Studies in Signal Processing with Applications

在过去的30年里，数字信号处理(DSP)技术在生物医学信号处理、声学、电信、图像和视频信号处理以及地震学等不同领域中得到了广泛的应用。高精度、低成本、高速A/D转换器和功能强大的VLSI数字信号处理器的出现，为DSP在这些领域不断扩大的应用提供了必要的动力。多维DSP技术正越来越多地被用于处理多维信号，例如从卫星、X射线和其他来源获得的图像和运动图像。视频电话和高清晰度电视是从2-D和3-D数字信号处理器领域的研究和开发进展中获得的一些产品。拟议研究的总体目标是开发各种高效和可靠的算法来过滤和处理信号(如图像、视频、语音和生物医学信号)。特别是，我们将在未来5年集中开展以下项目。 (A)我们打算探索使用离散切比雪夫变换(DTT)来代替DCT用于图像压缩，因为DTT的能量压缩和去相关特性与DCT非常相似，同时DTT可以实现快速的无乘法器实现。将特别注意DTT的实现问题以及我们在过去几年中提出的许多离散变换和算法。 (B)实现认知无线电的一个关键挑战是所需的动态适应，这可以通过在接收器体系结构中集成可重新配置的数字滤波器和滤波器组来实现。这个子项目将解决面积高效可重构滤波器的设计，这将使可重构滤波器组的设计能够独立控制其子带的带宽和中心频率。 (三)我们建议发展一套智能监察系统，以侦测、分类和识别人类的行动，并只在有需要时才要求人类注意。这种系统可用于家庭和建筑物监控、停车场监控等。它可以通过确定偏远地区患者或老年人的病情来增强卫生服务。 (D)我们打算解决跟踪多个运动目标的到达方向的问题。这在各种商业和军事应用中都有很大的兴趣。 (E)开发用于生物医学应用的算法。特别是，我们打算开发处理长期脑电记录的方法 这些项目的成果将有利于电信、医疗信号处理、VLSI、图像和视频信号处理以及该行业的无线部门。

Digital signal processing (DSP) techniques have found a variety of applications over the last 30 years in processing of signals in such diverse areas as biomedical signal 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. Multi-dimensional DSP techniques are being increasingly used in the processing of multi-dimensional 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 and processing of signals (such as image, video, speech, and biomedical signals). In particular, we will concentrate over the next 5 years on the following projects. (a) We intend to explore the use of discrete Tchiebichef transforms (DTT) in place of DCT for image compression, since the energy compaction and decorrelation properties of DTT are very similar to that of DCT and at the same time fast multiplier-less implementations are possible for DTT. Special attention would be paid to the implementation issues for DTT as well as for many of the discrete transforms and algorithms that we have proposed in the last few years. (b) A key challenge in realizing a cognitive radio is the dynamic adaptation needed, which can be made possible by the integration of reconfigurable digital filters and filter banks in the receiver architecture. This subproject will address the design of area efficient reconfigurable filters, which will enable the design of reconfigurable filter banks with independent control over the bandwidths & center frequencies of its subbands. (c) We propose to develop an intelligent surveillance system with the ability to detect, categorize and recognize human action, and ask for human attention only when necessary. Such a system could be used for home and building surveillance, parking lot monitoring, etc. It can enhance the health services by determining the condition of a patient or elderly people in a remote area. (d) We intend to address the problem of tracking direction of arrival of multiple moving targets. This is of great interest in a variety of commercial & military applications. (e) Development of algorithms for biomedical applications. In particular, we intend to develop methods to address the processing of long-term EEG recordings The results from these projects should be beneficial to the telecommunication, medical signal processing, VLSI, image and video signal processing, and wireless sectors of the industry.