近年來(lái)，隨著DSP技術(shù)的快速發(fā)展，數(shù)字視頻處理技術(shù)得到了越來(lái)越廣泛的應(yīng)用。邊緣檢測(cè)是是數(shù)字視頻處理中的一項(xiàng)關(guān)鍵技術(shù)，而且是進(jìn)行對(duì)象檢測(cè)和識(shí)別的基礎(chǔ)。本文首先分析了當(dāng)前發(fā)展比較成熟的幾種邊緣檢測(cè)算法，然后針對(duì)基于DSP的數(shù)字視頻處理系統(tǒng)的特點(diǎn)選用Laplacian of Gaussian（LoG）邊緣檢測(cè)算法，并在基于DM642的數(shù)字視頻處理系統(tǒng)上實(shí)現(xiàn)，給出了仿真的結(jié)果。
Models UWB TX and RX using BPSK fifth derivative.
MATLAB Release: R13
Description: This m file models a UWB system using BPSK with the fifth order derivative of the gaussian pulse with correlation receiver and intgrator.
This program demonstrates some function approximation capabilities of a Radial Basis Function Network.
The user supplies a set of training points which represent some "sample" points for some arbitrary curve. Next, the user specifies the number of equally spaced gaussian centers and the variance for the network. Using the training samples, the weights multiplying each of the gaussian basis functions arecalculated using the pseudo-inverse (yielding the minimum least-squares solution). The resulting network is then used to approximate the function between the given "sample" points.
this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to estimate the hidden states of a nonlinear, non-Gaussian state space model.
The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application.
zemax源碼：
This DLL models a standard ZEMAX surface type, either plane, sphere, or conic
The surface also demonstrates a user-defined apodization filter
The filter is defined as part of the real ray trace, case 5
The filter can be used at the stop to produce x-y Gaussian apodization similar to the Gaussian pupil apodization in ZEMAX but separate in x and y.
The amplitude apodization is of the form EXP[-(Gx(x/R)^2 + Gy(y/R)^2)]
The transmission is of the form EXP[-2(Gx(x/R)^2 + Gy(y/R)^2)]
where
x^2 + y^2 = r^2
R = semi-diameter
The tranmitted intensity is maximum in the center.
T is set to 0 if semi-diameter < 1e-10 to avoid division by zero.
