Digital-Signal-Processing-Sanjit-K

ASK Modulation using MATLAB

瞬变电磁TEM层状介质正演.基于Matlab平台。地球物理学(TEM 1D forward)

对一个信号进行奇异值分解，根据差分谱最大值点，重构信号，达到降噪的目的。(Signal for a singular value decomposition, according to the differential spectrum maximum point, the reconstructed signal to achieve noise reduction purposes.)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

Crank-Crank mechanism

计算光子晶体态密度的程序，与文献吻合，只要小的修改就可计算其他结构的态密度(photonic crystal calculation of the density of states procedures, in line with the literature, as long as minor modifications other structures can be calculated density of states)

This program shows how to overlay a statistical map on top of an anatomical map.

ldpc译码算法 实现ldpc的译码 20个字(ldpc the)

image to text and ocr

C#小波分析源程序，不同于matlab，完全底层的代码(C# source wavelet analysis, unlike matlab, full underlying code)