xian1

kground: Abnormally high CSF 3-OMD occurs frequently for RLS patients indicating either increased L-dopa synthesis, limitations in L-dopa decarboxylation or increased MAT/COMT activity, or some combination of these. Increased tyrosine hydroxylase activity was found on both the RLS autopsy and the rodent iron-deprivation model of RLS, suggesting increased DA synthesis in RLS. We, therefore, hypothesized elevated 3-OMD in RLS results from increased DA synthesis and that this should occur accordingly with increased HVA. It would then also reflect both the more severe iron insufficiency pathology of RLS and greater clinical severity, shown by the objective measure of PLMS/hr. Methods: Patients off RLS medications and matched controls had

一个端点检测程序，用matlab编写。endpoint detection(an endpoint detection procedures, using Matlab prepared. Endpoint detection)

在MATLAB生成的FIG中进行局部放大，(FIG generated in MATLAB in the enlarged)

This example application shows you how to use Real-Time Workshop Embedded Coder to target a dual core Blackfin microprocessor. The complete build is managed by a template makefile and control over the memory regions is provided by custom storage classes. The example imposes a top level architecture on the model to define the split of model code between the two cores. This document describes a complete run-through of the model from Simulink simulation to code simulation using VisualDSP. I think it will take about 1 hour to go through the example once you have VisualDSP installed.

Simulation of Rake receiver -- simple

Buck peak current mode control

RTI培训教程,汽车行业进行半实物仿真用，比较有使用价值(RTI training course, the automotive industry with the semi-physical simulation, compared with the value)

对LFM线性调频脉冲雷达的目标回波进行建模仿真，通过匹配滤波器接收，并且进行动目标检测MTD(For LFM chirp radar target echo simulation modeling, received through the matched filter and performs moving target detection MTD)

图像处理的DWT算法，用于基础图像处理学习。matlab语言制作(image processing with DWTimage processing with DWTimage processing with DWT)

In this i attached matlab code for indoor localization using WIFI and FM signal features classified by KNN classifier to predict the fingure print of the building structure.