Now showing items 1-10 of 215
Generalized Digital Butterworth Filter Design
This paper presents a formula-based method for the design of IIR filters having more zeros than (nontrivial) poles. The filters are designed so that their square magnitude frequency responses are maximally-flat at <i>m</i> ...
VLSI Architectures for Multitier Wireless Systems
Next-generation computing systems will be highly integrated using wireless networking. The Rice Everywhere NEtwork (RENÃ ) project is exploring the integration of WCDMA cellular systems, high speed wireless LANs, and home ...
Time-Frequency Complexity and Information
Many functions have been proposed for estimating signal information content and complexity on the time-frequency plane, including moment-based measures such as the time-bandwidth product and the Shannon and Renyi entropies. ...
A Different First Course in Electrical Engineering
A Different Course in Electrical Engineering
Spectral Optimization for Communication in the Presence of Crosstalk
This paper presents a general framework for designing optimal transmit spectra for communication services dominated by crosstalk --- for example Digital Subscriber Lines (DSLs) and wireless LANs. Using the channel, noise, ...
Implementation of Channel Estimation and Multiuser Detection Algorithms for W-CDMA on Digital Signal Processors
Proposed algorithms for Third Generation W-CDMA communication systems have extremely high performance requirements. In this paper, we study the implementation issues involved for one of the proposed multiuser channel ...
Nonlinear Wavelet Transforms for Image Coding
We examine the central issues of invertibility, stability, artifacts, and frequency-domain characteristics in the construction of nonlinear analogs of the wavelet transform. The lifting framework for wavelet construction ...
Improved Type-Based Detection of Analog Signals
When applied to continuous-time observations, type-based detection strategies are limited by the necessity to crudely quantize each sample. To alleviate this problem, we smooth the types for both the training and observation ...
Wavelet -Based Statistical Signal Processing using Hidden Markov Models
Wavelet-based statistical signal processing techniques such as denoising and detection typically model the wavelet coefficients as independent or jointly Gaussian. These models are unrealistic for many real-world signals. ...
Wavelet-Based Transformations for Nonlinear Signal Processing
Nonlinearities are often encountered in the analysis and processing of real-world signals. In this paper, we introduce two new structures for nonlinear signal processing. The new structures simplify the analysis, design, ...