sequence of intervals [ak,bk] that is guaranteed to converge to a solution to f(x) = 0.

MATSNL is a package of MATLAB M-files for computing wireless sensor node lifetime/power budget and solving optimal node architecture choice problems. It is intended as an analysis and simulation tool for researchers and educators that are easy to use and modify. MATSNL is designed to give the rough power/ lifetime predictions based on node and application specifications while giving useful insight on platform design for the large node lifetime by providing side-by-side comparison across various platforms.