Low power consumption in computing systems is a key requirement for devices such as cell phones and cameras. In this paper we present a low power DCT implementation using a highly scalable multiplier. This paper focuses on IDCT with playback applications such as digital photo displays. The proposed solution exploits the fact that the size of the multiplications varies per stage in a multistage IDCT implementation and configuring multipliers to match the needs of each stage saves power. Results are compared with Wallace and Array multipliers. We show that using a scalable multiplier and dynamically reconfiguring the width of the multiplier leads to significant power savings (over 72%) with negligible degradation in decoded image quality. 1
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
Abstract—This paper presents a cost-effective processor core de-sign that features the simplest hard...
The paper presents a VLSI architecture for the low-power and low-complexity implementation of 2D dis...
In this paper we present a low complexity discrete cosine transform (DCT) architectu...
In this paper we explore the architectural and technological VLSI design space in order to obtain tw...
Abstract: 2-D Discrete Cosine Transform (DCT) is widely used as the core of digital image and video ...
The multiplier free approximate DCT transform is proposed. The transform offers superior compression...
Abstract — Low complexity implementation of Discrete Cosine Transform (DCT) requires efficient reduc...
Abstract:-The DPST has been applied on both the modified Booth decoder and the compression tree of m...
IDCT (Inverse Discrete Cosine Transform) is a common algorithm being used with image and sound decom...
Image and video compression plays a major role in multimedia transmission. Specifically the discrete...
In this paper, we propose an array-based architecture for DCT computation with high scalability. The...
Discrete Cosine Transform (DCT) plays an important role in image and video compression, but computin...
Abstract—In this paper, we present area- and power-efficient architectures for the implementation of...
Recently, wireless sensor node systems are widely used in many applications, including healthcare, i...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
Abstract—This paper presents a cost-effective processor core de-sign that features the simplest hard...
The paper presents a VLSI architecture for the low-power and low-complexity implementation of 2D dis...
In this paper we present a low complexity discrete cosine transform (DCT) architectu...
In this paper we explore the architectural and technological VLSI design space in order to obtain tw...
Abstract: 2-D Discrete Cosine Transform (DCT) is widely used as the core of digital image and video ...
The multiplier free approximate DCT transform is proposed. The transform offers superior compression...
Abstract — Low complexity implementation of Discrete Cosine Transform (DCT) requires efficient reduc...
Abstract:-The DPST has been applied on both the modified Booth decoder and the compression tree of m...
IDCT (Inverse Discrete Cosine Transform) is a common algorithm being used with image and sound decom...
Image and video compression plays a major role in multimedia transmission. Specifically the discrete...
In this paper, we propose an array-based architecture for DCT computation with high scalability. The...
Discrete Cosine Transform (DCT) plays an important role in image and video compression, but computin...
Abstract—In this paper, we present area- and power-efficient architectures for the implementation of...
Recently, wireless sensor node systems are widely used in many applications, including healthcare, i...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
Abstract—This paper presents a cost-effective processor core de-sign that features the simplest hard...
The paper presents a VLSI architecture for the low-power and low-complexity implementation of 2D dis...