Studies on signal processing with applications

在过去的20年中，数字信号处理（DSP）技术在诸如生物医学图像处理、声学、电信、图像和视频信号处理以及地震学等不同领域中的信号处理中得到了各种应用。 高分辨率、低成本、高速A/D转换器和功能强大的数字信号处理器的出现，为DSP在这些领域的应用提供了必要的动力。 在电话交换机中通常执行的功能，如长频带地面链路和卫星通信链路所需的音调产生、检测、滤波、多路转换和回波消除，现在都是使用一维（1-D）DSP技术来实现的。 考虑到在开发合适的复杂算法方面的研究进展以及支持其实时实现的VLSI硬件的可用性，完全依赖于1-D DSP技术的语音识别和语音编码技术也变得流行。 多维（m-D）DSP技术越来越多地用于处理m-D信号，例如从卫星、X射线和其它源获得的图片和运动图片。可视电话和HDTV是从2-D和3-D DSP领域的研究和开发进展中获得的产品的一些例子。 拟议研究的总体目标是开发各种有效和可靠的算法，用于信号（如语音，图像，视频和生物医学信号）的滤波，编码和处理，以期VLSI实现。为此，我们将继续我们的工作：（a）在特定DSP应用的VLSI设计实现中应用余数系统，（B）图像和视频序列中基于小波的降噪，这对提高医疗视频的质量很有用，（c）各种快速离散域变换的基于存储器的脉动架构，（d）无线网络的视频编码，以及（e）开发用于生物医学应用的算法。这些应该有利于电信，信号处理，超大规模集成电路和无线行业。

Digital signal processing (DSP) techniques have found a variety of applications over the last 20 years in the processing of signals in such diverse areas as biomedical image processing, acoustics, telecommunications, image and video signal processing, and seismology.  The availability of high-resolution, inexpensive, high-speed A/D converters and powerful digital signal processors in VLSI form has provided the necessary impetus for the ever-expanding applications of DSP in these areas.  Functions commonly performed in a telephone exchange like tone generation, detection, filtering, trans-multiplexing and echo cancellation required for long-band terrestrial links and satellite communication links are now implemented using one-dimensional (1-D) DSP techniques.  Speech recognition and speech coding techniques relying totally on 1-D DSP techniques have also become popular in view of research advances in the development of suitable complex algorithms and the availability of hardware in VLSI to support their real-time implementation.  Multidimensional (m-D) DSP techniques are being increasingly used in the processing of m-D signals such as pictures and moving pictures obtained from satellites, x-rays, and other sources. Videophone and HDTV are some examples of products that have gained from the research and development advances in the 2-D and 3-D DSP area.  The overall objectives of the proposed research are to develop a variety of efficient and reliable algorithms for filtering, coding and processing of signals (such as speech, image, video and biomedical signals) with a view to VLSI implementation. For this purpose, we will continue our work regarding (a) application of the residue number system in the VLSI design implementation for specific DSP applications, (b) wavelet-based noise reduction in images and video sequences, which should be useful in improving the quality of medical videos, (c) memory-based systolic architectures for various fast discrete domain transforms, (d) video coding for wireless networks, and (e) development of algorithms for biomedical applications. These should be beneficial to the telecommunication, signal processing, VLSI and wireless sectors of the industry.