电容普查法(“模糊修理法”)检修VCD

目前的VCD机之中.较为常见的则有以下二个类型的解压板:一是单一的解压板部分;二是解压板和伺服电路做在一起的(简称为“二合一板”)。随着电路的设计技术的成熟,电路板的体积越做越小,电路的元件密度也是越来越密,这给我们的检修上作造成了不少不便和难度,也提出新的要求,只要我们好好地利用,检修的工作并不是十分困难。就笔者的经验来说,在VCD机的检修之中,激光头的损坏是占很大的比例,其次足以伺服板的故障和解压板的故障(约占20％).然而,正是这20％的故障。

液晶彩电二合一电源（IP）的模糊修理技巧

由于液晶彩电不提供图纸资料，即使从书店和网上查找到部分图纸资料，也不可能按照图纸资料的数据按部就班地进行维修，多数液晶彩电的维修都是采用模糊修理的方法判断故障部位。下面是笔者采用模糊修理法维修液晶彩电电源板的体会。

A fuzzy adaptive smoothing approach to robust endpoint detection based on MDL using sub-band speech

To develop a more robust endpoint detection algorithm, this paper first proposes a fuzzy adaptive smoothing algorithm. The general idea underlying adaptive smoothing is to adapt the short-term sub-band mean of the amplitude to the local attributes of speech on the basis of discontinuity measures. The adaptive smoothing algorithm in this paper utilizes a scale-space framework through the minimal description length （MDL）. We recommend using the fuzzy muhi-attribute decision making approach to select the proper sub-bands where the word boundary can be more reliably detected. The process and simulation of the fuzzy adaptive smoothing algorithm are given. The parameters utilize the mean amplitude of the audible frequency range （300 -3 700 Hz） and the sub-band mean of the amplitude （16 band filter-bank）. We selected the audible band energy because of its usefulness in detecting high-energy regions and making the distinction between speech and noise. Otherwise, the fuzzy adaptive smoothing algorithm is processed in sub-band speech to utilize the full range of frequency information.